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Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
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

Research on ground pressure control modes in a subsea mine by physical model test and numerical simulation analysis. [PDF]

Sci Rep
Liu W, Liu Z, Qiu J, Guo T, Zhu Q.
europepmc +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source

Classifying land use within 80,000 mining sites on a global scale. [PDF]

Sci Data
Cheng YT, Hoang NT, Maupu L, Kanemoto K.
europepmc +1 more source

World Ocean Review 2010 : Living with the oceans [PDF]

, 2010
Bollmann, Moritz +35 more
core

OSMAC guided bioprospecting of Atlantic sponges reveals novel bacterial species and evidence for the antimicrobial thiazole alkaloid agrochelin II. [PDF]