Results 241 to 250 of about 4,877,486 (368)
Technical reviewers for Nuclear Engineering and Technology, 2022
doaj +1 more source
Cancer-associated SPOP mutations enlarge nuclear size and facilitate nuclear envelope rupture upon farnesyltransferase inhibitor treatment. [PDF]
Wang Z+14 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Technical reviewers for Nuclear Engineering and Technology, 2023
doaj +1 more source
A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment. [PDF]
Li W+9 more
europepmc +1 more source
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
Grand Challenges in Nuclear Engineering
openaire +1 more source