Results 61 to 70 of about 33,388 (259)
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.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
IEEE AccessLarge Language Models (LLMs) have been applied in multiple fields due to their language understanding, multi-modal interaction, and logical reasoning capabilities.
Ruxing Yang, Luyao Liang
doaj +1 more source
Advanced Engineering Materials, EarlyView.Iron‐based metallic glass alloys exhibit excellent soft‐magnetic properties, and unprecedented geometrical freedom in the design of soft‐magnetic metallic glass components is made possible by additive manufacturing. An efficient workflow for developing parameters for laser‐based powder bed fusion of a Fe‐based metallic glass alloy is presented along ...
Julia Löfstrand +7 more
wiley +1 more source
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
We investigate parameter-efficient fine-tuning (PEFT) methods that can provide good accuracy under limited computational and memory budgets in the context of large language models (LLMs). We present a new PEFT method called Robust Adaptation (RoSA) inspired by robust principal component analysis that jointly trains $\textit{low-rank}$ and $\textit ...
Nikdan, Mahdi +3 more
openaire +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.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
Wuxin： Architecture Design and Empirical Study for Vertical‑Domain Large Language Model System
Shuju Caiji Yu ChuliIn customized scenarios， it is urgent to enhance the understanding and generation capabilities of large language models （LLMs） in specific vertical domains.
ZHU Xinli +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart +3 more
wiley +1 more source
Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study
Advanced Engineering Materials, EarlyView.This study explores the first implementation of Ti‐based MXenes materials in brake pad friction composite material. The resulting composite material exhibits a 48% reduction in the wear rate; alongside significant improvements are observed for thermal and mechanical properties.
Eslam Mahmoud +7 more
wiley +1 more source
InformationWhisper is a transformer-based multilingual model that has illustrated state-of-the-art behavior in numerous languages. However, the efficiency remains persistent with the limited computational resources.
Hadia Arshad +5 more
doaj +1 more source
Parameter-Efficient Fine-Tuning of State Space Models
Accepted at ICML 2025.
Galim, Kevin +4 more
openaire +2 more sources