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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Pol Benítez Colominas - PhD student</title>
<link rel="stylesheet" href="styles.css">
<link href='https://fonts.googleapis.com/css?family=DM Sans' rel='stylesheet'>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
</head>
<body>
<header>
<h1>Pol Benítez Colominas</h1>
<h3>PhD student at UPC</h3>
<nav class="navheader">
<ul>
<li><a href="index.html">About</a></li>
<li><a href="research.html">Research</a></li>
<li><a href="publications.html">Publications</a></li>
<li><a href="software.html">Software</a></li>
<li><a href="cv.html">CV</a></li>
</ul>
</nav>
</header>
<main>
<div class="container" style="vertical-align: top;">
<h2><center>About</center></h2>
<p>I am a PhD student in Computational Physics at UPC, working under the supervision of Prof. Claudio Cazorla and Prof. Edgardo Saucedo. My research focuses on computational condensed matter physics, utilizing first-principles methods, such as Density Functional Theory (DFT) and Molecular Dynamics simulations, to explore how anharmonic phonon modes affect the optoelectronic properties of crystalline solid-state systems. This work is crucial not only for advancing fundamental physical science but also for developing new materials for next-generation energy and optoelectronic technologies. Additionally, I am investigating related topics, such as using Crystal Graph Convolutional Neural Networks for predicting material properties. <br></p>
<img src="images/pol-photo.jpg" alt="Your Image" width=250 class="image-image">
<h3>Contact</h3>
<nav class="navheader">
<ul>
<li><a href="https://scholar.google.com/citations?user=Hagao9QAAAAJ&hl=en" style="color:black;">Google Scholar</a></li>
<li><a href="https://github.com/polbeni" style="color:black;">GitHub <i style="font-size:24px" class="fa"></i></a></li>
<li><a href="https://www.linkedin.com/in/pol-ben%C3%ADtez-colominas-3b3076235/" style="color:black;">LinkedIn <i style="font-size:24px" class="fa"></i></a></li>
<li><a href="https://www.researchgate.net/profile/Pol-Benitez-Colominas" style="color:black;">ResearchGate</a></li>
<li><a href="https://orcid.org/0009-0005-4910-7241" style="color:black;">ORCID</a></li>
<li><a href = "mailto: [email protected]" style="color:black;">[email protected]</a></li>
</ul>
</nav>
<h3>Skills and software knowledge</h3>
</div>
<div class="container2col">
<div class="column">
<h4>Programming langauges:</h4>
<nav>
<ul>
<li>Python</li>
<li>Fortran</li>
</ul>
</nav>
<h4>Software:</h4>
<nav>
<ul>
<li>VASP</li>
<li>Quantum ESPRESSO</li>
</ul>
</nav>
</div>
<div class="column">
<h4>Skills:</h4>
<nav>
<ul>
<li>Density Functional Theory</li>
<li>Phonon calculations</li>
<li>Molecular Dynamics simulations</li>
<li>Anharmonic materials</li>
<li>Semiconductor materials</li>
<li>Optoelectronic properties</li>
<li>Graph Neural Networks</li>
<li>Machine learning</li>
<li>Data analysis</li>
<li>Numerical simulation</li>
<li>Data visualization</li>
</ul>
</nav>
</div>
</div>
</main>
<footer>
<p>© 2023-2024 Pol Benítez Colominas. All rights reserved.</p>
</footer>
</body>
</html>