Results 191 to 200 of about 6,149 (286)
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Solving Coupled Tensor Equation $\mathcal{A} \ltimes \mathcal{X} =\mathcal{B}, \ \mathcal{X}\ltimes \mathcal{C}=\mathcal{D}$ using Semi-Tensor Products in the t-product [PDF]
Mansi Wankhede, Ranjan Kumar Das
openalex +2 more sources
Computational and Experimental Modeling of Interfaces and Joints in Advanced Materials. [PDF]
Grzejda R.
europepmc +1 more source
A Parallel CRC Circuit Design Method Based on Semi-tensor Product
Kaiyi Chen +3 more
openalex +1 more source
ABSTRACT In May 2020, China abruptly suspended imports from several major Australian beef processors, escalating a diplomatic dispute between the two countries. This trade measure disrupted one of the largest beef export relationships in the world almost overnight.
K. Aleks Schaefer, Youngjune Kim
wiley +1 more source
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]
Gu Z, Li X, Wang G, Wang L.
europepmc +1 more source
Abstract Nanofluids containing nanoparticles represent a promising solvent or reaction system for gas–liquid operations. Herein, the effect of nanoparticle (Al2O3 and SiO2) addition on gas–liquid slug flow pattern and mass transfer enhancement was investigated during CO2 absorption into water in microreactors.
Jie Zong, Jun Yue
wiley +1 more source
A simplified proof of a cosmological singularity theorem. [PDF]
Galloway GJ, Ling E.
europepmc +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Helicity correlation of dihadron in current and target fragmentation regions of unpolarized SIDIS. [PDF]
Xi XQ, Chen KB, Tong XB, Wei SY, Wu J.
europepmc +1 more source

