Abstract: ccurate prediction of winding insulation degradation path is critical for preventing catastrophic equipment failures and optimizing maintenance schedules in electric motors (EMs). Existing ...
The published wheels are currently not built with LAMMPS. Thus, running multiscale simulations with molecular dynamics is not possible with this quick installation. For the full functionality it is ...
In the Budget section of your application in the Grants and Contributions Online System (GCOS) portal, you will be prompted to click on a link that will take you to the Enabling Accessibility Fund ...
Researchers in Japan have developed an adaptive motion reproduction system that allows robots to generate human-like movements using surprisingly small amounts of training data. Despite rapid advances ...
This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
School of Materials Science and Engineering, Beihang University, Beijing 100191, China State Key Laboratory of Artificial Intelligence for Materials Science, Beihang University, Beijing 100091, China ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
Step-by-step process tutorial on how to draw superheroes—from sketching dynamic poses to adding powerful details and bold costumes for iconic characters. Illegal immigration under Trump and Biden: ...
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