| The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ... npj computational materials 6 (1), 173, 2020 | 249 | 2020 |
| Machine learning-assisted discovery of solid Li-ion conducting materials AD Sendek, ED Cubuk, ER Antoniuk, G Cheon, Y Cui, EJ Reed Chemistry of Materials 31 (2), 342-352, 2018 | 234 | 2018 |
| Data mining for new two-and one-dimensional weakly bonded solids and lattice-commensurate heterostructures G Cheon, KAN Duerloo, AD Sendek, C Porter, Y Chen, EJ Reed Nano letters 17 (3), 1915-1923, 2017 | 228 | 2017 |
| Scaling deep learning for materials discovery A Merchant, S Batzner, SS Schoenholz, M Aykol, G Cheon, ED Cubuk Nature 624 (7990), 80-85, 2023 | 127 | 2023 |
| Elastic properties of bulk and low-dimensional materials using van der Waals density functional K Choudhary, G Cheon, E Reed, F Tavazza Physical Review B 98 (1), 014107, 2018 | 126 | 2018 |
| Quantifying the search for solid Li-ion electrolyte materials by anion: a data-driven perspective AD Sendek, G Cheon, M Pasta, EJ Reed The Journal of Physical Chemistry C 124 (15), 8067-8079, 2020 | 37 | 2020 |
| Revealing the spectrum of unknown layered materials with superhuman predictive abilities G Cheon, ED Cubuk, ER Antoniuk, L Blumberg, JE Goldberger, EJ Reed The journal of physical chemistry letters 9 (24), 6967-6972, 2018 | 36 | 2018 |
| Spectrum of exfoliable 1D van der Waals molecular wires and their electronic properties Y Zhu, DA Rehn, ER Antoniuk, G Cheon, R Freitas, A Krishnapriyan, ... ACS nano 15 (6), 9851-9859, 2021 | 23 | 2021 |
| Data-centric framework for crystal structure identification in atomistic simulations using machine learning HW Chung, R Freitas, G Cheon, EJ Reed Physical Review Materials 6 (4), 043801, 2022 | 16 | 2022 |
| The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design. npj Computational Materials 6 K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ARH Walker, ... ISSN, 2020 | 16 | 2020 |
| Crystal structure search with random relaxations using graph networks G Cheon, L Yang, K McCloskey, EJ Reed, ED Cubuk Preprint at https://arxiv. org/abs/2012.02920, 2020 | 14 | 2020 |
| Discovery of materials with extreme work functions by high-throughput density functional theory and machine learning P Schindler, ER Antoniuk, G Cheon, Y Zhu, EJ Reed arXiv e-prints, arXiv: 2011.10905, 2020 | 10 | 2020 |
| Machine learning-assisted discovery of many new solid li-ion conducting materials AD Sendek, ED Cubuk, ER Antoniuk, G Cheon, Y Cui, EJ Reed arXiv preprint arXiv:1808.02470, 2018 | 6 | 2018 |
| New assembly-free bulk layered inorganic vertical heterostructures with infrared and optical bandgaps ER Antoniuk, G Cheon, A Krishnapriyan, DA Rehn, Y Zhou, EJ Reed Nano letters 19 (1), 142-149, 2018 | 4 | 2018 |
| N, Sendek AD, Porter C, Chen Y and Reed EJ 2017 G Cheon, KA Duerloo Nano Lett 17, 1915 | 2 | 1915 |
| Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction SJ Yang, S Li, S Venugopalan, V Tshitoyan, M Aykol, A Merchant, ... arXiv preprint arXiv:2311.13778, 2023 | 1 | 2023 |
| Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions ER Antoniuk, G Cheon, G Wang, D Bernstein, W Cai, EJ Reed npj Computational Materials 9 (1), 155, 2023 | 1 | 2023 |
| Crystal Structure Search with Random Structure Relaxations Using Graph Networks ED Cubuk, EJ Reed, G Cheon, KJ McCloskey, L Yang, M Brenner | 1 | 2020 |
| 1D van der Waals Molecular Wires: Exfoliation Energies, Electronic Properties and Machine Learning Discovery Y Zhu, D Rehn, E Antoniuk, G Cheon, R Freitas, A Krishnapriyan, E Reed APS March Meeting Abstracts 2022, G47. 001, 2022 | | 2022 |
| Finding a Needle in a Haystack: Success stories of Data Mining and Machine Learning for Electronic Materials Selection G Cheon, ED Cubuk, E Antoniuk, L Blumberg, J Goldberger, E Reed 2021 International Symposium on VLSI Technology, Systems and Applications …, 2021 | | 2021 |
Evan R AntoniukLawrence Livermore National LaboratoryVerified email at llnl.gov
