Results 111 to 120 of about 3,119,060 (271)
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Despite its promise for producing metastable materials, the mechanisms underlying solid‐state microwave synthesis remain poorly understood. By combining in situ thermography with x‐ray diffraction and solid‐state NMR, this study uncovers a surprising order–disorder–order reaction pathway during the microwave synthesis of the Li1.1Mn0.9O1.9F0.1${\rm Li ...
Erick A. Lawrence +8 more
wiley +2 more sources
Research on leakage characteristics of labyrinth seal of air turbine used for small mobile reactor
Brayton cycle has the characteristics of safety, high efficiency and compactness, which is the primary option for the energy conversion system of small mobile reactors.
Jiabao Lai +4 more
doaj +1 more source
Investigation of Multiphase Flow in a Trifurcation Microchannel-A Benchmark Problem. [PDF]
Chiriac E, Avram M, Balan C.
europepmc +1 more source
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 +7 more
wiley +1 more source
Guiding Photochemical Process Intensification Through Kinetic Diagnostics
Photochemical methodologies are typically optimized for yield, yet yield alone provides limited insight into scalability. We show that simple kinetic diagnostics identify the dominant process limitations and guide targeted engineering interventions.
Jasper H. A. Schuurmans +2 more
wiley +2 more sources
Multiphase Flow Production Enhancement Using Drag Reducing Polymers. [PDF]
Alsarkhi A, Salah M.
europepmc +1 more source
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 +5 more
wiley +1 more source
A hybrid “confocal” electrochemiluminescence (ECL) microscopy combines depth‐resolved and time‐resolved imaging to visualize ECL processes across three spatial dimensions and time. By exploiting sluggish coreactant kinetics at ITO electrodes, homogeneous redox propagation enables depth‐resolved, single‐cell resolution mapping of living multicellular ...
Elisa D'Arrigo +4 more
wiley +2 more sources
A Methodology for In-Well Multiphase Flow Measurement with Strategically Positioned Local and/or Distributed Acoustic Sensors. [PDF]
Ünalmis ÖH.
europepmc +1 more source

