Results 251 to 260 of about 297,494 (380)

A Robust GPU-Accelerated Cumulant Lattice Boltzmann Method for Non-Newtonian Flows

Hang Zou
openalex   +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

An improved immersed boundary-lattice Boltzmann method for simulating three-dimensional incompressible flows

, 2010
Jie Wu, C. Shu
openalex   +2 more sources

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

Lattice Boltzmann Method Modeling of Flow Structures and Level Fluctuations in a Continuous Casting Process. [PDF]

ACS Omega, 2019
Zhao P, Yang B, Piao R.
europepmc   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source

Superprotonic Conduction in Donor Co‐Doped Perovskites

Angewandte Chemie, EarlyView.
Ceramic proton conductors are promising materials for various applications such as fuel cells. Here, we report superprotonic conduction of BaSc0.8Mo0.1W0.1O2.8 created by donor Mo/W co‐doping into BaScO2.5 (e.g., 10−2 S cm−1 at 193 °C). The high proton conductivity is attributed to high carrier concentration and mobility.
Kensei Umeda, Kei Saito, Takashi Honda, Masatomo Yashima   +3 more
wiley   +2 more sources

Computational simulation data using the Lattice Boltzmann method to generate correlations for gas diffusion layer parameters. [PDF]

Data Brief, 2019
Espinoza-Andaluz M, Reyna R, Qi Y, Li T, Andersson M.   +4 more
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

A Parallel Cellular Automata Lattice Boltzmann Method for Convection-Driven Solidification. [PDF]

JOM (1989), 2019
Kao A, Krastins I, Alexandrakis M, Shevchenko N, Eckert S, Pericleous K.   +5 more
europepmc   +1 more source