Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

When asked to think of a chemical reaction, you might picture bubbling liquids in a beaker, or maybe applying heat to a ...

The Python package PhaseFieldX, developed by researcher Miguel Castillón at IMDEA Materials Institute, has been published in ...

A new study led by Freie Universität Berlin physicist and recently published in Nature Chemistry opens up, among other things ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.

While the open-source Seismometer tool does not provide ROI metrics, it can surface insights on an algorithm's quality and utility, say early users at Michigan Medicine.

Data-based discovery of the underlying dynamics of nonlinear systems is of great importance to the prediction and control of engineering systems. This article presents a duplex neurodynamic learning ...

This paper proposes a new physics-guided machine learning approach that incorporates the scientific knowledge in physics-based models into machine learning models. Physics-based models are widely used ...