Penalized eigenvalue block averaging: Extension to nested model comparison and Monte Carlo evaluations. [PDF]
Foldnes N, Grønneberg S, Moss J.
europepmc +1 more source
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
EPE contribution analysis method of multiple patterning lithography by Monte Carlo and Sobol sensitivity analysis. [PDF]
Ai F, Su X, Su Y, Wei Y.
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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
Improving sampling efficacy on high-dimensional distributions with thin high-density regions using Conservative Hamiltonian Monte Carlo. [PDF]
McGregor G, Wan ATS.
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
Heavy Metal Pollution and Risk Assessment of Sediments in Liuye Lake Based on Monte Carlo Simulation. [PDF]
Li G +7 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
Informed Dictionary-Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI. [PDF]
Park JS +4 more
europepmc +1 more source
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

