diff --git a/cvodeDense.cpp b/cvodeDense.cpp
index e7511fe..ce567fd 100644
--- a/cvodeDense.cpp
+++ b/cvodeDense.cpp
@@ -1,6 +1,6 @@
 #include "cvodeDense.h"
 
-CvodeDense::CvodeDense(Ode &ode, 
+CvodeDense::CvodeDense(Ode &ode,
                        const double reltol, const double *abstol,
 											 const bool userJac)
     :ode_(ode),
@@ -8,6 +8,7 @@ CvodeDense::CvodeDense(Ode &ode,
      reltol_(reltol),
      abstol_(NULL),
      cvode_mem_(NULL),
+     sunctx_(NULL),
      dense_matrix_(NULL),
      dense_ls_(NULL),
      t_solve_(0.),
@@ -15,17 +16,24 @@ CvodeDense::CvodeDense(Ode &ode,
      nst_last_(0),
      nst_eq_(0) {
   int flag;
+  // Create the SUNDIALS context
+  flag = SUNContext_Create(NULL, &sunctx_);
+  CheckFlag(&flag, "SUNContext_Create", 1);
+  //create vector y
+  ode_.y_ = N_VNew_Serial(kDimen, sunctx_);
+  CheckFlag(static_cast<void *>(ode_.y_), "N_VNew_Serial", 0);
+
   /* -----------Initialize absolute value vector----------*/
-  abstol_ = N_VNew_Serial(kDimen);
-  CheckFlag((void *)abstol_, "N_VNew_Serial", 0);
+  abstol_ = N_VNew_Serial(kDimen, sunctx_);
+  CheckFlag(static_cast<void *>(abstol_), "N_VNew_Serial", 0);
   for (int i=0; i<kDimen; i++) {
     NV_Ith_S(abstol_, i) = abstol[i];
   }
 
   /* ----------------Intialize solver---------------------*/
-  /* Call CVodeCreate to create the solver memory and specify the 
+  /* Call CVodeCreate to create the solver memory and specify the
    * Backward Differentiation Formula and the use of a Newton iteration */
-  cvode_mem_ = CVodeCreate(CV_BDF);
+  cvode_mem_ = CVodeCreate(CV_BDF, sunctx_);
   CheckFlag((void *)cvode_mem_, "CVodeCreate", 0);
 
   /* Set the user data pointer to ode*/
@@ -35,7 +43,7 @@ CvodeDense::CvodeDense(Ode &ode,
   /* Call CVodeInit to initialize the integrator memory and specify the
    * user's right hand side function in y'=f(t,y), the inital time T0, and
    * the initial dependent variable vector y. */
-  flag = CVodeInit(cvode_mem_, ode_.wrapRHS, 
+  flag = CVodeInit(cvode_mem_, ode_.wrapRHS,
                    ode_.t_, ode_.y_);
   CheckFlag(&flag, "CVodeInit", 1);
 
@@ -49,21 +57,21 @@ CvodeDense::CvodeDense(Ode &ode,
   //CheckFlag(&flag, "CVDense", 1);
 
   /* Create dense SUNMatrix for use in linear solves */
-  dense_matrix_ = SUNDenseMatrix(kDimen, kDimen);
+  dense_matrix_ = SUNDenseMatrix(kDimen, kDimen, sunctx_);
   CheckFlag((void *)dense_matrix_, "SUNDenseMatrix", 0);
 
   /* Create dense SUNLinearSolver object for use by CVode */
-  dense_ls_ = SUNDenseLinearSolver(ode_.y_, dense_matrix_);
+  dense_ls_ = SUNLinSol_Dense(ode_.y_, dense_matrix_, sunctx_);
   CheckFlag((void *)dense_ls_, "SUNDenseLinearSolver", 0);
 
-  /* Call CVDlsSetLinearSolver to attach the matrix and linear solver to CVode */
-  flag = CVDlsSetLinearSolver(cvode_mem_, dense_ls_, dense_matrix_);
-  CheckFlag(&flag, "CVDlsSetLinearSolver", 1);
+  /* Call CVodeSetLinearSolver to attach the matrix and linear solver to CVode */
+  flag = CVodeSetLinearSolver(cvode_mem_, dense_ls_, dense_matrix_);
+  CheckFlag(&flag, "CVodeSetLinearSolver", 1);
 
   /* Set the Jacobian routine to Jac (user-supplied) */
 	if (userJac) {
-		flag = CVDlsSetJacFn(cvode_mem_, ode_.wrapJac);
-		CheckFlag(&flag, "CVDlsSetJacFn", 1);
+		flag = CVodeSetJacFn(cvode_mem_, ode_.wrapJac);
+		CheckFlag(&flag, "CVodeSetJacFn", 1);
 	}
 }
 
@@ -97,10 +105,18 @@ void CvodeDense::SetInitStep(const double hinit) {
 
 
 CvodeDense::~CvodeDense() {
+  /* destroy vector y*/
+  N_VDestroy(ode_.y_);
   /*Free abstol_ vector*/
-  N_VDestroy_Serial(abstol_);
+  N_VDestroy(abstol_);
   /* Free integrator memory */
   CVodeFree(&cvode_mem_);
+  // Free linear solver memory
+  SUNLinSolFree(dense_ls_);
+  // Free matrix memory
+  SUNMatDestroy(dense_matrix_);
+  // Free SUNDIALS context
+  SUNContext_Free(&sunctx_);
 }
 
 void CvodeDense::Solve(const double tfinal) {
@@ -111,16 +127,16 @@ void CvodeDense::Solve(const double tfinal) {
                CV_NORMAL);
   CheckFlag(&flag, "CVode", 3);
   t = clock() - t;
-  t_solve_ = ((float)t)/CLOCKS_PER_SEC; /*record the run time*/ 
+  t_solve_ = ((float)t)/CLOCKS_PER_SEC; /*record the run time*/
   nst_last_ = GetNstep() - nst;
   /*floor small negative abundances to avoid numerical problems*/
   /*TODO: adjust species abundances to conserve the elements*/
   for (int i=0; i<kDimen; i++) {
     if ( NV_Ith_S(ode_.y_, i) < 0. ) {
       printf("Warning: correcting negative aboundances of species ");
-      //printf("%d from %0.4e to abstol_[i] = %0.4e.\n", i,  
+      //printf("%d from %0.4e to abstol_[i] = %0.4e.\n", i,
       //       NV_Ith_S(ode_.y_, i), NV_Ith_S(abstol_, i));
-      printf("%d from %0.4e to zero.\n", i,  
+      printf("%d from %0.4e to zero.\n", i,
              NV_Ith_S(ode_.y_, i));
       //NV_Ith_S(ode_.y_, i) = NV_Ith_S(abstol_, i);
       NV_Ith_S(ode_.y_, i) = 0.;
@@ -139,7 +155,7 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
   }
 
