A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Mesoscopic Simulation of the Two-Component System of Coupled Sine-Gordon Equations with Lattice Boltzmann Method. [PDF]
Entropy (Basel), 2019 Li D, Lai H, Lin C.
europepmc +1 more source
Effects of Truncation Error of Derivative Approximation for Two-Phase Lattice Boltzmann Method
, 2007 Takeshi SETA, Kenichi Okui
openalex +2 more sources
Advanced Intelligent Discovery, EarlyView.This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Liquid membrane catalytic model of hydrolyzing cellulose into 5-hydroxymethylfurfural based on the lattice Boltzmann method. [PDF]
RSC Adv, 2019 Mei Q +5 more
europepmc +1 more source
A hydrothermal model for unsaturated frozen rocks based on lattice Boltzmann method
Wang Zheng +3 more
openalex +1 more source
Solution of the Tzitzeica-Dodd-Bullough equation using lattice-Boltzmann and the tanh-coth methods
, 2017 F. Fonseca
openalex +1 more source
Rotorcraft blade-vortex interaction noise prediction using the Lattice-Boltzmann method
Aerospace Science and Technology, 2019 G. Romani, D. Casalino
semanticscholar +1 more source
Modelling viscoacoustic wave propagation with the lattice Boltzmann method. [PDF]
Sci Rep, 2017 Xia M +6 more
europepmc +1 more source