A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries
Advanced Energy Materials, EarlyView.A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao +9 more
wiley +1 more source
Neutron Age Determination in Fast Reactor Materials using the Group Method
MATEC Web of Conferences, 2016 The article deals with the methods of identifying fast neutron age in sodium (Na) and uranium-238 (238U); describes the model of advanced and effective fast neutron nuclear reactors (FN), where Na is a coolant while 238U is involved in the fuel cycle in ...
Kabanova Marina F. +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Neutron kinetics of a fast, hot, critical assembly in the startup mode [PDF]
Neutron kinetics of fast, hot, critical assembly in startup ...
Niederauer, G. F.
core +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Treatment of a Non-syndromic Carotid Body Paraganglioma Using Fast Neutron Radiotherapy: A Case Report and Review of Literature. [PDF]
Cureus, 2023 Ramanathan S, Loving BA, Fontanesi J.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley +1 more source
Geophysical Monograph Series, Page 263-304., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jessica H. Whiteside +3 more
wiley +2 more sources
Fast and Furious: Fast Neutron Therapy in Cancer Treatment. [PDF]
Int J Part Ther, 2022 Gordon K +4 more
europepmc +1 more source