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Machine Learning Accelerates Discovery of Optimal Perovskites for Solar Energy - Vimarsana News

Machine Learning Accelerates Discovery of Optimal Perovskites for Solar Energy

Researchers from the Swiss Federal Institute of Technology Lausanne discovered perovskites with the perfect band gap for solar applications. Scientists found around 14 new solar cell materials by inculcating a machine-learning program, an advanced version of Density Functional Theory

Source: azom.com
Machine learning accelerates discovery of solar-cell perovskites - Vimarsana News

Machine learning accelerates discovery of solar-cell perovskites

An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells.

Source: phys.org
IIT Ropar's Director among top five materials Science scientists in India and Sweden – Rashtra News - Vimarsana News

IIT Ropar's Director among top five materials Science scientists in India and Sweden – Rashtra News

IIT Ropar’s Director among top five materials Science scientists in India and Sweden - Rashtra News : Rashtra News #IIT #Ropars #Director #among #top #materials #Science #scientists #India #Sweden #Times #India The Rashtra News Education is a leading source that provides the reliable and latest news on education and jobs. Get the breaking news on

Magnetic with a pinch of hydrogen - Vimarsana News

Magnetic with a pinch of hydrogen

Magnetic two-dimensional materials consisting of one or a few atomic layers have only recently become known and promise interesting applications, for example for the electronics of the future. So ...

A "gold standard" for computational materials science codes - Vimarsana News

A "gold standard" for computational materials science codes

Physicists and materials scientists can choose from a whole family of computer codes that simulate the behavior of materials and predict their properties. The accuracy of the results obtained by t ...