Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection ...
In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...
Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...
University of Toronto researchers have developed a new computational method to study how chromosomes within human cells are organized. The method could help advance precision medicine by shedding ...
UB materials scientist Amit Goyal recently served as guest editor for the National Academy of Engineering’s fall edition of The Bridge, a special issue of the magazine focusing on the Materials Genome ...
December 15, 2025) Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St ...
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