Results 181 to 190 of about 38,165 (305)
Enhancing SOC accuracy in electric vehicle batteries via trapezoidal integration and capacity degradation compensation. [PDF]
Kulkarni SV +4 more
europepmc +1 more source
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee +6 more
wiley +1 more source
Formation of Monocyclic and Polycyclic Hydrocarbons from Sequential Toluene Reactions in Coulomb Crystals. [PDF]
Kocheril GS +3 more
europepmc +1 more source
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
General Expression for Vibronic Coupling in Proton-Coupled Energy Transfer. [PDF]
Cui K, Hammes-Schiffer S.
europepmc +1 more source
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
Enhancing plasmonic superconductivity in layered materials via dynamical Coulomb engineering. [PDF]
In 't Veld Y +3 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
High-temperature probe of electron compressibility via asymmetric Coulomb drag. [PDF]
Liu Y +9 more
europepmc +1 more source

