Results 131 to 140 of about 17,399 (260)

Investigation of the Microstructure and Scintillation Properties of Ce-Doped CaF₂/LiF Eutectics for Thermal Neutron Detection. [PDF]

Materials (Basel)
Matsuyama T, Kamada K, Yoshino M, Murakami R, Ishizawa S, Yokota Y, Yoshikawa A.   +6 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

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

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

Chelation Drives Surface Substitution in Hybrid‐MXenes

Angewandte Chemie, EarlyView.
We demonstrate ethylenediamine‐derived bidentate binding on Ti3C2 by controlled deprotonation of ─NH2 groups during reaction with Ti3C2Br2. XRD, XPS, ssNMR, STEM, DFT, and INS confirm the bidentate coordination and the superior stability of chelating modes, while AIMD reveals proton transfer and new surface imine–Ti bonding mode.
Vikash Khokhar, Young‐Hwan Kim, Abu Rashed Md. Shawon, Fatemeh Karimi, Danial Zangeneh, Yongqiang Cheng, Chang Liu, Murillo Longo Martins, Alexander S. Filatov, Robert F. Klie, Aaron J. Rossini, John S. Anderson, Dmitri V. Talapin, De‐en Jiang   +13 more
wiley   +2 more sources

Vertically Self-Oriented, Ultrafast 1D ZnO:Li Nanorods as Scintillators for Thermal Neutron Detection. [PDF]

ACS Appl Nano Mater
Kurudirek M, Kurudirek SV, Erickson A, Sellin PJ, Duce M, Gouws J, Lawrie BJ, Melcher CL, Hertel NE.   +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

Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective

Angewandte Chemie, EarlyView.
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie, Chengdong Liu, Xinghao Wang, Jian Wang, Zhen Chen, Huihua Li, Wenlong Cai, Hao Li, Yang Peng, Fanglin Wu, Stefano Passerini, Haolin Tang   +11 more
wiley   +2 more sources

A functional digital model of the Dingo thermal neutron imaging beamline. [PDF]

Sci Rep
Jakubowski K, Bevitt JJ, Howell N, Dobie C, Sierro F, Garbe U, Olsen S, Stopic A, Franklin DR, Tran LT, Rosenfeld A, Guatelli S, Safavi-Naeini M.   +12 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