Results 81 to 90 of about 44,041 (269)
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
Coneixent millor els cercadors
Aguillo, Isidro
doaj +1 more source
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley +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
Conociendo mejor los buscadores
Aguillo, Isidro
doaj +1 more source
Objective – To explore how Web-savvy users think about and search an online catalogue. Design – Protocol analysis study. Setting – Academic library (Pennsylvania State University Libraries). Subjects – Eighteen users (17 students, 1 faculty member)
Susan Haigh
doaj
Multi-attribute utility models as cognitive search engines [PDF]
In optimal stopping problems, decision makers are assumed to search randomly to learn the utility of alternatives; in contrast, in one-shot multi-attribute utility optimization, decision makers are assumed to have perfect knowledge of utilities. We point
Pantelis P. Analytis +2 more
doaj
Assessment and Comparison of Database Search Engines for Peptidomic Applications. [PDF]
De La Toba EA +2 more
europepmc +1 more source
Context Sensitive Search Engine
In this paper, we use context information extracted from the documents in the collection to improve the performance of the search engine. In first step, we extract context using Lucene, DBPedia-Spotlight, and Wordnet. As the second step, we build a graph using extracted context information.
Düzağaç, Remzi, Yıldız, Olcay Taner
openaire +2 more sources
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source

