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Efficient discovery of improved energy materials by a new AI-guided workflow - These can help alleviate the ongoing energy crisis

Scientists of the NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society recently proposed a workflow that can dramatically accelerate the search for novel materials with improved ...
Thomas Purcell Fritz Haber Institute Max Planck Society Computational Materials Artificial Intelligence Debye Temperature

Machine learning takes materials modeling into new era - Deep learning approach enables accurate electronic structure calculations at large scales

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack o ...
Lenz Fiedler Attila Cangi Siva Rajamanickam Nvidia Corp Carolinaat State University Department Head Of Matter Under Extreme Conditions

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