Gowoon Cheon
Gowoon Cheon
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
1212017
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
722018
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
602018
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
152018
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ARH Walker, ...
npj Computational Materials 6 (1), 1-13, 2020
132020
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
122020
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
32018
JARVIS: An Integrated Infrastructure for Data-driven Materials Design
K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ARH Walker, ...
arXiv preprint arXiv:2007.01831, 2020
22020
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
22018
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, 2021
2021
Crystal Structure Search with Random Relaxations Using Graph Networks
G Cheon, L Yang, K McCloskey, EJ Reed, ED Cubuk
arXiv preprint arXiv:2012.02920, 2020
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 preprint arXiv:2011.10905, 2020
2020
A data-centric framework for crystal structure identification in atomistic simulations using machine learning
H Chung, R Freitas, G Cheon, EJ Reed
arXiv preprint arXiv:2010.04815, 2020
2020
A spectrum of exfoliable 1D van der Waals materials and their electronic properties
Y Zhu, D Rehn, E Antoniuk, G Cheon, R Moura Freitas, A Krishnapriyan, ...
Bulletin of the American Physical Society 65, 2020
2020
Crystal Structure Search with Random Structure Relaxations Using Graph Networks
ED Cubuk, EJ Reed, G Cheon, KJ McCloskey, L Yang, M Brenner
2020
Revealing the Full Spectrum Layered Materials with Super-Human Predictive Abilities
G Cheon, E Cubuk, E Antoniuk, J Goldberger, E Reed
APS March Meeting Abstracts 2019, L13. 004, 2019
2019
New Assembly-Free Bulk Layered Heterostructures: Electronic, Mechanical, and Optical Properties
E Antoniuk, G Cheon, A Krishnapriyan, D Rehn, Y Zhou, E Reed
APS March Meeting Abstracts 2018, E36. 007, 2018
2018
Discovering Physical Limits of Battery Materials with Physics-based Machine Learning
A Sendek, E Cubuk, Q Yang, G Cheon, KAN Duerloo, Y Cui, E Reed
APS March Meeting Abstracts 2018, B20. 010, 2018
2018
Data-driven Discovery of New Two-and One-dimensional Materials and Lattice-commensurate Heterostructures
G Cheon, KAN Duerloo, A Sendek, C Porter, Y Chen, E Reed, GC Team
APS March Meeting Abstracts 2018, E36. 008, 2018
2018
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
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Articles 1–20