Navigating energy landscapes for materials discovery: Integrating modeling, simulation, and machine learning

S Mannan, V Bihani, NMA Krishnan… - Materials Genome …, 2024 - Wiley Online Library
The energy landscape represents a high‐dimensional mapping of the configurational states
of an atomic system with their respective energies. Under isobaric conditions, enthalpy …

Detailed Reaction Kinetics for Hydrocarbon Fuels: The Development and Application of the ReaxFFCHO-S22 Force Field for C/H/O Systems with Enhanced Accuracy

Q Wang, Q He, B Xiao, D Zhai, Y Shen… - The Journal of …, 2024 - ACS Publications
Efficient and accurate reactive force fields (eg, ReaxFF) are pivotal for large-scale atomistic
simulations to comprehend microscopic combustion processes. ReaxFF has been …

[PDF][PDF] TopSearch: a Python package for topographical analysis of machine learning models and physical systems

L Dicks, EO Pyzer-Knapp - Journal of Open Source Software, 2024 - joss.theoj.org
Machine learning (ML) is now ubiquitous in all scientific fields, but there remains a
significant challenge to understanding and explaining model performance (Angelov et al …