Results 181 to 190 of about 247,859 (329)

Investigation of the Lithium Extraction Mechanism from LiNi0.6Mn0.2Co0.2O2 by Using Operando Neutron Diffraction in an All‐Solid‐State Battery

Advanced Energy Materials, EarlyView.
All‐solid‐state batteries (ASSB) are promising for high‐energy applications. Using a newly designed electrochemical cell, this study demonstrates reversible Li+ insertion/extraction in a thick ASSB and enables operando neutron diffraction. The results reveal structural evolution and H1‐H2 phase coexistence in LiNi0.6Mn0.2Co0.2O2 (NMC622), while ...
Sreelakshmi Anil Kumar, Dhanush Shanbhag, Ove Korjus, Prashanth Sivakumar, Laurence Croguennec, Christian Masquelier, Jean‐Noël Chotard, Emmanuelle Suard   +7 more
wiley   +1 more source

Monitoring Xenon Capture in a Metal Organic Framework Using Laser-Induced Breakdown Spectroscopy. [PDF]

Micromachines (Basel), 2022
Andrews HB, Thallapally PK, Robinson AJ.
europepmc   +1 more source

Binary neutron-star simulation SXS:NSNS:0001

, 2018
Michael Boyle, A. R. Williamson, Tanja Hinderer, Roland Haas, Alessandra Buonanno, Larry Kidder, Mark Scheel, Dan Hemberger, Matthew Duez, François Foucart, Harald Pfeiffer   +10 more
openalex   +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

Evaluating machine learned nuclear data precision in full core nuclear reactor Monte Carlo neutronics and computational efficiency analyses. [PDF]

Sci Rep
Hashemi A, Macián-Juan R, Ohlerich M.
europepmc   +1 more source

Carburization Kinetics of Zircalloy-4 and Its Implication for Small Modular Reactor Performance. [PDF]

Materials (Basel), 2022
Kardoulaki E, Abdul-Jabbar N, Byler D, Hassan MM, Mann S, Coons T, White J.   +6 more
europepmc   +1 more source

Theory of Inclusive Scattering of Polarized Electrons by Polarized $^{3}$He and the Neutron Form Factors [PDF]

, 1993
C. Ciofi degli Atti, E. Pace, G. Salmè
openalex   +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 a novel machine learning-based adaptive resampling algorithm for nuclear data processing. [PDF]

Sci Rep
Hashemi A, Macián-Juan R, Ohlerich M.
europepmc   +1 more source