Results 101 to 110 of about 111,155 (292)

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

Nucleosynthesis: Stellar and Solar Abundances and Atomic Data [PDF]

, 2006
Abundance observations indicate the presence of often surprisingly large amounts of neutron capture (i.e., s- and r-process) elements in old Galactic halo and globular cluster stars.
Collier, Jason, Cowan, John J., DenHartog, E. A., Dodge, Homer L., Lawler, James E., Sneden, Christopher   +5 more
core   +4 more sources

Measurements of neutron-induced reactions in inverse kinematics and applications to nuclear astrophysics

, 2015
Neutron capture cross sections of unstable isotopes are important for neutron-induced nucleosynthesis as well as for technological applications. A combination of a radioactive beam facility, an ion storage ring and a high flux reactor would allow a ...
Endres, Anne, Glorius, Jan, Göbel, Kathrin, Heftrich, Tanja, Koloczek, Alexander, Litvinov, Yuri A., Reifarth, René, Sonnabend, Kerstin, Travaglio, Claudia, Weigand, Mario   +9 more
core   +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

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, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 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

Non-Statistical Effects in Neutron Capture

, 2008
There have been many reports of non-statistical effects in neutron-capture measurements. However, reports of deviations of reduced-neutron-width distributions from the expected Porter-Thomas (PT) shape largely have been ignored.
Andreas Zilges, Andrey Blazhev, D. J. Vieira, D. Wiarda, J. A. Harvey, J. L. Ullmann, J. M. O’Donnell, J. M. Wouters, Jan Jolie, K. H. Guber, Nigel Warr, P. E. Koehler, R. Reifarth, R. S. Rundberg, T. A. Bredeweg   +14 more
core   +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

The intermediate neutron capture process

Astronomy & Astrophysics
Context. The intermediate neutron-capture process (i-process) can occur during proton ingestion events (PIEs), which may take place in the early evolutionary phases of asymptotic giant branch (AGB) stars. Aims. We investigate the impact of rotational and
Choplin A., Siess L., Goriely S., Eggenberger P., Moyano F. D.   +4 more
doaj   +1 more source

Measurements of gamma-ray production cross sections for shielding materials of space nuclear systems [PDF]

, 1972
Measurements of secondary gamma ray production from neutron interactions have been made over the entire energy range of interest in shielding applications.
Hoot, C. G., John, J., Orphan, V. J.
core   +1 more source