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
CEHD: A Unified Framework for Detection and Height Estimation of Fresh Corn Ears in Field Conditions. [PDF]
Wang H, Li Y, Fu J, Fu Q, Qiao Y.
europepmc +1 more source
DIMENSIONAL ADAPTIVE S-BOX (1D/2D) GENERATION FOR VARIABLE-SIZED MEDIA ENCRYPTION
Firas Abdulla Mahmood, Auday H.AL-Wattar
openalex +1 more source
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
The fractal characteristics of cement-based materials with grinding aid via BSE image analysis. [PDF]
Wang C, Wang Y, Pan Y.
europepmc +1 more source
The study investigates novel semi‐finished products made of unidirectionally arranged hemp or pineapple leaf fiber‐reinforced composites produced from different matrices. The materials are analyzed in terms of their mechanical and interfacial properties and void content.
Nina Graupner +22 more
wiley +1 more source
AE-YOLO: Research and Application of the YOLOv11-Based Lightweight Improved Model in Photovoltaic Panel Surface Intelligent Defect Detection. [PDF]
Zheng B, Yang Y.
europepmc +1 more source
Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study
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
YOLOv11-GLIDE: An Improved YOLOv11n Student Behavior Detection Algorithm Based on Scale-Based Dynamic Loss and Channel Prior Convolutional Attention. [PDF]
Wang H +6 more
europepmc +1 more source

