Results 171 to 180 of about 288,450 (309)
Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development
Advanced Engineering Materials, EarlyView.This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen +20 more
wiley +1 more source
Current Trends and Future Perspective for Cold Spray Metal‐Ceramic Composites
Advanced Engineering Materials, EarlyView.The use of cold spray (CS) technology for creating cermet deposits, combining ceramic and metallic components, is advancing rapidly. Cermets offer excellent temperature handling and erosion resistance for diverse applications. This review outlines the current state of the art, focusing on the deposition dynamics and strategies to optimize the ...
Romario A. Wicaksono +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran +5 more
wiley +1 more source
Bioinspired Design of Isotropic Lattices with Tunable and Controllable Anisotropy
Advanced Engineering Materials, EarlyView.This study introduces nested isotropic lattices, integrating architectural elements like nesting orders and orientations inspired by bioarchitectures. The design enables tunable anisotropy across nine mono‐nest and twenty multi‐nest lattices with 252 parametric variations, demonstrating transitions from shear‐ to tensile‐compression‐dominant behaviors ...
Ramalingaiah Boda +2 more
wiley +1 more source
StahlDigital: Ontology‐Based Workflows for the Steel Industry
Advanced Engineering Materials, EarlyView.The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters +18 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier +37 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Advanced Engineering Materials, EarlyView.Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke +4 more
wiley +1 more source
Dressing vs. Fixing: On How to Extract and Interpret Gauge-Invariant Content. [PDF]
Found PhysBerghofer P, François J.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source