Results 171 to 180 of about 16,460 (311)

Extending a Gray Lattice Boltzmann Model for Simulating Fluid Flow in Multi-Scale Porous Media. [PDF]

Sci Rep, 2018
Zhu J, Ma J.
europepmc   +1 more source

Sulfonated Bathocuproine Derivatives as Chemically Bonded Buried‐Interface Engineers for n–i–p Perovskite Solar Cells

Advanced Science, EarlyView.
A BCP‐derived buried‐interface strategy establishes Na‐BCS as a chemically bonded molecular bridge. By combining sulfonate anchoring to SnO2 with preserved BCP–Pb2+ coordination, Na‐BCS simultaneously passivates oxide‐ and perovskite‐side defects, suppresses non‐radiative recombination, and delivers a surface recombination velocity of 8.6 cm s−1, a ...
Dong Hyun Kim, Min Ju Jeong, SeungMin Lee, Oui Jin Oh, Mun Young Woo, Sung Yong Kim, Dong Hun Kang, Chan Young Kim, Chan Ho Shin, Jun Hong Noh   +9 more
wiley   +1 more source

Sliding Ferroelectricity Driven Spin‐Layertronics in Altermagnetic Multilayers

Advanced Science, EarlyView.
Integrating sliding ferroelectricity with altermagnetism enables nonvolatile electrical control of spin and layer degrees of freedom. In bilayer CuF2, interlayer translation reverses layer‐locked spin‐split bands, establishing a multifunctional “spin‐layertronic” platform.
Rui Peng, Guangxu Su, Yangyang Fan, Jiaan Li, Fanxin Liu, Yee Sin Ang   +5 more
wiley   +1 more source

Lattice Boltzmann Model of 3D Multiphase Flow in Artery Bifurcation Aneurysm Problem. [PDF]

Comput Math Methods Med, 2016
Abas A, Mokhtar NH, Ishak MH, Abdullah MZ, Ho Tian A.   +4 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun, Yuan Ma, Hehe Zhang, Shengan Wu, Shiyong Chu, Stefano Passerini, Yanjiao Ma   +6 more
wiley   +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

Study of Gas Flow Characteristics in Tight Porous Media with a Microscale Lattice Boltzmann Model. [PDF]

Sci Rep, 2016
Zhao J, Yao J, Zhang M, Zhang L, Yang Y, Sun H, An S, Li A.   +7 more
europepmc   +1 more source

A lattice Boltzmann equation for waves

, 2000
We propose a lattice Boltzmann model for the wave equation. Using a lattice Boltzmann equation and the Chapman-Enskog expansion, we get 1D and 2D wave equations with truncation error of order two.
Yan, GW (reprint author), Jilin Univ, Dept Math, Changchun 130023, Peoples R China., 闫广武   +1 more
core  

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source