Computational Physics · Physics
Towards empirical force fields that match experimental observables
Thorben Fröhlking, Mattia Bernetti, Nicola Calonaci, Giovanni Bussi
2020-06-19
Chemical Physics · Physics
High-Dimensional Potential Energy Surfaces for Molecular Simulations
Oliver T. Unke, Debasish Koner, Sarbani Patra, Silvan Käser +1
2020-07-08
Materials Science · Physics
High Pressure and Temperature Neural Network Reactive Force Field for Energetic Materials
Brenden W. Hamilton, Pilsun Yoo, Michael N. Sakano, Md Mahbubul Islam +1
2023-04-26
Computational Physics · Physics
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems
Paraskevi Gkeka, Gabriel Stoltz, Amir Barati Farimani, Zineb Belkacemi +13
2020-04-16
Chemical Physics · Physics
Studying chemical reactions in biological systems with MBN Explorer: implementation of molecular mechanics with dynamical topology
Gennady B. Sushko, Ilia A. Solov'yov, Alexey V. Verkhovtsev, Sergey N. Volkov +1
2016-10-07
Biological Physics · Physics
Polarisable force fields: What do they add in biomolecular simulations?
V. S. Sandeep Inakollu, Daan P. Geerke, Christopher N. Rowley, Haibo Yu
2020-02-11
Chemical Physics · Physics
Generating High-Precision Force Fields for Molecular Dynamics Simulations to Study Chemical Reaction Mechanisms using Molecular Configuration Transformer
Sihao Yuan, Xu Han, Jun Zhang, Zhaoxin Xie +4
2024-04-12
Machine Learning · Computer Science
Approximate Latent Force Model Inference
Jacob D. Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió
2022-01-25
Chemical Physics · Physics
Quantum-Accurate Conformational Stabilities and Vibrational Dynamics in Molecules and Proteins with Machine-Learned Force Fields
Sergio Suárez-Dou, Miguel Gallegos, Kyunghoon Han, Florian N. Brünig +2
2026-05-25
Chemical Physics · Physics
Atomistic simulations of electrolyte solutions and hydrogels with explicit solvent models
Jonathan Walter, Stephan Deublein, Steffen Reiser, Martin Horsch +2
2011-07-26
Materials Science · Physics
Machine learning force fields: Construction, validation, and outlook
Venkatesh Botu, Rohit Batra, James Chapman, Rampi Ramprasad
2016-11-01
Chemical Physics · Physics
Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond
Kenichiro Takaba, Iván Pulido, Pavan Kumar Behara, Chapin E. Cavender +10
2024-06-28
Biomolecules · Quantitative Biology
Structure-Based Experimental Datasets for Benchmarking Protein Simulation Force Fields
Chapin E. Cavender, David A. Case, Julian C. -H. Chen, Lillian T. Chong +10
2025-03-27
Chemical Physics · Physics
Expansive Quantum Mechanical Exploration of Chemical Reaction Paths
Alberto Baiardi, Stephanie A. Grimmel, Miguel Steiner, Paul L. Türtscher +3
2022-01-14
Machine Learning · Computer Science
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zuegner +5
2023-09-25
Chemical Physics · Physics
Fully First-Principles Surface Spectroscopy with Machine Learning
Yair Litman, Jinggang Lan, Yuki Nagata, David M. Wilkins
2023-09-27
Computational Physics · Physics
Development of models and methods for the molecular simulation of large systems and molecules
Jonathan Walter, Thorsten Merker, Martin Horsch, Jadran Vrabec +1
2010-05-25
Chemical Physics · Physics
How Atoms Interact Within Molecules
Adil Kabylda, Malte Esders, Matteo Gori, Stefan Chmiela +2
2026-05-29
Machine Learning · Computer Science
DEQuify your force field: More efficient simulations using deep equilibrium models
Andreas Burger, Luca Thiede, Alán Aspuru-Guzik, Nandita Vijaykumar
2025-09-11