Results 151 to 160 of about 2,675,823 (174)
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning [PDF]
Markus J. Buehler
openalex +1 more source
StahlDigital: Ontology‐Based Workflows for the Steel Industry
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
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning [PDF]
Kumar Manas+2 more
openalex +1 more source
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
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör+9 more
wiley +1 more source
Move Beyond Triples: Contextual Knowledge Graph Representation and Reasoning [PDF]
Chengjin Xu+6 more
openalex +1 more source
Tailored Nickel Base Multilayer Systems with Adjusted Grain Size and Chemical Composition
Nickel base multilayer systems are fabricated with pulsed electrodeposition and adjusted according to grain size and copper content. The material is characterized with scanning electron microscopy in combination with energy‐dispersive X‐ray spectroscopy and for deeper insights to the multilayer interfaces with transmission electron microscopy ...
Jutta Luksch+6 more
wiley +1 more source
Temporal Knowledge Graph Reasoning Based on Dynamic Fusion Representation Learning [PDF]
Hongwei Chen, Man Zhang, Zexi Chen
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
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