Publication

Atomistic modeling of the solid-liquid interface of metals and alloys

Related publications (265)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Atomistic modeling of the solid-liquid interface of metals and alloys

Graph Chatbot

Chat with Graph Search

3D Ordering at the Liquid-Solid Polar Interface of Nanowires

Unfolding the prospects of computational (bio)materials modeling

Prediction of aqueous free energies of solvation using coupled QM and MM explicit solvent simulations

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Iterative Unbiasing of Quasi-Equilibrium Sampling

Quantum yield and brightness

A mechanistic model for the growth of cylindrical debris particles in the presence of adhesion

Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic Chemistry

Accurate Description of Nuclear Quantum Effects with High-Order Perturbed Path Integrals (HOPPI)

3D Ordering at the Liquid-Solid Polar Interface of Nanowires

Unfolding the prospects of computational (bio)materials modeling

Prediction of aqueous free energies of solvation using coupled QM and MM explicit solvent simulations

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

A mechanistic model for the growth of cylindrical debris particles in the presence of adhesion

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems

Quantum yield and brightness

Iterative Unbiasing of Quasi-Equilibrium Sampling

Accurate Description of Nuclear Quantum Effects with High-Order Perturbed Path Integrals (HOPPI)

Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic Chemistry