   /* Guess the time toward equalibrium.
-   *  To make a guess, we compute dx/dt at the initial conditions and at a point 
+   *  To make a guess, we compute dx/dt at the initial conditions and at a point
    *  slightly perturbed from them, and then use the most restrictive timestep we find.
    *  We also require the minmum time of 10yr=3.16e8s and maximum time of
    *  tmax/10 */
@@ -151,13 +167,13 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
   double dt1 = tevol_max;
   double dt2 = tevol_max;
   double tevol = 0.;
-  N_Vector ydot = N_VNew_Serial(kDimen);
-  N_Vector ypert = N_VNew_Serial(kDimen);
+  N_Vector ydot = N_VNew_Serial(kDimen, sunctx_);
+  N_Vector ypert = N_VNew_Serial(kDimen, sunctx_);
   /* get the minimum component of dt1, restrict to be smaller than tevol_max*/
   ode_.RHS(ode_.t_, ode_.y_, ydot);
   for (int i=0; i<kDimen; i++) {
-    dt1 = std::min( dt1, fabs( 
-               ( NV_Ith_S(ode_.y_, i) + NV_Ith_S(abstol_, i) )  
+    dt1 = std::min( dt1, fabs(
+               ( NV_Ith_S(ode_.y_, i) + NV_Ith_S(abstol_, i) )
                 / ( NV_Ith_S(ydot, i) + small__ ) )
                   );
   }
@@ -169,8 +185,8 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
    * than tevol_max*/
   ode_.RHS(ode_.t_+dt1, ypert, ydot);
   for (int i=0; i<kDimen; i++) {
-    dt2 = std::min( dt2, fabs( 
-               ( NV_Ith_S(ypert, i) + NV_Ith_S(abstol_, i) )  
+    dt2 = std::min( dt2, fabs(
+               ( NV_Ith_S(ypert, i) + NV_Ith_S(abstol_, i) )
                 / ( NV_Ith_S(ydot, i) + small__ ) )
                   );
   }
@@ -183,11 +199,11 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
   }
 
   /*destroy created vectors*/
-  N_VDestroy_Serial(ydot);
-  N_VDestroy_Serial(ypert);
+  N_VDestroy(ydot);
+  N_VDestroy(ypert);
 
   /*find equalibrium.*/
-  N_Vector yprev = N_VNew_Serial(kDimen);
+  N_Vector yprev = N_VNew_Serial(kDimen, sunctx_);
   double err[kDimen];
   double maxerr;
   clock_t t = clock();
@@ -196,7 +212,7 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
 		/*reinitialize ode*/
 		flag = CVodeReInit(cvode_mem_, ode_.t_, ode_.y_);
 		CheckFlag(&flag, "CVodeReInit", 1);
-		
+
     /*copy y to yprev*/
     for (int i=0; i<kDimen; i++) {
       NV_Ith_S(yprev, i) = NV_Ith_S(ode_.y_, i);
@@ -205,7 +221,7 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
     Solve(ode_.t_ + tevol);
     /*Calculate the relative differences of y from last timestep*/
     for (int i=0; i<kDimen; i++) {
-      err[i] = fabs(  NV_Ith_S(ode_.y_, i) / ( NV_Ith_S(yprev, i) + small__ ) 
+      err[i] = fabs(  NV_Ith_S(ode_.y_, i) / ( NV_Ith_S(yprev, i) + small__ )
           - 1.  );
       /*not consider aboundances below 10 times absolute tolerance*/
       if ( NV_Ith_S(ode_.y_, i) < 10*NV_Ith_S(abstol_, i) ) {
@@ -219,19 +235,19 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
               ode_.t_ - tevol, ode_.t_, maxerr);
     }
     if ( maxerr < reltol_*tolfac ) {
-      N_VDestroy_Serial(yprev);
+      N_VDestroy(yprev);
       t = clock() - t;
-      t_solve_eq_ = ((float)t)/CLOCKS_PER_SEC; /*record the run time*/ 
+      t_solve_eq_ = ((float)t)/CLOCKS_PER_SEC; /*record the run time*/
       nst_eq_ = GetNstep() - nst;
       return;
     }
     if (tevol > tevol_max) {
-      N_VDestroy_Serial(yprev);
+      N_VDestroy(yprev);
       t = clock() - t;
-      t_solve_eq_ = ((float)t)/CLOCKS_PER_SEC; /*record the run time*/ 
+      t_solve_eq_ = ((float)t)/CLOCKS_PER_SEC; /*record the run time*/
       nst_eq_ = GetNstep() - nst;
       printf(
-			 "Warning: not reaching equalibrium in tevol_max, residual=%0.4e.\n", 
+			 "Warning: not reaching equalibrium in tevol_max, residual=%0.4e.\n",
 			 maxerr);
       return;
     }
@@ -239,7 +255,7 @@ void CvodeDense::SolveEq(const double tolfac, const double tmax,
   }
 
