Back in the old days—the really old days—the task of designing materials was laborious. Investigators, over the course of ...

In this paper, we review different approaches to applying supervised and unsupervised learning techniques to nuclear DFT. Predicting all the properties of every atomic nucleus in the nuclear chart, ...

Here, the authors proposed a new hybrid multi configuration density functional theory method that is shown to give satisfactory results for general purpose.

Brain functional state estimation based on deep learning is an intelligent information processing approach to analyze brain imaging data and reveal the activity patterns of the brain under different ...

In this article, we provide a response to the article published in Language Magazine on Oct. 2, 2024, in which authors ...

An electronic structure package based on either plane wave basis or numerical atomic orbitals.

The global climate crisis, driven by the depletion of fossil fuels and rising atmospheric CO2 levels, has intensified the ...

Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca, 37008 Salamanca, ...

An international team has combined organic synthesis with predictive models to discover new functional materials that enhance ...

The Joint Entrance Examination (Main) or JEE Main is the engineering competitive exam attempted by 12th pass students who had ...

Conventional electronics based on silicon are approaching their limits in terms of performance and scalability. In recent ...