Standout Papers

Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with... 2019 2026 2021 2023 388
  1. Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference (2019)
    Ryosuke Jinnouchi, Jonathan Lahnsteiner et al. Physical Review Letters

Immediate Impact

2 by Nobel laureates 8 from Science/Nature 68 standout
Sub-graph 1 of 22

Citing Papers

Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions
2024 Standout
Chemical Flexibility of Atomically Precise Metal Clusters
2024 Standout
4 intermediate papers

Works of Jonathan Lahnsteiner being referenced

Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference
2019 Standout
Assessing Density Functionals Using Many Body Theory for Hybrid Perovskites
2017

Author Peers

Author Last Decade Papers Cites
Jonathan Lahnsteiner 404 602 62 123 11 704
Jonathon S. Bechtel 553 568 101 76 11 701
Fernando Gargiulo 211 561 35 167 9 629
Hagai Eshet 301 609 36 220 15 789
Yingdi Jin 355 370 108 49 19 714
Bryce D. Devine 176 498 46 132 13 672
Zezhu Zeng 218 710 84 106 27 766
David Waroquiers 293 699 256 140 17 848
Marc Amkreutz 242 467 79 228 24 798
Hongqing Shi 169 512 54 141 23 639
Alexander Willand 134 581 29 237 6 797

All Works

Loading papers...

Rankless by CCL
2026