 }
-  
+
 void CvodeDense::PrintStats() const {
   long int nst, nfe, nsetups, nje, nfeLS, nni, ncfn, netf, nge;
   int flag;
@@ -257,10 +273,10 @@ void CvodeDense::PrintStats() const {
   flag = CVodeGetNumNonlinSolvConvFails(cvode_mem_, &ncfn);
   CheckFlag(&flag, "CVodeGetNumNonlinSolvConvFails", 1);
 
-  flag = CVDlsGetNumJacEvals(cvode_mem_, &nje);
-  CheckFlag(&flag, "CVDlsGetNumJacEvals", 1);
-  flag = CVDlsGetNumRhsEvals(cvode_mem_, &nfeLS);
-  CheckFlag(&flag, "CVDlsGetNumRhsEvals", 1);
+  flag = CVodeGetNumJacEvals(cvode_mem_, &nje);
+  CheckFlag(&flag, "CVodeGetNumJacEvals", 1);
+  flag = CVodeGetNumLinRhsEvals(cvode_mem_, &nfeLS);
+  CheckFlag(&flag, "CVodeGetNumLinRhsEvals", 1);
 
   flag = CVodeGetNumGEvals(cvode_mem_, &nge);
   CheckFlag(&flag, "CVodeGetNumGEvals", 1);
diff --git a/cvodeDense.h b/cvodeDense.h
index 6c08b3f..4c69ab6 100644
--- a/cvodeDense.h
+++ b/cvodeDense.h
@@ -15,11 +15,11 @@
 #include <time.h> /*clock_t, clock, CLOCKS_PER_SEC*/
 #include <algorithm>    /*std::max, std::max_element*/
 #include "ode.h"
-#include "sundial.h" /*Ith, IJth macro and CheckFlag function*/
+#include "sundial.h" /*CheckFlag function*/
 
 class CvodeDense {
   public:
-    CvodeDense(Ode &ode, 
+    CvodeDense(Ode &ode,
                const double reltol, const double *abstol,
 							 const bool userJac=false);
     ~CvodeDense();
@@ -39,7 +39,7 @@ class CvodeDense {
      * tolfac: conservative factor of tolerance, default 10. The real torlerance
      *      is set as the relative torlerance times the tolfac.
      * tmax: maximum time for reaching equalibrium, default 3.16e13 s or * * 1Myr.*/
-    void SolveEq(const double tolfac=10, const double tmax=3.16e13, 
+    void SolveEq(const double tolfac=10, const double tmax=3.16e13,
                  const bool verbose=false, const double tmin=3.16e10);
     void PrintStats() const;
     /*write t_solve_ and t_solve_eq to file*/
@@ -62,14 +62,15 @@ class CvodeDense {
     const int kDimen;
     realtype reltol_;
     N_Vector abstol_;
+    SUNContext sunctx_;
     SUNMatrix dense_matrix_;
     SUNLinearSolver dense_ls_;
     void *cvode_mem_;
-    /*record the run time and number of steps for the last time calling CVode 
+    /*record the run time and number of steps for the last time calling CVode
      * solver in Solve function.*/
     double t_solve_;
     long int nst_last_;
-    /*recored the run time and number of steps for the last time calling SolveEq 
+    /*recored the run time and number of steps for the last time calling SolveEq
      * to evolve to equalibrium.*/
     double t_solve_eq_;
     long int nst_eq_;
diff --git a/gow17.cpp b/gow17.cpp
index 5540774..2b13926 100644
--- a/gow17.cpp
+++ b/gow17.cpp
@@ -291,9 +291,6 @@ gow17::gow17()
    fCplusCR_(1.),
    fHeplusgr_(1.)
 {
-  y_ = N_VNew_Serial(kDimen); /* Create serial vector y*/
-  CheckFlag((void *)y_, "N_VNew_Serial", 0);
-
 	/*Default values of physical parameters*/
   Zg_ = 1.;
   Zd_ = 1.;
@@ -315,8 +312,6 @@ gow17::gow17()
 }
 
