Results 121 to 130 of about 19,203 (311)

Solving Steady-state Mono-energy Neutron Diffusion Solution Set with Parameterized Physics-informed Neural Network

Yuanzineng kexue jishu
Physics-Informed Neural Network (PINN) is a deep learning method that incorporates physical knowledge. It has recently been applied to solve core neutron problems in computational nuclear engineering.
XIE Yuchen, MA Yu, WANG Yahui
doaj   +1 more source

Application of data-driven model reduction techniques in reactor neutron field calculations

Nuclear Engineering and Technology
High-order harmonic techniques can be used to recreate neutron flux distributions in reactor cores using the neutron diffusion equation. However, traditional source iteration and source correction iteration techniques have sluggish convergence rates and ...
Zhaocai Xiang, Qiafeng Chen, Pengcheng Zhao   +2 more
doaj   +1 more source

Diffusion of Carbamazepine in Hydrophobic Zeolites: A Comparative Study Using Classical and Machine‐Learned Potentials

Chemistry – A European Journal, EarlyView.
Can hydrophobic, shape‐selective zeolites efficiently remove the persistent pharmaceutical CBZ from water? This work moves beyond the static picture of interaction energies by modeling diffusion with umbrella sampling and machine‐learned potentials. Even high intrinsic diffusion barriers can be overcome through exergonic adsorption from water, yielding
Jakob Brauer, Richard Kendra, Carlos Bornes, Lukáš Grajciar, Michael Fischer   +4 more
wiley   +1 more source

Synthesis and Functional Properties of Fluorinated Phosphonate‐Substituted Porphyrins: Excellent Photosensitizers and Robust Precursors for Photoactive Langmuir–Schaefer Films

Chemistry – A European Journal, EarlyView.
This is a comprehensive study of new family of high functionalized meso‐tetraarylporphyrins. A synthetic approach to phosphonate‐substituted fluorinated porphyrins was developed. These compounds were investigated with respect to singlet oxygen generation and photostability.
Azhar Kechiche, Cyrille Monnereau, Chantal Andraud, Alla Bessmertnykh‐Lemeune, Yoann Rousselin, Andrey V. Cheprakov, Elizaveta V. Ermakova, Alexandra I. Zvyagina, Habib Nasri   +8 more
wiley   +1 more source

Poly(Ionic) Liquid‐Enhanced Ion Dynamics in Cellulose‐Derived Gel Polymer Electrolytes

ChemSusChem, Volume 18, Issue 6, March 15, 2025.
Advancing Energy Storage: Gel Polymer Electrolytes with Promising Potential Gel polymer electrolytes (GPEs) incorporating methyl cellulose and a range of ionic/polymeric achieved Li+ transference numbers comparable to traditional liquid electrolytes.
Tiago G. Paiva, Maykel Klem, Sara L. Silvestre, João Coelho, Neri Alves, Elvira Fortunato, Eurico J. Cabrita, Marta C. Corvo   +7 more
wiley   +1 more source

Surface hydration‐induced damage in tight oil‐bearing sandy conglomerate reservoirs

Deep Underground Science and Engineering, EarlyView.
A series of techniques such as X‐ray diffraction, scanning electron microscopy, energy‐dispersive spectroscopy, conductivity tests, and infrared thermal imaging were used. The key findings are the identification of a two‐stage surface hydration process and the elucidation of the effects of various minerals and elements on the hydration process ...
Anbang Zhao, Shuheng Du, Yuan Zhang, Jinghong Hu, Bo Zhou, Yun Wei   +5 more
wiley   +1 more source

One‐Pot Spray Pyrolysis Fabrication of Multi‐Phase Lithium Manganese Oxide Microsphere Cathodes for Enhanced Lithium‐Ion Battery Performance

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Sr‐LMO microspheres were synthesized by one‐pot spray pyrolysis, forming multi‐phase lithium manganese oxide with Sr‐doped LiMn2O4, Sr2Mn2O5, and Li2MnO3‐like domains. This structure refines particles, suppresses Jahn–Teller distortion, and adds Li+ pathways, delivering superior cycling stability and rate performance over undoped and commercial LMO ...
Jae Hyeon Choi, Yeon Oh Lee, Kyoung Sun Kim, Yun Chan Kang, Jung Sang Cho, Hyungsub Kim, Sang Mun Jeong, Gi Dae Park   +7 more
wiley   +1 more source

Diffusion critique des neutrons

Journal de Physique, 1964
La diffusion des neutrons par les corps magnétiques présente une intensité particulièrement grande à la température critique à cause des fluctuations d'aimantation importantes qui se produisent alors. On montre que la section efficace critique est proportionnelle à la susceptibilité dans un champ statique sinusoïdal, dont on donne des méthodes de ...
openaire   +2 more sources

Entropy‐Driven Innovations: Entropy Stabilized Oxides for High‐Performance Next‐Generation Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza, Jialiang Wei, Zhicai Wang, Zhaoyang Lv, Junye Cheng, Jia Xu, Liang An, Yuliang Liu, Sergey Ryazantsev, Shukui Li, Guangping Zheng   +10 more
wiley   +1 more source

Stability analysis in BWRs with double subdiffusion effects: Reduced order fractional model (DS-F-ROM)

Nuclear Engineering and Technology
The aim of this work is to explore the effect of the double subdiffusion on the stability in BWRs. A BWR novel reduced order model with double subdiffusion effects: reduced order fractional model (DS-F-ROM) to describe the neutron and heat transfer ...
Gilberto Espinosa-Paredes, Ricardo I. Cázares-Ramírez, Vishwesh A. Vyawahare, Érick-G. Espinosa-Martínez   +3 more
doaj   +1 more source