Machine learning offers faster, more reliable analysis of Fermi surfaces in search of spintronic materials

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...
EurekAlert!

How an algorithm is curing 3D printing’s cracking problem

In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...
News Medical

Interpretable machine learning model advances analysis of complex genetic traits

Further simulations show that machine learning models can automatically capture non-additive effects and multi-locus interactions without explicitly specifying interaction terms, thereby improving the ...
GitHub

MLIP (Machine Learning Interatomic Potential) plugins for Gaussian 16 External interface.

All backends provide energy, gradient, and analytical Hessian for Gaussian 16. An optional implicit-solvent correction (xTB) is also available via --solvent. The model server starts automatically and ...
IEEE

Learning-Based Model Predictive Control With High-Probability Safety Using Gaussian Mixture Models

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Scientific Research Publishing

Rasmussen, C.E. and Williams, C.K.I. (2005) Gaussian Processes for Machine Learning. The MIT Press.

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 ...