Results 101 to 110 of about 5,356 (294)

Development of Galerkin Finite Element Method Three-dimensional Computational Code for the Multigroup Neutron Diffusion Equation with Unstructured Tetrahedron Elements

Nuclear Engineering and Technology, 2016
In the present paper, development of the three-dimensional (3D) computational code based on Galerkin finite element method (GFEM) for solving the multigroup forward/adjoint diffusion equation in both rectangular and hexagonal geometries is reported ...
Seyed Abolfazl Hosseini
doaj   +1 more source

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

Development of the Hierarchical Domain Decomposition Boundary Element Method for Solving the Three-Dimensional Multiregion Neutron Diffusion Equations. [PDF]

, 2001
Gou CHIBA, Masashi Tsuji, Yoichiro SHIMAZU   +2 more
openalex   +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

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

Moving meshes to solve the time-dependent neutron diffusion equation in hexagonal geometry [PDF]

, 2015
A. Vidal-Ferràndiz, R. Fayez, D. Ginestar, G. Verdú   +3 more
openalex   +1 more source

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Research on the Propagation Characteristics of Neutron Noise Under Different Core Design

Journal of Nuclear Engineering
Neutron noise in pressurized water reactors (PWRs) is mainly induced by fluctuations in macroscopic neutron cross-sections, which can be triggered by various factors such as vibrations of reactor internals.
Lin Guo, Dechang Cai, Yuxiang Zhu, Mingtao He, Changyou Zhao   +4 more
doaj   +1 more source

Taming a Blue Gas—Structure and Chemistry of Hexafluorothioacetone

Angewandte Chemie International Edition, EarlyView.
Hexafluorothioacetone (1), a blue gas at r.t., was synthesized by flash vacuum pyrolysis of its cyclic dimer at 660°C. We discuss fundamental properties of elusive 1, including single‐crystal structure and nuclear magnetic resonance spectroscopy, despite its tendency to dimerize even at –74°C.
Hennes Günther, Antti J. Karttunen, Xiulan Xie, Frank Tambornino   +3 more
wiley   +1 more source

Understanding the Aqueous Self‐Assembly of Raw Sophorolipid Mixtures Using a Statistical Approach Applied to Synchrotron Small Angle X‐Ray Scattering (SAXS): A Focus on pH, Dilution, Aging, and the Underestimated Role of Residual Fatty Acids

Journal of the American Oil Chemists' Society, EarlyView.
The statistical analysis of SAXS modelling data allows to identify the critical physicochemical parameters that have an impact on the phase behavior of crude sophorolipid batches. ABSTRACT The aqueous self‐assembly of raw sophorolipid mixtures has been studied by small angle x‐ray scattering (SAXS) to understand the impact of the composition ...
Maia Ouret‐Campagnet, Sélène Chappuis, Jean‐Christophe Castaing, Petra Pernot, François Ribot, Niki Baccile   +5 more
wiley   +1 more source