5 citations · 6 across the 2 of their papers we have counts for
2 papers
cond-mat.stat-mech2025★ 1 cited
Exponentially Tilted Thermodynamic Maps (expTM): Predicting Phase Transitions Across Temperature, Pressure, and Chemical Potential
Suemin Lee, Ruiyu Wang, Lukas Herron +1
Predicting and characterizing phase transitions is crucial for understanding generic physical phenomena such as crystallization, protein folding and others. However, directly obser…
cond-mat.stat-mech2024★ 5 cited
Generative artificial intelligence for computational chemistry: a roadmap to predicting emergent phenomena
Pratyush Tiwary, Lukas Herron, Richard John +3
The recent surge in Generative Artificial Intelligence (AI) has introduced exciting possibilities for computational chemistry. Generative AI methods have made significant progress…