Results 71 to 80 of about 112,404 (251)
Multi-physics Coupling Prediction of Gas-cooled Reactor Based on POD-ANN
The gas-cooled reactor has much advantages such as high power density, compact core, high system efficiency, and strong adaptability, which is an important candidate solution for breaking through the energy bottleneck in the future.
CAO Zhongbin1, 2, MA Yugao2, QIU Zhifang2, , HUANG Shanfang1, WEI Zonglan2
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
In the realm of deep earth engineering, increasing excavation depths present formidable challenges like heightened ground stress, permeability, temperatures, and disruptive excavation effects, posing significant safety risks.
Zihao Kan +6 more
doaj +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Railway subgrades in desiccated salt lake regions are prone to swelling hazards under complex environmental conditions. To investigate the water–salt–thermal–mechanical multi-field coupling responses and the synergistic evolution of microstructure, this ...
Yanfu Duan +3 more
doaj +1 more source
Research progress on airfoil icing characteristics and complex flowfield analysis
The theory of aircraft icing and its disaster mechanisms are crucial for preventing icing accidents and enhancing flight performance. The research progress on the flow field characteristics under different icing conditions and special wing configurations
LIU Xiang +5 more
doaj +1 more source
Controlling the Field Assisted Sintering Technology (FAST) parameters, dwell temperature and cooling rate, significantly influences the microstructural evolution in titanium aluminide GE4822. Significant γ‐lamellar colonies develop only upon cooling through the α‐transus.
Jack Krohn, James Pepper, Martin Jackson
wiley +1 more source
In hybrid laser-MIG(Metal Inert Gas) welding, multi-physics field prediction in the melting pool is crucial for process optimization and quality control.
Wenbo Zhou +4 more
doaj +1 more source

