Results 111 to 120 of about 832,697 (313)
What Do Large Language Models Know About Materials?
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
Experimental Analysis and Physics‐Based Analytical Model on Twisted and Coiled Artificial Muscles
Twisted and coiled artificial muscles made from silver‐coated nylon fibers are investigated through experiments and analytical modeling. The actuators achieve contractions up to 19.3% and specific work of 8 kJ kg−1, though efficiency remains limited (≈0.15%) by thermal losses.
Salvatore Garofalo +3 more
wiley +1 more source
BioInfoWF – WEB SERVICES AND WEB INTERFACES GENERATOR FOR BIOINFORMATICS ANALYSIS
The BioinfoWF (Bioinformatics WorkFlow) system for automated generation of Web interface and Web services for bioinformatics programs. Each program module used in the system has metadescription in XML.
M. A. Genaev +3 more
doaj
Web Crawler: Extracting the Web Data
Mini Singh Ahuja +2 more
openaire +1 more source
Prototype Implementation of Web and Desktop Applications for ALMA Science Verification Data and the Lessons Learned [PDF]
S. Eguchi +6 more
openalex +1 more source
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner +22 more
wiley +1 more source
Editorial: User Modeling and Recommendations
Denis Helic +2 more
doaj +1 more source
Integration of Web Geospatial Data Based on Ontology [PDF]
Yanqing Zhao, Rulin Xiao
openalex +1 more source
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

