The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, ...
Abstract: Machine Learning (ML) techniques have been successfully used in many areas of High Energy Physics (HEP) and will play a significant role in the success of upcoming High-Luminosity Large ...
If you have ever wished your trusty notebook could sync with the digital world, reMarkable has come up with a tempting answer. The company, known for its distraction-free e-paper tablets, has shrunk ...
(a) SA-Radar enables controllable and realistic radar simulation by conditioning on customizable radar attributes. It supports flexible scene editing such as attribute modification, actor removal, and ...
MKDPINN is a novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code ...
Abstract: The complex degradation kinetics and inconsistency of decay paths in in-service lithium-ion batteries (LIBs) significantly affect the health management capabilities of battery management ...
Entering her first year of teaching as a graduate assistant at Bowling Green State University, Sydney Koeplin had more on her mind than how to relate to her students. She was worried about how to deal ...
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