Immediate Impact

3 standout
Sub-graph 1 of 2

Citing Papers

Exploring the frontiers of condensed-phase chemistry with a general reactive machine learning potential
2024 Standout
The Challenges of Machine Learning: A Critical Review
2024 Standout
2 intermediate papers

Works of Kai Töpfer being referenced

Neural network potentials for chemistry: concepts, applications and prospects
2022
Double proton transfer in hydrated formic acid dimer: Interplay of spatial symmetry and solvent-generated force on reactivity
2022

Author Peers

Author Last Decade Papers Cites
Kai Töpfer 49 112 27 52 18 198
Luis Itza Vazquez-Salazar 38 107 27 61 9 220
Ryan Pederson 106 161 14 64 12 261
Xingyi Guan 49 201 21 113 12 288
Ranita Pal 35 100 23 52 26 280
Viktor Zaverkin 80 221 58 119 13 285
Cory Hargus 76 169 12 62 9 293
Esben L. Kolsbjerg 60 232 9 60 10 297
Jessica Freeze 95 134 5 47 7 282
Xiaohui Wang 59 65 26 21 25 271
Colleen Bertoni 114 80 41 22 10 240

All Works

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Rankless by CCL
2026