Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it demands advances—at the materials, devices and systems levels—for the efficient …
To close the gap between the rates of computational screening and experimental realization of novel materials,, we introduce the A-Lab, an autonomous laboratory for the solid-state …
Accelerating the discovery of new molecules and materials, as well as developing green and sustainable ways to synthesize them, will help to address global challenges in energy …
Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data …
J Yi, G Zhang, H Yu, H Yan - Nature Reviews Materials, 2024 - nature.com
The performance of organic solar cells (OSCs) has increased substantially over the past 10 years, owing to the development of various high-performance organic electron–acceptor …
Conspectus We must accelerate the pace at which we make technological advancements to address climate change and disease risks worldwide. This swifter pace of discovery requires …
As materials researchers increasingly embrace machine-learning (ML) methods, it is natural to wonder what lessons can be learned from other fields undergoing similar developments …
Many properties of nanoparticles are governed by their shape, size, polydispersity and surface chemistry. To apply nanoparticles in chemical sensing, medical diagnostics …
Technologies such as batteries, biomaterials and heterogeneous catalysts have functions that are defined by mixtures of molecular and mesoscale components. As yet, this multi …