 gow17::~gow17() {
-  /* destroy serial vector y*/
-  N_VDestroy_Serial(y_);
 }
 
 /*-------------------------RHS and Jac-----------------------------*/
diff --git a/ode.h b/ode.h
index bb2aca5..945b233 100644
--- a/ode.h
+++ b/ode.h
@@ -8,7 +8,7 @@
 #include <nvector/nvector_serial.h> /* N_Vector type*/
 #include <sunmatrix/sunmatrix_dense.h> /* access to dense SUNMatrix  */
 #include <stdio.h>
-#include "sundial.h" /*Ith IJth macro and CheckFlag function*/
+#include "sundial.h" /*CheckFlag function*/
 class Ode {
   friend class CvodeDense;
   public:
@@ -25,7 +25,7 @@ class Ode {
      *Note that user_data is always set to pointer to Ode class.*/
     virtual void WriteStat (FILE *pf) const;
     static int wrapJac(const realtype t,
-                       const N_Vector y, const N_Vector fy, 
+                       const N_Vector y, const N_Vector fy,
                        SUNMatrix J, void *user_data,
                        N_Vector tmp1, N_Vector tmp2, N_Vector tmp3);
     static int wrapRHS(const realtype t, const N_Vector y,
@@ -41,7 +41,7 @@ class Ode {
                    N_Vector ydot) = 0;
     /*Jacobian*/
     virtual int Jac(const realtype t,
-                    const N_Vector y, const N_Vector fy, 
+                    const N_Vector y, const N_Vector fy,
                     SUNMatrix J, N_Vector tmp1, N_Vector tmp2, N_Vector tmp3) = 0;
   protected:
     /*status of ODE. Note the the ODE solver will change this. */
diff --git a/out_example_simple/prof000000.dat b/out_example_simple/prof000000.dat
index e897b96..61fc484 100644
--- a/out_example_simple/prof000000.dat
+++ b/out_example_simple/prof000000.dat
@@ -1,3 +1,3 @@
-tSolve =   1.3200e-04    9.0000e-05    7.5000e-05    7.5000e-05    7.6000e-05    7.5000e-05    7.8000e-05    7.5000e-05    7.5000e-05    7.5000e-05    7.4000e-05    7.6000e-05    7.5000e-05    7.6000e-05    7.4000e-05    7.4000e-05    7.5000e-05    7.5000e-05    7.4000e-05    7.6000e-05    7.4000e-05    7.6000e-05    7.4000e-05    7.5000e-05    7.5000e-05    7.4000e-05    7.5000e-05    7.5000e-05    7.4000e-05    7.4000e-05    7.4000e-05    7.6000e-05    7.5000e-05    7.6000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.4000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.1000e-05    8.2000e-05    8.1000e-05    8.3000e-05    8.2000e-05    8.1000e-05    8.4000e-05    8.2000e-05    8.1000e-05    8.1000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.1000e-05    8.2000e-05    8.1000e-05    8.1000e-05    8.1000e-05    8.2000e-05    9.0000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.1000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.5000e-05    8.2000e-05    8.2000e-05    9.4000e-05    8.4000e-05    8.2000e-05    8.4000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.4000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.3000e-05    8.3000e-05    8.3000e-05    8.2000e-05    8.3000e-05    8.7000e-05    9.7000e-05    1.5200e-04    1.0600e-04    8.4000e-05    8.2000e-05    8.4000e-05    8.4000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.3000e-05    8.3000e-05    8.4000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.4000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.5000e-05    8.2000e-05    8.7000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.5000e-05    8.1000e-05    8.1000e-05    8.2000e-05    8.1000e-05    8.4000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.1000e-05    8.3000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.1000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.4000e-05    8.1000e-05    8.1000e-05    8.1000e-05    8.4000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.5000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.3000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.1000e-05    8.3000e-05    8.3000e-05    8.1000e-05    8.1000e-05    8.3000e-05    8.3000e-05    8.2000e-05    8.5000e-05    8.2000e-05    8.3000e-05    8.1000e-05    8.2000e-05    8.1000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.2000e-05    8.3000e-05    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diff --git a/out_example_simple/prof000001.dat b/out_example_simple/prof000001.dat
index 62768fc..cb622b1 100644
--- a/out_example_simple/prof000001.dat
+++ b/out_example_simple/prof000001.dat
@@ -1,3 +1,3 @@
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1.5300e-04    1.6100e-04    1.5400e-04    1.6100e-04    1.5600e-04    1.6000e-04    1.5400e-04    1.7800e-04    1.7500e-04    1.7600e-04    1.7600e-04    1.7300e-04    1.7400e-04    1.7300e-04    1.7100e-04    1.7000e-04    1.6300e-04    1.7300e-04    1.6300e-04    1.7100e-04    1.6600e-04    1.6800e-04    1.6700e-04    1.6500e-04    1.7200e-04    1.6400e-04    1.7200e-04    1.6800e-04    1.6800e-04    1.6800e-04    1.6700e-04    1.6700e-04    1.6700e-04    1.6800e-04    1.6300e-04    1.6800e-04    1.6000e-04    1.6000e-04    1.6100e-04    1.6800e-04    1.6800e-04    1.6300e-04    1.6700e-04    1.6900e-04    1.6700e-04    1.6700e-04    1.6800e-04    1.6900e-04    1.6700e-04    1.7200e-04    1.6400e-04    1.6200e-04    1.6500e-04    1.6100e-04    1.6000e-04    1.5900e-04    1.6500e-04    1.6000e-04    1.6900e-04    1.6200e-04    1.6800e-04    1.6100e-04    1.6900e-04    1.6000e-04    1.7000e-04    1.6200e-04    1.7000e-04    1.6200e-04    1.7300e-04    1.6300e-04    1.6400e-04    1.6400e-04    1.6300e-04    1.6300e-04    1.6200e-04    1.6200e-04    1.5700e-04    1.5700e-04    1.5600e-04    1.5600e-04    1.5800e-04    1.5700e-04    1.5600e-04    1.5800e-04    1.5700e-04    1.6300e-04    1.5000e-04    1.5000e-04    1.5000e-04    1.5000e-04    1.4700e-04    1.4300e-04    1.3500e-04    1.4200e-04    1.3500e-04    1.3400e-04    1.3800e-04    1.3100e-04    1.3000e-04    1.3200e-04    1.3400e-04    1.3500e-04    1.3300e-04    1.3800e-04    1.3800e-04    1.4000e-04    1.3100e-04    1.2600e-04    1.2500e-04    1.2700e-04    1.2600e-04    1.2800e-04    1.2600e-04    1.2600e-04    1.2600e-04    1.2700e-04    1.2700e-04    1.2600e-04    1.2600e-04    1.2700e-04    1.2600e-04    1.2600e-04    1.2800e-04    1.2700e-04    1.2500e-04    1.2700e-04    1.2600e-04    1.2800e-04    1.2600e-04    1.2600e-04    1.2700e-04    1.2800e-04    1.2600e-04    1.2600e-04    1.2600e-04    1.2800e-04    1.2600e-04    1.2600e-04    1.2700e-04    1.2500e-04    1.3700e-04    1.3300e-04    1.3300e-04    1.3300e-04    1.3400e-04    1.3300e-04    1.4000e-04    1.2700e-04    1.2600e-04    1.2500e-04    1.2500e-04    1.2700e-04    1.2600e-04    1.6800e-04    1.6100e-04    1.6300e-04    1.6200e-04    1.6300e-04    1.4400e-04    1.2600e-04    1.2600e-04    1.2700e-04    1.2900e-04    1.2900e-04    1.2800e-04    1.2700e-04    1.2600e-04    1.2800e-04    1.2900e-04    1.2800e-04    1.2800e-04    1.2800e-04    1.2600e-04    1.2800e-04    1.2900e-04    1.2700e-04    1.2800e-04    1.2900e-04    1.2800e-04    1.2700e-04    1.2700e-04    1.2600e-04    1.2800e-04    1.2700e-04    1.2900e-04    1.2700e-04    1.2800e-04    1.2700e-04    1.2700e-04    1.2600e-04    1.4100e-04    1.2700e-04    1.2800e-04    1.2700e-04    1.2700e-04    1.2800e-04    1.2800e-04    1.2700e-04    1.2700e-04    1.2800e-04    1.2700e-04    1.2900e-04    1.2700e-04    1.2700e-04    1.2400e-04    1.2500e-04    1.3200e-04    