An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Microstructure-informed constitutive modeling of granular media under multidirectional loading: From particle-scale to continuum. [PDF]
Irani N +5 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
High-precision stress prediction using deep energy network enhanced by stress equilibrium with Delaunay integration on refined grid. [PDF]
Ye Y, An D, Li H, Wang W, Li X, Shi P.
europepmc +1 more source
Effects of strong parametric excitation on cantilever beam: non-perturbative approach. [PDF]
Moatimid GM, Amer TS, Elagamy K.
europepmc +1 more source
On certain novel numerical and analytical solutions for the pure-cubic Schrödinger equation in optical fibers with Kerr nonlinearity. [PDF]
Tariq KU +3 more
europepmc +1 more source
A second-order dynamical system for solving inverse quasi-variational inequalities and its application. [PDF]
Gan T, Khan VK, Ahmad MK, Cai QB.
europepmc +1 more source
Harnessing Surface Instabilities for Functional Materials: Mechanics, Morphology, and Emerging Applications. [PDF]
Zhang Q +7 more
europepmc +1 more source
Design oriented modeling of squeezed MHD convective flow of hybrid nanoliquid over a sensor surface with chemical reaction advanced sensor technology using artificial neural network. [PDF]
Iqbal MA +6 more
europepmc +1 more source

