Results 191 to 200 of about 16,460 (311)

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, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Variation in the thickness of a fluid interface due to internal wave propagation:a lattice Boltzmann simulation [PDF]

, 2004
Cosgrove, J. A ., Hann, D. B., Buick, James   +2 more
core   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

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

A Lattice Boltzmann Thermal Model for Predicting Melt Pool Geometry in Selective Laser Melting of AlSi10Mg and 316L Stainless Steel. [PDF]

Materials (Basel)
Guzmán-Nogales R, Reyes-Osorio LA, Hernández-Muñoz GM, Elías-Zúñiga A, López-Botello OE, Garza-Rodríguez C, Zambrano-Robledo PC.   +6 more
europepmc   +1 more source

Lattice Boltzmann simulation of power-law fluid flow in the mixing section of a single-screw extruder [PDF]

, 2009
Buick, James
core   +1 more source

A lattice Boltzmann formulation to the analysis of radiative heat transfer problems in a participating medium [PDF]

, 2010
Pietro Asinari, Mishra, S.C., Asinari, Pietro, Borchiellini, Romano, S. C. MISHRA, Subhash C. Mishra, Romano Borchiellini   +6 more
core   +1 more source

Tuning the Magnetic Phase Transitions in TbMn2‐xTixSi2 (x = 0–0.3)

Advanced Physics Research, EarlyView.
ABSTRACT Magnetocaloric materials receive considerable attention as promising candidates for next‐generation energy‐efficient and environmentally benign solid‐state refrigeration technologies. These materials exhibit the magnetocaloric effect (MCE), whereby heat is absorbed or released upon the application or removal of a magnetic field. In this study,
E. M. H. Arif, Wayne D Hutchison, ChinWei Wang, Jianli Wang, Zhi Li, Zhenxiang Cheng   +5 more
wiley   +1 more source

Correction: Research on multi-physical field coupling modeling and multi-condition dynamic load capacity evaluation of oil-immersed transformers. [PDF]

Sci Rep
Zhu H, Xiaohang R, Guobo Y, Chunlei Y, Xiaoqian B.   +4 more
europepmc   +1 more source

Surface Charges Guided Quasi‐TEM‐mode Microwave Propagation along Dielectric Nanowire

Advanced Physics Research, EarlyView.
According to Maxwell's equations, a single‐conductor transmission line cannot allow TEM‐mode electromagnetic wave propagation, however, this is based upon the assumption that dielectric material is isolated from the environment. In practice, surface electrostatic charges widely existed in nano‐materials with large surface‐to‐volume ratio.
BoYan Xu, Kaibo Zhang, Haojie Gao, Zhiyuan Gao, Kai Wang, Lihuan Zhao, Qi Yang, Bifeng Cui   +7 more
wiley   +1 more source

Simulation of Mass Transport and Phase Transition through Anodic Alumina Membranes Using a Lattice Boltzmann Method. [PDF]

Langmuir
Sodagar-Abardeh J, Loimer T.
europepmc   +1 more source