Results 141 to 150 of about 943,309 (288)
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 +7 more
wiley +1 more source
Neutron/Gamma Mixed Spectrum Radiolysis-based Aqueous Dosimetry [PDF]
This work develops a method to use an aqueous dosimeter in a mixed radiation field to determine separate measurements of neutron and gamma dose. Based on radiolysis of both Fricke and Methyl Viologen (MV) solutions, activation analysis and reactor ...
Setter, Timothy
core
Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley +1 more source
Measurement of Neutron Flux in the AVR
The experiment to measure neutron flux distribution in the steam generator built above the reactor core of the high temperature gascooled reactor (AVR) in the Federal Republic of Germany was carried out by using new type High Temperature In-core Fission Counter-chambers (HTICs) and Wide Range Neutron Flux Measuring Electronics (WRMEs) in December 1988.
Yamagishi, H. +7 more
openaire +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
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 +5 more
wiley +1 more source
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
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Neutron star oscillations from starquakes
Glitches are sudden increases in the otherwise extremely regular spin rate of pulsars. One theory proposed to account for these glitches is the starquake model, in which the spinup is caused by a sudden rearrangement of the neutron star crust. Starquakes
Keer, Lucy
core +1 more source
Size-exclusion chromatography-small-angle neutron scattering system optimized for an instrument with medium neutron flux. [PDF]
Morishima K +7 more
europepmc +1 more source
Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu +10 more
wiley +1 more source

