Results 121 to 130 of about 6,395,720 (300)
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Engineering Vanderbilt; Vol. 43 No. 01, 2002
, 2002 Engineering Vanderbilt (formerly Engineering News) is the newsletter of the Vanderbilt University School of EngineeringSchool of ...
Vanderbilt University. School of Engineering
core
Design of advanced steels by integrated computational materials engineering
Materials Genome Engineering AdvancesThe integrated computational materials engineering (ICME) has achieved great success in accelerating the rational design and deployment of new materials.
Xiao‐Gang Lu, Yanlin He, Weisen Zheng
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Engineering Vanderbilt; Vol. 50 No. 02, 2009
, 2009 Engineering Vanderbilt (formerly Engineering News) is the newsletter of the Vanderbilt University School of Engineering.Vanderbilt University.
Vanderbilt University. School of Engineering
core
Towards Rational Computational Engineering of Psychrophilic Enzymes. [PDF]
Sci Rep, 2019 Sočan J +3 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Engineering Vanderbilt; Vol. 46 No. 01, 2005
, 2005 Engineering Vanderbilt (formerly Engineering News) is the newsletter of the Vanderbilt University School of EngineeringSchool of ...
Vanderbilt University. School of Engineering
core
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Engineering Vanderbilt; Vol. 44 No. 02, 2003
, 2003 Engineering Vanderbilt (formerly Engineering News) is the newsletter of the Vanderbilt University School of Engineering.School of ...
Vanderbilt University. School of Engineering
core