1.2400e-04    1.2400e-04    1.5700e-04    1.2700e-04    1.2600e-04    1.4000e-04    1.4900e-04    1.9500e-04    1.6200e-04    1.6000e-04    1.3200e-04    1.6700e-04    1.3100e-04    1.3400e-04    1.3200e-04    1.3300e-04    1.3300e-04    1.3100e-04    1.3200e-04    1.3400e-04    1.3100e-04    1.3200e-04    1.3200e-04    1.7400e-04    1.3600e-04    1.3300e-04    1.3300e-04    1.2400e-04    1.2300e-04    1.2900e-04    1.2700e-04    1.2700e-04    1.2700e-04    1.2800e-04    1.2800e-04    1.2900e-04    1.2900e-04    1.2800e-04    1.2800e-04    1.2900e-04    1.2900e-04    1.2800e-04    1.2900e-04    1.2800e-04    1.2900e-04    1.2900e-04    1.2900e-04    1.2800e-04    1.2900e-04    1.2900e-04    1.2900e-04    1.2900e-04    1.2900e-04    1.2800e-04    1.2000e-04    1.2100e-04    1.2000e-04    1.2100e-04    1.2100e-04    1.2100e-04    1.2000e-04    1.2000e-04    1.2000e-04    1.2100e-04    1.1900e-04    1.1900e-04    1.2000e-04    1.1900e-04    1.2100e-04    1.1900e-04    1.1900e-04    1.2000e-04    1.1900e-04    1.1900e-04    1.1900e-04    1.1800e-04    1.1900e-04    1.2000e-04    1.2000e-04    1.1800e-04    1.1900e-04    1.1800e-04    1.2000e-04    1.2100e-04    1.2000e-04    1.2000e-04    1.1800e-04    1.2100e-04    1.1900e-04    1.3100e-04    1.1900e-04    1.2000e-04    1.2000e-04    1.2000e-04    1.1000e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1000e-04    1.1200e-04    1.1000e-04    1.1200e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1200e-04    1.1900e-04    1.1100e-04    1.1200e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1000e-04    1.1200e-04    1.1200e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1300e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1000e-04    1.1100e-04    1.1100e-04    1.1000e-04    1.1200e-04    1.1200e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1100e-04    1.1300e-04    1.1100e-04    1.1000e-04    1.1200e-04    1.1200e-04    1.1100e-04    1.1000e-04    1.1200e-04    1.1100e-04    1.1000e-04    1.1200e-04    1.1100e-04    1.2000e-04    1.1900e-04    1.1700e-04    1.1800e-04  
+tSolve =   1.0800e-04    1.7000e-04    1.0000e-04    9.9000e-05    9.2000e-05    9.1000e-05    9.3000e-05    9.2000e-05    9.2000e-05    9.3000e-05    9.4000e-05    9.3000e-05    9.2000e-05    9.1000e-05    9.2000e-05    9.2000e-05    9.2000e-05    9.3000e-05    9.5000e-05    9.1000e-05    9.2000e-05    9.2000e-05    9.1000e-05    9.1000e-05    9.1000e-05    9.3000e-05    9.1000e-05    9.4000e-05    9.2000e-05    9.1000e-05    9.0000e-05    9.1000e-05    9.3000e-05    9.2000e-05    9.1000e-05    9.1000e-05    9.1000e-05    9.1000e-05    9.2000e-05    9.1000e-05    9.3000e-05    9.0000e-05    9.1000e-05    9.3000e-05    9.4000e-05    9.1000e-05    9.1000e-05    9.3000e-05    9.3000e-05    9.1000e-05    9.2000e-05    9.2000e-05    9.3000e-05    9.1000e-05    9.1000e-05    9.2000e-05    9.1000e-05    9.2000e-05    9.1000e-05    9.1000e-05    9.0000e-05    9.1000e-05    9.2000e-05    9.3000e-05    9.2000e-05    9.3000e-05    9.1000e-05    9.1000e-05    9.2000e-05    9.1000e-05    9.2000e-05    9.6000e-05    1.0900e-04    9.3000e-05    9.5000e-05    9.3000e-05    9.2000e-05    9.1000e-05    9.2000e-05    1.3600e-04    9.4000e-05    9.2000e-05    9.1000e-05    9.1000e-05    9.3000e-05    9.4000e-05    9.2000e-05    9.8000e-05    9.9000e-05    1.0000e-04    9.9000e-05    1.0000e-04    1.0000e-04    1.0000e-04    1.0100e-04    1.0000e-04    9.9000e-05    1.0100e-04    9.8000e-05    1.0000e-04    1.0000e-04    1.0000e-04    1.0000e-04    9.9000e-05    9.9000e-05    1.0000e-04    1.0100e-04    1.0000e-04    9.9000e-05    9.9000e-05    1.0100e-04    1.0000e-04    9.9000e-05    9.8000e-05    9.8000e-05    1.0200e-04    9.8000e-05    9.9000e-05    9.9000e-05    9.8000e-05    1.0000e-04    1.0000e-04    9.9000e-05    1.0000e-04    9.9000e-05    1.0000e-04    9.9000e-05    9.9000e-05    9.9000e-05    1.0100e-04    1.0000e-04    1.0300e-04    1.0000e-04    1.0000e-04    9.8000e-05    9.8000e-05    1.0100e-04    1.0100e-04    1.0000e-04    9.9000e-05    1.0100e-04    1.0100e-04    9.8000e-05    9.8000e-05    9.9000e-05    1.0000e-04    1.0000e-04    1.0000e-04    9.9000e-05    1.0000e-04    9.9000e-05    1.0100e-04    1.0200e-04    9.9000e-05    9.9000e-05    9.9000e-05    9.8000e-05    1.0000e-04    1.0000e-04    9.9000e-05    1.0100e-04    1.0000e-04    9.9000e-05    1.0600e-04    9.8000e-05    1.0000e-04    9.9000e-05    1.0000e-04    1.0000e-04    9.9000e-05    9.9000e-05    1.0000e-04    1.0800e-04    9.9000e-05    9.9000e-05    9.8000e-05    9.9000e-05    9.9000e-05    1.0000e-04    9.8000e-05    1.0000e-04    1.0100e-04    1.0100e-04    9.9000e-05    9.8000e-05    9.9000e-05    1.0000e-04    1.0000e-04    1.0000e-04    9.8000e-05    9.9000e-05    9.9000e-05    1.0000e-04    1.0000e-04    1.0000e-04    1.0000e-04    1.0100e-04    1.0000e-04    9.8000e-05    9.9000e-05    9.9000e-05    9.9000e-05    1.0000e-04    1.0000e-04    1.0000e-04    9.8000e-05    1.0000e-04    9.8000e-05    9.8000e-05    1.0000e-04    1.0000e-04    1.0000e-04    1.0100e-04    1.0000e-04    9.9000e-05    1.0000e-04    9.8000e-05    1.0100e-04    1.0000e-04    9.9000e-05    1.0000e-04    1.0000e-04    9.9000e-05    9.9000e-05    9.9000e-05    1.0000e-04    1.0700e-04    1.0600e-04    1.0500e-04    1.0700e-04    1.1000e-04    1.0800e-04    1.0700e-04    1.0600e-04    1.0600e-04    1.0600e-04    1.0600e-04    1.0600e-04    1.0600e-04    1.0800e-04    1.0700e-04    1.0700e-04    1.0700e-04    1.0800e-04    1.0800e-04    1.0800e-04    1.0900e-04    1.0700e-04    1.0700e-04    1.0900e-04    1.0700e-04    1.0700e-04    1.0800e-04    1.0700e-04    1.0700e-04    1.0900e-04    1.0800e-04    1.0700e-04    1.0900e-04    1.0800e-04    1.0700e-04    1.0700e-04    1.0700e-04    1.0700e-04    1.0700e-04    1.0700e-04    1.0700e-04    1.0800e-04    1.0600e-04    1.0800e-04    1.0900e-04    1.0700e-04    1.0800e-04    1.0800e-04    1.0800e-04    1.0700e-04    1.0600e-04    1.0800e-04    1.0600e-04    1.0700e-04    1.0600e-04    1.0800e-04    1.0700e-04    1.1800e-04    1.0700e-04    1.0700e-04    1.0900e-04    1.0900e-04    1.0600e-04    1.0700e-04    1.0700e-04    1.0600e-04    1.0800e-04    1.0700e-04    1.0700e-04    1.0800e-04    1.0700e-04    1.0900e-04    1.0900e-04    1.0700e-04    1.0700e-04    1.0800e-04    1.0900e-04    1.0800e-04    1.0800e-04    1.0700e-04    1.0900e-04    1.0700e-04    1.0900e-04    1.0800e-04    1.0900e-04    1.0700e-04    1.0600e-04    1.0700e-04    1.0800e-04    1.0800e-04    1.0600e-04    1.0700e-04    1.0700e-04    1.1100e-04    1.0700e-04    1.0700e-04    1.0800e-04    1.0600e-04    1.1200e-04    1.0600e-04    1.0600e-04    1.1000e-04    1.1400e-04    1.1700e-04    1.1700e-04    1.1500e-04    1.1500e-04    1.1500e-04    1.1500e-04    1.1600e-04    1.1500e-04    1.1500e-04    1.1400e-04    1.1600e-04    1.1600e-04    1.1500e-04    1.1500e-04    1.1400e-04    1.1500e-04    1.5500e-04    1.1900e-04    1.2400e-04    1.1700e-04    1.1700e-04    1.1600e-04    1.1500e-04    1.1600e-04    1.1500e-04    1.1600e-04    1.1700e-04    1.1600e-04    1.1500e-04    1.1400e-04    1.1500e-04    1.1600e-04    1.1300e-04    1.1100e-04    1.1500e-04    1.1300e-04    1.1100e-04    1.1300e-04    1.1000e-04    1.1200e-04    1.1100e-04    1.1200e-04    1.1300e-04    1.1100e-04    1.1200e-04    1.1200e-04    1.1100e-04    1.1400e-04    1.1200e-04    1.1200e-04    1.1100e-04    1.1300e-04    1.1400e-04    1.1200e-04    1.1100e-04    1.1200e-04    1.1200e-04    1.1200e-04    1.1200e-04    1.1300e-04    1.1100e-04    1.1100e-04    1.1300e-04    1.1200e-04    1.1100e-04    1.2000e-04    1.1900e-04    1.1900e-04    1.2100e-04    1.1900e-04    1.2000e-04    1.2000e-04    1.1900e-04    1.2100e-04    1.2000e-04    1.1800e-04    1.1900e-04    1.1900e-04    1.1800e-04    1.2000e-04    1.1700e-04    1.1800e-04    1.2100e-04    1.2000e-04    1.2000e-04    1.1900e-04    1.3200e-04    1.3000e-04    1.2100e-04    1.2200e-04    1.2000e-04    1.1900e-04    1.2000e-04    1.1800e-04    1.2000e-04    1.2000e-04    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2.0440e+12    2.0320e+12    2.0192e+12    2.0078e+12    1.9952e+12    1.9846e+12    1.9731e+12    1.9622e+12    1.9515e+12    4.4577e+12    4.4226e+12    4.3855e+12    4.3495e+12  
