Results 171 to 180 of about 508,080 (278)

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

Effect of bread microstructure on internal liquid penetration using the lattice Boltzmann method combined with X-ray micro-computed tomography. [PDF]

Curr Res Food Sci
Zhou H, Gharibi F, Xu X, Kharaghani A, Thévenin D.   +4 more
europepmc   +1 more source

MXene‐Derived Highly Oriented TiN Enables Ta3N5 Photoanodes for Transmission‐Mode Bias‐Free Solar Water Splitting

Advanced Energy Materials, EarlyView.
This work reports 2D MXene‐derived TiN thin films with (111)‐preferred orientation for transparent Ta3N5 photoanodes, demonstrating effective electron transfer behavior. All‐nitride electron‐collection architecture based on MXene‐derived TiN and n‐GaN resolves a long‐standing materials bottleneck between photocarrier transport and light transmission in
Jin Wook Yang, Hee Ryeong Kwon, Young Seon Yoon, Sung Yeon Lim, Tae Hyung Lee, Jiwoo Lee, Sung Hyuk Park, Sohyeon Park, Jungwon Park, Jin Young Kim, Ho Won Jang   +10 more
wiley   +1 more source

Investigation of Vibration-Induced Transport of Newtonian and Non-Newtonian Fluids in Porous Media Using Lattice Boltzmann Method. [PDF]

Bioengineering (Basel)
Kwon SW, Lee HM, Yeom HC, Oh CS, Lee JS.
europepmc   +1 more source

MRT-lattice Boltzmann simulation of MHD natural convection of Bingham nanofluid in a C-shaped enclosure with response surface analysis. [PDF]

Heliyon, 2023
Asha NEJ, Molla MM.
europepmc   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Lattice Boltzmann Simulation of Mass Transfer Characteristics in Catalyst Layer of High-Temperature Proton Exchange Membrane Fuel Cells. [PDF]

Membranes (Basel)
Ji S, Yang G, Wang H.
europepmc   +1 more source

Simulation of High-Viscosity Generalized Newtonian Fluid Flows in the Mixing Section of a Screw Extruder Using the Lattice Boltzmann Model. [PDF]

ACS Omega, 2023
Liu L, Meng Z, Zhang Y, Sun Y.
europepmc   +1 more source

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
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

Identification of Ultra-Short Laser Parameters for a 3D Model of a Thin Metal Film Using the Lattice Boltzmann Method. [PDF]

Materials (Basel)
Długosz A, Korczak A.
europepmc   +1 more source