Standout Papers

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulatio... 2022 2026 2023 2024210
  1. GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations (2022)
    Zheyong Fan, Yanzhou Wang et al. The Journal of Chemical Physics

Immediate Impact

4 standout
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Citing Papers

Review of progress in calculation and simulation of high-temperature oxidation
2024 Standout
Programmable multi-physical mechanics of mechanical metamaterials
2023 Standout
2 intermediate papers

Works of Eric Lindgren being referenced

calorine: A Python package for constructing andsampling neuroevolution potential models
2024
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
2022 Standout

Author Peers

Author Last Decade Papers Cites
Eric Lindgren 214 11 3 54 52 7 262
Jiahui Liu 211 7 3 33 52 8 240
Junjie Wang 270 14 2 48 50 10 334
Samad Hajinazar 280 6 53 61 14 323
Denghui Lu 196 38 53 36 11 317
Nianlong Zou 257 14 1 115 67 11 331
Maxwell Hutchinson 245 8 34 58 6 310
Berk Onat 250 20 51 62 8 304
Fabian L. Thiemann 201 27 64 61 8 284
Georg Job 50 13 24 29 6 213
Eric Schwenker 259 2 1 26 91 10 313

All Works

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2026