diff --git a/python_read_data/PDR_example.ipynb b/python_read_data/PDR_example.ipynb
index f06b58e..a1728aa 100644
--- a/python_read_data/PDR_example.ipynb
+++ b/python_read_data/PDR_example.ipynb
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -71,7 +71,7 @@
        "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>2023-02-13T10:29:02.428768</dc:date>\n",
+       "    <dc:date>2024-05-06T15:10:45.806780</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
@@ -108,10 +108,10 @@
        "      <defs>\n",
        "       <path d=\"M 0 0 \n",
        "L 0 -8 \n",
-       "\" id=\"m98243f1774\" style=\"stroke:#000000;\"/>\n",
+       "\" id=\"mc4f76a07ce\" style=\"stroke:#000000;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"126.855513\" xlink:href=\"#m98243f1774\" y=\"511.08\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"126.855513\" xlink:href=\"#mc4f76a07ce\" y=\"511.08\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_1\">\n",
@@ -194,7 +194,7 @@
        "    <g id=\"xtick_2\">\n",
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+   "execution_count": 6,
    "metadata": {},
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"296.198294\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_45\">\n",
        "     <g id=\"line2d_79\">\n",
        "      <g>\n",
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"322.400674\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_46\">\n",
        "     <g id=\"line2d_80\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"340.991558\" xlink:href=\"#m134ed57ca8\" y=\"85.399687\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"340.991558\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_47\">\n",
        "     <g id=\"line2d_81\">\n",
        "      <g>\n",
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.411768\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_48\">\n",
        "     <g id=\"line2d_82\">\n",
        "      <g>\n",
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"367.193937\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_49\">\n",
        "     <g id=\"line2d_83\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.155619\" xlink:href=\"#m134ed57ca8\" y=\"85.399687\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.155619\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_50\">\n",
        "     <g id=\"line2d_84\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"385.784821\" xlink:href=\"#m134ed57ca8\" y=\"85.399687\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"385.784821\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_51\">\n",
        "     <g id=\"line2d_85\">\n",
        "      <g>\n",
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"393.396316\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_52\">\n",
        "     <g id=\"line2d_86\">\n",
        "      <g>\n",
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"444.998294\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_53\">\n",
        "     <g id=\"line2d_87\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"471.200674\" xlink:href=\"#m134ed57ca8\" y=\"85.399687\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"471.200674\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_54\">\n",
        "     <g id=\"line2d_88\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"489.791558\" xlink:href=\"#m134ed57ca8\" y=\"85.399687\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"489.791558\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_55\">\n",
        "     <g id=\"line2d_89\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"504.211768\" xlink:href=\"#m134ed57ca8\" y=\"85.399687\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"504.211768\" xlink:href=\"#m1285bcd98c\" y=\"85.399687\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
@@ -13529,7 +13529,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p7b3588ae0d\">\n",
+       "  <clipPath id=\"p41d2077ae7\">\n",
        "   <rect height=\"298.98\" width=\"446.4\" x=\"62.155\" y=\"85.399687\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -13552,7 +13552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -13572,7 +13572,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -13595,7 +13595,7 @@
        "  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
        "   <cc:Work>\n",
        "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>2023-02-13T10:29:24.484314</dc:date>\n",
+       "    <dc:date>2024-05-06T15:11:25.354632</dc:date>\n",
        "    <dc:format>image/svg+xml</dc:format>\n",
        "    <dc:creator>\n",
        "     <cc:Agent>\n",
@@ -13626,7 +13626,7 @@
        "z\n",
        "\" style=\"fill:#ffffff;\"/>\n",
        "   </g>\n",
-       "   <image height=\"272\" id=\"imageb40bfd9cfa\" transform=\"scale(1 -1)translate(0 -272)\" width=\"290\" x=\"50\" xlink:href=\"data:image/png;base64,\n",
+       "   <image height=\"272\" id=\"image55920f67b5\" transform=\"scale(1 -1)translate(0 -272)\" width=\"290\" x=\"50\" xlink:href=\"data:image/png;base64,\n",
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y=\"-38\"/>\n",
        "   <g id=\"matplotlib.axis_1\">\n",
        "    <g id=\"xtick_1\">\n",
@@ -13634,10 +13634,10 @@
        "      <defs>\n",
        "       <path d=\"M 0 0 \n",
        "L 0 -8 \n",
-       "\" id=\"m1ced6be58c\" style=\"stroke:#000000;\"/>\n",
+       "\" id=\"m29ae941b7b\" style=\"stroke:#000000;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"146.57741\" xlink:href=\"#m1ced6be58c\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"146.57741\" xlink:href=\"#m29ae941b7b\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_1\">\n",
@@ -13714,7 +13714,7 @@
        "    <g id=\"xtick_2\">\n",
        "     <g id=\"line2d_2\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"244.812431\" xlink:href=\"#m1ced6be58c\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"244.812431\" xlink:href=\"#m29ae941b7b\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_2\">\n",
@@ -13732,171 +13732,171 @@
        "      <defs>\n",
        "       <path d=\"M 0 0 \n",
        "L 0 -4 \n",
