From 9c51a16d9474b9e797a825bf754a9302c101130d Mon Sep 17 00:00:00 2001 From: Alex Date: Wed, 13 Dec 2023 16:08:00 -0600 Subject: [PATCH] fix --- slides/crystal-gfn-ai4mat23.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/slides/crystal-gfn-ai4mat23.md b/slides/crystal-gfn-ai4mat23.md index cfd2f171..9307b396 100644 --- a/slides/crystal-gfn-ai4mat23.md +++ b/slides/crystal-gfn-ai4mat23.md @@ -143,7 +143,7 @@ Instead of optimising the atom positions by learning from a small data set, we d * Provided we have access to a predictive model of a material property, we can .highlight1[flexibly generate materials with desirable properties]. -- -* We can .highlight1[flexibly sample materials with specific characteristics, such as composition or space group. +* We can .highlight1[flexibly sample materials with specific characteristics, such as composition or space group]. .references[ Hernandez-Garcia, Saxena et al. [Multi-fidelity active learning with GFlowNets](https://arxiv.org/abs/2306.11715). arXiv 2306.11715, 2023 (RealML workshop at NeurIPS).