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An article in Nature Computational Science reports a recommender system that can identify promising compositions for high-entropy alloys based on information available in existing databases.
An article in ACS Nano reports the design of polymer nanoparticles for the delivery of antiviral therapies across the blood–brain barrier to target HIV in the brain.
The experiences of Black scientists and engineers reveal that science is not a meritocracy. Here is a list of recommendations to combat anti-Black racism in academic institutions.
Machine learning holds great potential to accelerate materials research. Many domains in materials science are benefiting from its application, but several challenges persist, and it remains to be seen whether the field will live up to the hype that surrounds it.
Computational sustainability harnesses computing and artificial intelligence for human well-being and the protection of our planet. Materials science is central to many sustainability challenges. Exploiting synergies between computational sustainability and materials science advances both fields, furthering the ultimate goal of establishing a sustainable future.
Good mental health and wellbeing of research staff and students lead to better science: it is time to reflect on what we can do as team leaders to create a positive research culture.
An article in npj Computational Materials reports a deep-learning workflow for the analysis of microscopy images that can adapt to changing conditions.
An article in Nature Chemistry uses the knowledge gathered in the Cambridge Structural Database to build a machine-learning model that predicts the oxidation states of metal–organic frameworks.
Google Applied Science is a division of Google Research that applies computational methods, and in particular machine learning, to a broad range of scientific problems. Patrick Riley, until recently one of their software engineers and now head of artificial intelligence at Relay Therapeutics, talks to Nature Reviews Materials about his experience working on machine-learning projects in an industrial setting.
Science has a diversity and racism problem, which can only be addressed by changing our traditional academic practices — this also includes the way we handle and promote scientific articles.
An article in Nature Communications reports a method for the rapid detection of SARS-CoV-2 in saliva samples using nanopores and a machine learning algorithm.
An article in the Journal of the American Chemical Society reports the large-scale synthesis of an elongated carbon nanobelt with unusual host-guest behaviour.
An article in Nature Biomedical Engineering reports that softening the surface of silicone implants prevents the foreign body response and thus fibrotic encapsulation of the material.
The defossilization of our economy requires that materials for renewable energy conversion technologies are themselves green, renewable and circular. To this end, components such as batteries, electronic devices and electric motors should be recycled and regenerated, and produced solely from secondary raw materials.
Meeting global emission reduction goals will require the large-scale deployment of renewable energy infrastructure and electric vehicles. Ensuring a fair and sustainable supply of the required critical primary and secondary raw materials will be essential to a greener future.
An article in Advanced Materials reports a computational and experimental approach to better understand solid-state ceramic reactions and design more efficient syntheses.
