Results 111 to 120 of about 5,212 (266)

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang   +6 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced 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

Microfabrication of a gadolinium-derived solid-state sensor for thermal neutrons. [PDF]

open access: yesJ Radiat Res, 2017
Pfeifer KB   +5 more
europepmc   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

open access: yesAdvanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame   +4 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced 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

Opportunistic dose amplification for proton and carbon ion therapy via capture of internally generated thermal neutrons. [PDF]

open access: yesSci Rep, 2018
Safavi-Naeini M   +6 more
europepmc   +1 more source

Research on Evaporation Characteristics and Safe Storage Duration of Marine Liquid Hydrogen Storage Tanks Under the Coupling Effect of Heat Leakage and Sloshing

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Liquid hydrogen, a zero‐carbon and high–energy‐density fuel, is a promising option for future oceangoing vessels. During maritime transportation, onboard cryogenic tanks are exposed to ambient heat leakage and ship‐induced roll motion, which can trigger sloshing and fundamentally modify the coupled thermo‐fluid processes governing boil‐off and
Yan Deng   +5 more
wiley   +1 more source

Strategies to Enhance Ionic Conductivity of Na3Zr2Si2O12 Solid Electrolyte for Advanced Solid‐State Sodium Batteries

open access: yesCarbon Energy, EarlyView.
This review presents a comprehensive summary and discussion of some optimization strategies for enhancing room‐temperature ionic conductivity of Na3Zr2Si2PO12 (NZSP) solid electrolyte for solid‐state sodium batteries, including foreign‐ion doping or substitution, sintering behavior modulation, and regulation of chemical composition based on precursors.
Jiawen Hu   +5 more
wiley   +1 more source

Structural Aspects of Lithium‐Ion Conduction in the Phosphidotitanate Li8TiP4 and Its Comparison With Li7+5xTa1−xP4 and Li8−xTi1−xTaxP4

open access: yesChemistry – A European Journal, EarlyView.
ABSTRACT The chemical system Li/Ti/P has previously been subject to intensive investigation. However, reliable structural data for the reported phases have remained elusive. Motivated by the growing interest in phosphorus‐based lithium‐ion conductors, we have reinvestigated the synthesis, crystal structure, and physical properties of Li8TiP4.
David Müller   +6 more
wiley   +1 more source

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