Results 131 to 140 of about 83,473 (294)

Statistical Approach and Neutron Activation Analysis for Determining Essential and Toxic Elements in Two Kinds of Algerian Artemisia Plant. [PDF]

Biol Trace Elem Res, 2021
Begaa S, Messaoudi M, Benarfa A.
europepmc   +1 more source

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, Alex Liu, Thomas S. Marchese, Yuanlong Bill Zheng, Weikang Li, Dhevathi Rajan Rajagopalan Kannan, Vallabha Rao Rikka, Vinay Premnath, Judith Jeevarajan, Ying Shirley Meng   +9 more
wiley   +1 more source

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

Advanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah, JaeWook Seo, SeEun Park, Seung Hyeok Chu, Jung Kyoo Lee   +4 more
wiley   +1 more source

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

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, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

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

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, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Development of neutron activation analysis procedures for the determination of oxygen in potassium final report, period ending 15 dec. 1964 [PDF]

Neutron activation analysis for determination of oxygen in ...
Guinn, V. P., Lukens, H. R., Jr., Steele, E. L.   +2 more
core   +1 more source

neutron activation analysis

Citation: 'neutron activation analysis' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08739 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

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

Determination of erbium by using fast neutron induced gamma-ray activation analysis

He jishu
BackgroundIn the process of nuclear fuel generation, neutron poisons are added to enhance performance of nuclear fuel. Erbium is a common neutron poison, and its content needs to be measured and analyzed during the production of such nuclear fuels.
CHENG Can, JIA Wenbao, GU Jiayu, HU Zunhao, XING Liteng, XIA Xunrong, ZHANG Yan   +6 more
doaj   +1 more source

Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks. [PDF]

Sci Rep, 2020
Hossny K, Hossny AH, Magdi S, Soliman AY, Hossny M.   +4 more
europepmc   +1 more source