-       "\" id=\"mb5eef2b2cf\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "\" id=\"ma711893253\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.914077\" xlink:href=\"#mb5eef2b2cf\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.914077\" xlink:href=\"#ma711893253\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_4\">\n",
        "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"95.212405\" xlink:href=\"#mb5eef2b2cf\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"95.212405\" xlink:href=\"#ma711893253\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.485764\" xlink:href=\"#mb5eef2b2cf\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.485764\" xlink:href=\"#ma711893253\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_6\">\n",
        "     <g id=\"line2d_6\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.005722\" xlink:href=\"#mb5eef2b2cf\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.005722\" xlink:href=\"#ma711893253\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_7\">\n",
        "     <g id=\"line2d_7\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"124.784093\" xlink:href=\"#mb5eef2b2cf\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"124.784093\" xlink:href=\"#ma711893253\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_8\">\n",
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        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_46\">\n",
        "     <g id=\"line2d_50\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.72348\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.72348\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_47\">\n",
        "     <g id=\"line2d_51\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.299999\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.299999\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_48\">\n",
        "     <g id=\"line2d_52\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"261.99684\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"261.99684\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_49\">\n",
        "     <g id=\"line2d_53\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"267.021809\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"267.021809\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_50\">\n",
        "     <g id=\"line2d_54\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"301.088485\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"301.088485\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_51\">\n",
        "     <g id=\"line2d_55\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"318.386813\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"318.386813\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_52\">\n",
        "     <g id=\"line2d_56\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.660173\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.660173\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_53\">\n",
        "     <g id=\"line2d_57\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"340.18013\" xlink:href=\"#m3e98b4835f\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"340.18013\" xlink:href=\"#m30d7922a9b\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
@@ -14459,7 +14459,7 @@
        "  </g>\n",
        "  <g id=\"axes_3\">\n",
        "   <g id=\"patch_11\">\n",
-       "    <path clip-path=\"url(#p894485ab38)\" d=\"M 370.616494 310.007812 \n",
+       "    <path clip-path=\"url(#p01471a8c2a)\" d=\"M 370.616494 310.007812 \n",
        "L 370.616494 308.946094 \n",
        "L 370.616494 39.269531 \n",
        "L 370.616494 38.207812 \n",
@@ -14470,14 +14470,14 @@
        "z\n",
        "\" style=\"fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;stroke-width:0.01;\"/>\n",
        "   </g>\n",
-       "   <image height=\"272\" id=\"imagef7c54a1850\" transform=\"scale(1 -1)translate(0 -272)\" width=\"14\" x=\"371\" xlink:href=\"data:image/png;base64,\n",
+       "   <image height=\"272\" id=\"image4184b6c0ba\" transform=\"scale(1 -1)translate(0 -272)\" width=\"14\" x=\"371\" xlink:href=\"data:image/png;base64,\n",
        "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\" y=\"-38\"/>\n",
        "   <g id=\"matplotlib.axis_4\"/>\n",
        "   <g id=\"matplotlib.axis_5\">\n",
        "    <g id=\"ytick_3\">\n",
        "     <g id=\"line2d_58\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"310.007812\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"310.007812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_11\">\n",
@@ -14491,7 +14491,7 @@
        "    <g id=\"ytick_4\">\n",
        "     <g id=\"line2d_59\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"269.312327\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"269.312327\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_12\">\n",
@@ -14533,7 +14533,7 @@
        "    <g id=\"ytick_5\">\n",
        "     <g id=\"line2d_60\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"240.438421\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"240.438421\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_13\">\n",
@@ -14547,7 +14547,7 @@
        "    <g id=\"ytick_6\">\n",
        "     <g id=\"line2d_61\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"218.04208\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"218.04208\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_14\">\n",
@@ -14561,7 +14561,7 @@
        "    <g id=\"ytick_7\">\n",
        "     <g id=\"line2d_62\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"199.742936\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"199.742936\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_15\">\n",
@@ -14575,7 +14575,7 @@
        "    <g id=\"ytick_8\">\n",
        "     <g id=\"line2d_63\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"170.86903\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"170.86903\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_16\">\n",
@@ -14612,7 +14612,7 @@
        "    <g id=\"ytick_9\">\n",
        "     <g id=\"line2d_64\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"148.472689\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"148.472689\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_17\">\n",
@@ -14626,7 +14626,7 @@
        "    <g id=\"ytick_10\">\n",
        "     <g id=\"line2d_65\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"78.903298\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"78.903298\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_18\">\n",
@@ -14641,7 +14641,7 @@
        "    <g id=\"ytick_11\">\n",
        "     <g id=\"line2d_66\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#md80a4d23dc\" y=\"38.207812\"/>\n",
+       "       <use style=\"stroke:#000000;\" x=\"385.11\" xlink:href=\"#mbeaaac3c5c\" y=\"38.207812\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_19\">\n",
@@ -14724,7 +14724,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p894485ab38\">\n",
+       "  <clipPath id=\"p01471a8c2a\">\n",
        "   <rect height=\"271.8\" width=\"14.493506\" x=\"370.616494\" y=\"38.207812\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
diff --git a/run/Makefile.in b/run/Makefile.in
index 8827e8b..4609816 100644
--- a/run/Makefile.in
+++ b/run/Makefile.in
@@ -7,7 +7,7 @@ sourcedir    = $(shell dirname $$PWD)/
 
