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Elton Pan
Elton Pan
PhD Candidate in Materials Science and Engineering, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Constrained model-free reinforcement learning for process optimization
E Pan, P Petsagkourakis, M Mowbray, D Zhang, EA del Rio-Chanona
Computers & Chemical Engineering 154, 107462, 2021
362021
Interpretable machine learning enabled inorganic reaction classification and synthesis condition prediction
C Karpovich, E Pan, Z Jensen, E Olivetti
Chemistry of Materials 35 (3), 1062-1079, 2023
82023
Deep Reinforcement Learning for Inverse Inorganic Materials Design
E Pan*, C Karpovich*, E Olivetti
NeurIPS AI for Accelerated Materials Design, 2022
62022
Constrained Q-learning for Batch Process Optimization
E Pan, P Petsagkourakis, M Mowbray, D Zhang, A del Rio-Chanona
IFAC Symposium on Advanced Control of Chemical Processes, 2021
42021
MTENCODER: A Multi-task Pretrained Transformer Encoder for Materials Representation Learning
T Prein*, E Pan*, T Doerr, E Olivetti, J Rupp
NeurIPS AI for Accelerated Materials Design, 2023
12023
ZeoSyn: A Comprehensive Zeolite Synthesis Dataset Enabling Machine-Learning Rationalization of Hydrothermal Parameters
E Pan, S Kwon, Z Jensen, M Xie, R Gómez-Bombarelli, M Moliner, ...
ACS Central Science 10 (3), 729–743, 2024
2024
Explaining Zeolite Synthesis-Structure Relationships using Aggregated SHAP Analysis
E Pan, S Kwon, Z Jensen, M Xie, R Gomez-Bombarelli, M Moliner, ...
ICLR Tackling Climate Change with Machine Learning, 2024
2024
Rationalization of Synthesis-Structure Relationships of Nanoporous Materials using Aggregated SHAP Analysis
E Pan, S Kwon, Z Jensen, M Xie, R Gomez-Bombarelli, M Moliner, ...
AAAI XAI4Sci Proceedings, 2024
2024
Constrained Q-Learning for Batch Process Optimization
E Pan, P Petsagkourakis, M Mowbray, D Zhang, A del Rio-Chanona
NeurIPS Real-World Reinforcement Learning, 2020
2020
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Articles 1–9