Stefano Martiniani

A practical guide to machine learning interatomic potentials – Status and future

Ryan Jacobs, Dane Morgan, Siamak Attarian et al. · Current Opinion in Solid State and Materials Science · 2025 · 105 citations · Full text

Engineering, Machine Learning, Data Science +5

Energy landscapes for machine learning

Andrew J. Ballard, Ritankar Das, Stefano Martiniani et al. · Physical Chemistry Chemical Physics · 2017 · 102 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

Quantifying Hidden Order out of Equilibrium

Stefano Martiniani, P. M. Chaikin, Dov Levine · Physical Review X · 2019 · 80 citations · Full text

Phase Transitions, Dynamic Equilibrium, Engineering +16

The Mechanism of Iodine Reduction by TiO₂ Electrons and the Kinetics of Recombination in Dye-Sensitized Solar Cells

Caryl E. Richards, Assaf Y. Anderson, Stefano Martiniani et al. · The Journal of Physical Chemistry Letters · 2012 · 68 citations

Materials Science, Engineering, Photochemistry +15

Model-Free Measurement of Local Entropy Production and Extractable Work in Active Matter

Sunghan Ro, Buming Guo, Aaron Shih et al. · Physical Review Letters · 2022 · 64 citations · Full text