Results 151 to 160 of about 53,388 (262)

Atomic‐Scale Tracing of Lithium Trapped in Copper Current Collectors

Advanced Energy Materials, EarlyView.
Does lithium diffuse into the copper current collector during cycling in lithium‐metal batteries? This study unveils, at the atomic scale, that lithium is trapped at grain boundaries and junctions, already after only one plating/stripping cycle. After three and more cycles, the copper foil surface becomes nanocrystalline and oxidized.
Tong Li, Carlo Franke, Ziyuan Lyu, Omair Ashfaq, Mervyn Soans, Mohsen Sotoudeh, Thomas Diemant, Jun Xia, Aleksander Kostka, Dominic Bresser   +9 more
wiley   +1 more source

Thermally Activated Delayed Fluorescence Hybrid Copper(I) Iodide Scintillator for Fast Neutron and X-ray Imaging. [PDF]

J Am Chem Soc
Hu Q, Bao Z, Elsayed H, Wang JX, Liu L, Xiao J, Niu G, Wu W, He T, Faleiros MC, Hasanov BE, Jiang Y, Zhang C, Sun D, Bakr OM, Mohammed OF.   +15 more
europepmc   +1 more source

Multiscale Design of Anion Exchange Membrane‐Based Seawater Electrolysis for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
Direct seawater electrolysis using anion exchange membranes is emerging as a promising route for sustainable hydrogen production. This review summarizes multiscale design strategies from seawater chemistry and OER–ClER selectivity to catalysts, membranes, MEAs, cells, stacks, and system integration, providing a roadmap toward selective, durable, and ...
Chiho Kim, Geunhee Yuk, Jong‐Hyeok Park, Shin‐woo Myeong, Jun Seok Ha, Won Tae Hong, Jung Kyu Kim, Sung Mook Choi   +7 more
wiley   +1 more source

Neutron and gamma radiation shielding properties of transparent polymethyl methacrylate copolymers containing gadolinium. [PDF]

Sci Rep
Xie S, Liao Y, Yan J, Mao C, Li C, Wu Z, Yan Q, Liu G.   +7 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

Quantifying sorptivity using the contact sponge method: an improved calculation method validated by classical capillary rise experiments and neutron radiography. [PDF]

Mater Struct
Derluyn H, Desarnaud J, Vandevoorde D, Dewanckele J, Boone MN, Peetermans S, Lehmann E, Viles H, Cnudde V.   +8 more
europepmc   +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

Monitoring the Microwave Synthesis of d0‐Free Disordered Rocksalt Cathodes Using In Situ Infrared Pyrometry

Angewandte Chemie, EarlyView.
Despite its promise for producing metastable materials, the mechanisms underlying solid‐state microwave synthesis remain poorly understood. By combining in situ thermography with x‐ray diffraction and solid‐state NMR, this study uncovers a surprising order–disorder–order reaction pathway during the microwave synthesis of the Li1.1Mn0.9O1.9F0.1${\rm Li ...
Erick A. Lawrence, Matthew A. Wright, Tianyu Li, Euan N. Bassey, Vijay Kumar, Shiyu Yuan, Yangying Zhu, Pierre‐Etienne Cabelguen, Raphaële J. Clément   +8 more
wiley   +2 more sources

An adapted methodology to characterize the neutron emission of californium neutron sources. [PDF]

Radiat Prot Dosimetry
Stabilini A, Geser FA, Kasprzak M, Mayer S.   +3 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source