INSPIRED: Inelastic neutron scattering prediction for instantaneous results and experimental design
-
Published:2024-11
Issue:
Volume:304
Page:109288
-
ISSN:0010-4655
-
Container-title:Computer Physics Communications
-
language:en
-
Short-container-title:Computer Physics Communications
Author:
Han Bowen,
Savici Andrei T.,
Li Mingda,
Cheng YongqiangORCID
Reference22 articles.
1. High-throughput density-functional perturbation theory phonons for inorganic materials;Petretto;Sci. Data,2018
2. Direct prediction of phonon density of states with Euclidean neural networks;Chen;Adv. Sci.,2021
3. Simulation of inelastic neutron scattering spectra using oclimax;Cheng;J. Chem. Theory Comput.,2019