Results 131 to 140 of about 59,845 (265)
Machine Learning-Based Composition Design of Functionally Graded Alloys. [PDF]
Yu Y, Wang Y, Zhao P, Zhang B, Huang Y.
europepmc +1 more source
Braze welding of Dissimilar Materials
Zbigniew Mirski +2 more
openaire +2 more sources
ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
Surface Microstructure Regulation via Femtosecond Laser for Enhancing Laser Welding Strength of PVC/PA66: Mechanisms and Optimal Parameters. [PDF]
Zhai K +8 more
europepmc +1 more source
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Microjoining for biomedical device fabrication: a perspective. [PDF]
Zhang K, Zhou YN, Peng P.
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Progress and Challenges in Joining for Precision Endoscope Fabrication. [PDF]
Xu P, Zheng X, Li L, Wang Z.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Taguchi Optimization of Microstructure and Mechanical Properties in Dissimilar TIG Welding of AISI 304 L-409 M Stainless Steel. [PDF]
Ghosh N, Roy A.
europepmc +1 more source

