New machine learning tool reveals atomic structure of ultra-thin film materials by Paris Carter, Brookhaven National Laboratory edited by Lisa Lock, reviewed by Andrew Zinin Editors' notes ...

Lenz Fiedler, a Ph.D. student and key developer of MALA at CASUS, explains, "MALA integrates machine learning with physics-based approaches to predict the electronic structure of materials.

A new machine-learning approach assesses the accuracy of structural models of RNA molecules. From a training set of known RNA structures, the algorithm learns the characteristic features of RNA ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods. ML-based ...

This twisting protein structure is one of hundreds dreamed up by a machine-learning algorithm [Ian C. Haydon/UW Medicine Institute for Protein Design] Proteins spontaneously fold into intricate ...

Scientists are now putting their machine-learning algorithm to work surveying the infamous COVID-19 spike protein, which latches onto human cell receptors and allows the virus to invade.

Machine-learning model helps determine protein structures New technique reveals many possible conformations that a protein may take Date: February 4, 2021 Source: Massachusetts Institute of ...

A machine learning approach could allow computers to determine the electronic structure of molecules without having to use the most resource-intensive equations of density functional theory, new ...