Results 231 to 240 of about 49,661 (296)
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 study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Transformer-Based Multi-Source Transfer Learning for Intrusion Detection Models with Privacy and Efficiency Balance. [PDF]
Yang B, Zhang G, Wang K.
europepmc +1 more source
The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh +3 more
wiley +1 more source
De novo functional protein sequence generation: overcoming data scarcity through regeneration and large language models. [PDF]
Ren C, He D, Huang J.
europepmc +1 more source
An Interactive Optimal Scheduling Method for Hydrogen Production System with Heat Recovery. [PDF]
Li S, Wu W, Wu Z, Ma L, Si Y.
europepmc +1 more source
A Public Opinion Propagation Model for Human-Made Disasters Considering Herd Behavior and Psychological Involvement. [PDF]
Zhang Y, Ni T, Tang W.
europepmc +1 more source
Atomic-scale physical unclonable functions in solids. [PDF]
Chai Z +9 more
europepmc +1 more source
Generating borderline test samples for randomness testers via intelligent optimization and evolutionary algorithms. [PDF]
Gao P, Zhang B, Wang Z, Li C.
europepmc +1 more source

