| Open catalyst 2020 (OC20) dataset and community challenges L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ... Acs Catalysis 11 (10), 6059-6072, 2021 | 467 | 2021 |
| Convolutional neural network of atomic surface structures to predict binding energies for high-throughput screening of catalysts S Back, J Yoon, N Tian, W Zhong, K Tran, ZW Ulissi The journal of physical chemistry letters 10 (15), 4401-4408, 2019 | 207 | 2019 |
| Methods for comparing uncertainty quantifications for material property predictions K Tran, W Neiswanger, J Yoon, Q Zhang, E Xing, ZW Ulissi Machine Learning: Science and Technology 1 (2), 025006, 2020 | 185 | 2020 |
| An introduction to electrocatalyst design using machine learning for renewable energy storage CL Zitnick, L Chanussot, A Das, S Goyal, J Heras-Domingo, C Ho, W Hu, ... arXiv preprint arXiv:2010.09435, 2020 | 83 | 2020 |
| Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy J Yoon, Z Cao, RK Raju, Y Wang, R Burnley, AJ Gellman, AB Farimani, ... Machine Learning: Science and Technology 2 (4), 045018, 2021 | 25 | 2021 |
| Differentiable optimization for the prediction of ground state structures (DOGSS) J Yoon, ZW Ulissi Physical Review Letters 125 (17), 173001, 2020 | 12 | 2020 |
| Control of model catalytic conversion reaction over Pt nanoparticle supported mesoporous BEA zeolite catalysts K Na, J Yoon, GA Somorjai Catalysis Today 265, 225-230, 2016 | 7 | 2016 |
| Capturing structural transitions in surfactant adsorption isotherms at solid/solution interfaces J Yoon, ZW Ulissi Langmuir 36 (3), 819-826, 2019 | 4 | 2019 |
| The Open Catalyst 2020 (OC20) Dataset and Community Challenges. arXiv e-prints 2020 L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ... arXiv preprint arXiv:2010.09990, 2010 | 3 | 2010 |
| Deep Learning Methods for Catalyst Surface and Interface Structure Analysis J Yoon Carnegie Mellon University, 2022 | | 2022 |
| Open Catalyst Project: Advancements and Challenges in Building a Flexible Machine Learning Potential M Shuaibi, L Chanussot, S Goyal, T Lavril, A Das, M Riviere, K Tran, ... 2021 AIChE Annual Meeting, 2021 | | 2021 |
| The Open Catalyst Project Dataset L Chanussot, A Das, J Heras-Domingo, S Goyal, C Ho, T Lavril, ... 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Thermodynamic Techniques to Capture Non-Ideal Surfactant Assembly at Hard Nanoscale Interfaces J Yoon, Z Ulissi 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Financial Assets Optimization with Reinforcement Learning Inference J Yoon, M Shuaibi, M Liu | | 2019 |
| Capturing Non-Ideal Surfactant/Nanoparticle Interfacial Structure with Variable Coverage Molecular Simulations J Yoon, Z Ulissi 2018 AIChE Annual Meeting, 2018 | | 2018 |
| Convolutional Neural Network for Atomic Structures J Yoon, N Zhan, M Liu | | |
| Identifying Duplicate Questions using Siamese LSTM Architecture J Yoon, N Zhan | | |
| CIFAR100 Convolutional Model Based Classification Benchmark A Balaji, Y Wu, J Yoon | | |
Zachary W. UlissiMeta Fundamental AI Research, Adjunct Professor CMU ChemE在 meta.com 的电子邮件经过验证
