this post was submitted on 07 Jul 2023
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Futurology

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A Kbin community for discussing and sharing visions of the future, from science fiction to realistic predictions. Explore the possibilities and challenges of emerging technologies, social changes, environmental issues, and more. Join us in imagining the future and shaping it together.

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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 of a simulation technique that offers both high fidelity and scalability across different time and length scales has long been a roadblock for the progress of these technologies. Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA) software stack enables access to previously unattainable length scales.

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