Standout Papers

Scaling deep learning for materials discovery 2023 2026 2024516
  1. Scaling deep learning for materials discovery (2023)
    Amil Merchant, Simon Batzner et al. Nature

Immediate Impact

12 from Science/Nature 63 standout
Sub-graph 1 of 21

Citing Papers

Artificial intelligence and illusions of understanding in scientific research
2024 StandoutNature
Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
2024 Standout
1 intermediate paper

Works of Gowoon Cheon being referenced

Scaling deep learning for materials discovery
2023 StandoutNature
Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials
2018

Author Peers

Author Last Decade Papers Cites
Gowoon Cheon 835 424 66 113 11 1.1k
Miriam Brafman 585 314 79 79 3 852
Nathan J. Szymanski 711 339 63 48 34 1.0k
Kazuki Shitara 847 344 91 85 40 1.1k
Tianlu Zhao 642 244 53 77 8 1.0k
Philip Adler 846 241 86 54 9 1.2k
Saurabh Bajaj 1089 333 56 31 15 1.2k
Amil Merchant 600 213 68 44 5 884
Lance J. Nelson 1004 247 93 40 8 1.3k
Aurelio Mollo 835 233 86 53 7 1.3k
Arthur France‐Lanord 539 610 109 115 30 996

All Works

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Rankless by CCL
2026