| End-to-end AI framework for interpretable prediction of molecular and crystal properties H Park, R Zhu, EA Huerta, S Chaudhuri, E Tajkhorshid, D Cooper Machine Learning: Science and Technology 4 (2), 025036, 2023 | 4 | 2023 |
| A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture H Park, X Yan, R Zhu, EA Huerta, S Chaudhuri, D Cooper, I Foster, ... Communications Chemistry 7 (1), 21, 2024 | 1 | 2024 |
| Prediction of diblock copolymer morphology via machine learning H Park, B Yu, J Park, G Sun, E Tajkhorshid, JJ de Pablo, L Schneider arXiv preprint arXiv:2308.16886, 2023 | 1 | 2023 |
| Ghp-mofassemble: Diffusion modeling, high throughput screening, and molecular dynamics for rational discovery of novel metal-organic frameworks for carbon capture at scale H Park, X Yan, R Zhu, EA Huerta, S Chaudhuri, D Cooper, I Foster, ... arXiv preprint arXiv:2306.08695, 2023 | 1 | 2023 |
| End-to-end AI framework for hyperparameter optimization, model training, and interpretable inference for molecules and crystals H Park, R Zhu, EA Huerta, S Chaudhuri, E Tajkhorshid, D Cooper arXiv e-prints, arXiv: 2212.11317, 2022 | 1 | 2022 |
| Topological Learning Approach to Characterizing Biological Membranes AS Arango, H Park, E Tajkhorshid Biorxiv, 2023 | | 2023 |
| APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics H Park, P Patel, R Haas, EA Huerta arXiv preprint arXiv:2308.07954, 2023 | | 2023 |
| GHP-MOFassemble: Diffusion modeling, high throughput screening, and molecular dynamics for rational discovery of novel metal-organic frameworks for carbon capture at scale E Huerta, H Park, X Yan, R Zhu, S Chaudhuri, D Cooper, I Foster, ... | | 2023 |
| Topological learning approach to characterize lipids AS Arango, H Park, E Tajkhorshid Biophysical journal 122 (3), 22a, 2023 | | 2023 |
| Machine learning guided sampling of protein transition pathways H Park, E Tajkhorshid Biophysical journal 122 (3), 282a, 2023 | | 2023 |
| Novel deep learning energy-based model to predict protein dynamics H Park, E Tajkhorshid Biophysical Journal 121 (3), 444a-445a, 2022 | | 2022 |
| Probing Druggability of the Zika Virus Envelope Proteins using a Novel Computational Approach H Park, E Tajkhorshid Biophysical Journal 120 (3), 176a, 2021 | | 2021 |
Emad Tajkhorshid, PhDProfessor of Biochemistry and Biophysics, University of IllinoisVerified email at illinois.edu
