Results 81 to 90 of about 1,262,485 (305)

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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

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, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Leveraging Transfer Learning and Mobile-Enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition

IEEE Access
The study explores the integration of transfer learning (TL) with mobile-enabled convolutional neural networks (MbNets) to enhance Arabic Handwritten Character Recognition (AHCR).
Mohsine El Khayati, Ayyad Maafiri, Yassine Himeur, Hamzah Ali Alkhazaleh, Shadi Atalla, Wathiq Mansoor   +5 more
doaj   +1 more source

Research on real-world knowledge mining and knowledge graph completion (IV): construction of a real-world data annotation platform and exploration of automatic extraction method based on pre-trained language models [PDF]

Yixue xinzhi zazhi
Objective To explore the construction of a real-world data annotation platform, and compare the real-world data extraction performance of retrieval augmented generation (RAG) combined with large language models and pre-training fine-tuning methods for ...
YAN Siyu, TAN Jiejun, ZHU Haifeng, HUANG Qiao, WANG Shichun, MA Wenhao, SHI Hanyu, WANG Yongbo, REN Xiangying, HU Wenbin, JIN Yinghui   +10 more
doaj   +1 more source

Inflation and the fine-tuning problem [PDF]

Physical Review D, 1997
5 pages in Latex (uses Revtex), no figures.
openaire   +2 more sources

Near‐Field Electrospinning Micro‐Printhead Achieves Precise Control of Nanofiber Deposition

Advanced Engineering Materials, EarlyView.
A micro‐printhead for near‐field electrospinning enables reproducible deposition of polymer nanofibers with diameters below 50 nm. Systematic parameter studies uncover the mechanisms linking operating conditions to fiber morphology, paving the way for precise and low‐cost nanoscale 3D manufacturing.As a high‐resolution, cost‐effective, and rapid ...
Han Xu, Dario Mager, Jan G. Korvink
wiley   +1 more source

Adults with reading difficulties demonstrate selective impairments in the fine neural tuning for print

Frontiers in Neuroscience
IntroductionNeural tuning for print, reflected in differential responses of the N170 component of event-related potentials to orthographic forms and other visual stimuli, serves as the neural basis for efficient visual word reading.
Tongjie Zhuang, Yaowen Li, Yufei Tan, Jiuju Wang, Xiuyue Yue, Licheng Xue, Jing Zhao, Jing Zhao   +7 more
doaj   +1 more source

Fine-tuning of integrin activation [PDF]

Blood, 2016
In this issue of Blood , [Block et al][1] demonstrate that G protein β subunit (Gβ) isoforms are indispensable for chemokine-induced lymphocyte function-associated antigen 1 (LFA-1) integrin activation and neutrophil arrest mediated by Ras-related C3 botulinum toxin substrate 1 (Rac1 ...
openaire   +2 more sources

Fine-tuning Large Language Models for Chemical Text Mining

Extracting knowledge from complex and diverse chemical texts is a pivotal task for both experimental and computational chemists. The task is still considered to be extremely challenging due to the complexity of the chemical language and scientific ...
Yitian, Wang, Duanhua, Cao, Runze, Zhang, Qinggong, Wang, Buying, Niu, Mingan, Chen, Ziming, Huang, Lehan, Zhang, Xutong, Li, Qian, Shi, Shengkun, Ni, Zunyun, Fu, Jiacheng, Xiong, Mingyue, Zheng, Zhaoping, Xiong, Xiangtai, Kong, Wei, Zhang   +16 more
core   +1 more source

Composition‐Tuned Enhancement of the Anomalous Nernst Effect in FeCo–Pt Thin Films on Rigid and Flexible Substrates

Advanced Engineering Materials, EarlyView.
Disordered (Fe50Co50)1−xPtx thin films exhibit a pronounced anomalous Nernst effect (ANE) with a strong composition dependence on both rigid and flexible substrates. The transverse thermoelectric response peaks near 22.5 at.% Pt, accompanied by enhanced αxy/σxy scaling, thermal transport, and ANE sensitivity.
Mojtaba Mohammadi, Hiroyuki Awano, Kenji Tanabe   +2 more
wiley   +1 more source