Results 171 to 180 of about 446,463 (247)
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
Design and development of a convolutional neural network based on human cognitive attention mechanism for automatic classification of leukemia. [PDF]
Zolfaghari M, Saniee Abadeh M, Sajedi H.
europepmc +1 more source
Computer Graphics Education and Graphic Science Education as Liberal Arts Education
openaire +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
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
An importance sampling vortex particle method for turbulence visualization simulation in maritime simulators. [PDF]
Zhu T, Ren H, Tao R, Wei D, Xie P.
europepmc +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
Coordinated Meta-Storms enables comparison of million-level microbiomes. [PDF]
Wang M, Gao H, Zhang Y, Huang Y, Su X.
europepmc +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
3D visualization design of digital intelligent landscape environment based on wireless network security. [PDF]
Liao X.
europepmc +1 more source

