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Dr Michael Falk, professor of Materials Science and Engineering, Mechanical Engineering, and Physics at Johns Hopkins University, talks to Nature Computational Science about his academic training at the intersection of physics and computer science, his research in condensed-matter physics, as well as his experience in improving diversity and inclusion in the physics research community.
Even though Nature Computational Science is a computational-focused journal, some studies submitted to our journal might require experimental validation in order to verify the reported results and to demonstrate the usefulness of the proposed methods.
As artificial intelligence (AI) proliferates, synthetic chemistry stands to benefit from its progress. Despite hidden variables and ‘unknown unknowns’ in datasets that may impede the realization of a digital twin for the laboratory flask, there are many opportunities to leverage AI and large datasets to advance synthesis science.
Materials design has largely expanded to multiple compositions, which requires the mixing of an increasing number of elements. In this joint Focus issue with Nature Materials, we take a closer look at the role of computational methods for guiding exploration within such vast chemical spaces.
Dr Núria López-Bigas, ICREA Research Professor and group leader in biomedical genomics at the Institute for Research in Biomedicine, discusses with Nature Computational Science about her research on cancer genomics.
Dr Valentino Cooper, a Distinguished R&D Staff Member at Oak Ridge National Laboratory, talks to Nature Computational Science about his research on density functional theory and on designing high-entropy materials and piezoelectrics.