Standout Papers

Machine learning for molecular and materials science 2018 2026 2020 2023 2.8k
  1. Machine learning for molecular and materials science (2018)
    Keith T. Butler, Daniel W. Davies et al. Nature

Immediate Impact

3 by Nobel laureates 19 from Science/Nature 68 standout
Sub-graph 1 of 22

Citing Papers

Machine Learning in Polymer Research
2025 Standout
Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
30 intermediate papers

Works of Hugh Cartwright being referenced

Machine learning for molecular and materials science
2018 StandoutNature
A neural network approach to prediction of glass transition temperature of polymers
2007

Author Peers

Author Last Decade Papers Cites
Hugh Cartwright 593 236 238 2140 682 45 3.7k
Daniel W. Davies 322 414 186 2441 662 48 3.6k
Rohit Batra 453 249 167 2989 749 53 4.3k
Jiequn Han 392 577 443 2269 536 34 4.6k
Rafael Gómez‐Bombarelli 1040 211 214 2268 1260 118 4.7k
Risi Kondor 786 605 633 3474 1160 28 4.8k
Benjamín Sánchez-Lengeling 970 136 257 2555 1603 26 4.8k
Chiho Kim 239 223 217 2962 849 63 4.3k
Handong Wang 942 878 117 2992 549 118 4.6k
Teodoro Laino 1155 523 279 1990 1107 89 3.9k
Nongnuch Artrith 290 402 97 2396 558 39 3.2k

All Works

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Rankless by CCL
2026