In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Experimental investigation and reliability-based optimization of the nut factor in bolted joints considering friction coefficient, surface roughness and material hardness. [PDF]
Tran VT, Nguyen HL.
europepmc +1 more source
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Modeling DNA storage retrieval reliability via sequencing coverage depth. [PDF]
Cao R, Zhou P, Chen X.
europepmc +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Editorial: introduction to the special issue "methodological challenges of complex latent mediator and moderator models". [PDF]
Irmer JP +2 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
Monte Carlo simulation and unfolding of an extended Bonner sphere system for secondary neutron spectrometry in proton therapy facilities using conventional BSS experimental data. [PDF]
Díaz-Comeche A +10 more
europepmc +1 more source
Some Trials for the Monte Carlo Direct Simulation.
USAMI, Masaru +2 more
openaire +2 more sources
Molecular surface regulation enabled by fluoropyridines stabilizes sulfide electrolyte interfaces across both reductive and oxidative regimes. By suppressing interfacial decomposition, the modified LPSClBr enables high‐voltage operation, stable stripping/plating of Li metal, and long‐life full cells with uncoated cathodes.
Laras Fadillah +9 more
wiley +1 more source