 CPP      = g++
 #CFLAGS = -Wall -g3 -O0 -ggdb
-CFLAGS = -Wall -O3
+CFLAGS = -Wall -O3 -std=c++11
 LIBS     = -lm 
 
 INCLUDES = -I$(includedir) -I$(sourcedir)
diff --git a/run/run.py b/run/run.py
index f3a8e04..d3031d9 100755
--- a/run/run.py
+++ b/run/run.py
@@ -7,7 +7,7 @@
 
 #read KLM.in file
 
-cvode_dir  = "/usr/local/cvode-5.7.0"
+cvode_dir  = "/usr/local/cvode-6.2.0"
 input_file = "examples.in"
 dir_out = os.path.dirname(os.getcwd()) + "/"
 
diff --git a/sundial.h b/sundial.h
index 32137d2..273cf57 100644
--- a/sundial.h
+++ b/sundial.h
@@ -8,17 +8,11 @@
 #define SUNDIAL_H_
 
 #include <stdio.h>
-#include <nvector/nvector_serial.h> /* N_Vector type*/
-#include <sundials/sundials_dense.h> /* definitions DlsMat DENSE_ELEM */
 #include <cvode/cvode.h> /* CV_SUCCESS */
 #include <stdexcept> /*throw exceptions*/
 
-/*Access or assign N_Vector or DlsMat elements*/
-#define Ith(v,i)    NV_Ith_S(v,i-1)       /* Ith numbers components 1..NEQ */
-#define IJth(A,i,j) DENSE_ELEM(A,i-1,j-1) /* IJth numbers rows,cols 1..NEQ */
-
 /*check flags function for Sundial*/
-void CheckFlag(const void *flagvalue, const char *funcname, 
+void CheckFlag(const void *flagvalue, const char *funcname,
                const int opt);
 
 #endif /*SUNDIAL_H_*/