Results 151 to 160 of about 634,574 (277)

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

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

A comparative analysis of gamma and neutron radiation shielding properties of Gd₂O₃ nanoparticles within HDPE composites irradiated with argon ion beam. [PDF]

Sci Rep
Shabib M, Tawfik EK, Reheem AMA, Nada A, Ashry HA.   +4 more
europepmc   +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

Integrating neutron vibrational spectroscopy and computer simulation to elucidate structure and dynamics of hydrogen. [PDF]

Struct Dyn
Cheng Y, Ramirez-Cuesta AJ, Martins ML, Liu C.   +3 more
europepmc   +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

Structural insights into RNase H catalytic mechanism from room-temperature X-ray and neutron crystallography of apo- and RNA/DNA hybrid-bound enzyme. [PDF]

Curr Res Struct Biol
Gerlits O, Collins A, Kovalevsky A.
europepmc   +1 more source

Development and dosimetric evaluation of a freely deformable ⁶Li-based neutron shield for boron neutron capture therapy. [PDF]

Med Phys
Hu N, Kakino R, Sasaki A, Nojiri M, Akita K, Yoshikawa S, Kohigashi Y, Yoshino Y, Takeno S, Aihara T, Takata T, Tanaka H, Nihei K, Ono K.   +13 more
europepmc   +1 more source

Pilot full-scale demonstration of a prototype table-top neutron resonance transmission analysis system for nuclear material detection. [PDF]

Commun Eng
Guembou Shouop CJ, Tsuchiya H.
europepmc   +1 more source

Prediction of spallation induced transmutation rates for long-lived fission products via proton accelerator. [PDF]

Sci Rep
Tukharyan G, Kendrick WR, Yu J, Danagoulian A, Forget B.   +4 more
europepmc   +1 more source