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
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
Power quality optimization framework for three phase microgrids with grid tied solar PV and battery storage under nonlinear loads. [PDF]
Saleh Waseem Abbasi M +5 more
europepmc +1 more source
Mechanistic Systems Biology of High-Salinity Fermented Seafood: Multi-Omics Integration for Microbial Safety and Quality Prediction. [PDF]
Ang MY +6 more
europepmc +1 more source
Comparative performance of air sampling methods in a broiler house: implications for use and recovery of bacteria. [PDF]
Porzeinski JT +3 more
europepmc +1 more source
ENDOSWIR clinical proof of concept: a reflectance-based multispectral imaging device for head and neck cancer detection. [PDF]
Fabre C +9 more
europepmc +1 more source
Stabilizing the Convergence of Pixel-Based Deep Active Inference Controllers Using Adaptive Smoothing Filters. [PDF]
Nagatsuka K +3 more
europepmc +1 more source
Computational Quantification of Mouse Retinal Vasculature Using ImageJ.
Nader M +5 more
europepmc +1 more source

