Standout Papers

Machine learning for interatomic potential models 2020 2026 2022 2024256
  1. Machine learning for interatomic potential models (2020)
    Tim Mueller, Alberto Hernández et al. The Journal of Chemical Physics

Immediate Impact

3 from Science/Nature 60 standout
Sub-graph 1 of 22

Citing Papers

Materials design for hypersonics
2024 Standout
Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions
2024 Standout
2 intermediate papers

Works of Alberto Hernández being referenced

Reactive laser synthesis of ultra-high-temperature ceramics HfC, ZrC, TiC, HfN, ZrN, and TiN for additive manufacturing
2022
Machine learning for interatomic potential models
2020 Standout

Author Peers

Author Last Decade Papers Cites
Alberto Hernández 44 76 88 282 238 22 677
Chunyu Li 278 51 353 377 157 27 811
Jin-Ho Ahn 59 56 124 506 180 38 705
Georg Ganzenmüller 177 25 96 250 167 29 647
Joanne Budzien 86 29 66 294 123 22 800
Teng Long 16 11 129 289 290 34 725
Yuhang Yin 31 44 106 192 165 63 583
Julie Hamilton 97 20 134 343 243 21 781
Kaiyi Zhang 58 21 84 182 414 38 692
H. Fujita 19 36 49 208 159 39 622
Tanya L. Chantawansri 85 16 60 358 105 26 685

All Works

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Rankless by CCL
2026