Researchers have successfully transformed CO2 into methanol by shining sunlight on single atoms of copper deposited on a light-activated material, a discovery that paves the way for creating new green fuels.
Pairing cryptocurrency mining -- notable for its outsize consumption of carbon-based fuel -- with green hydrogen could provide the foundation for wider deployment of renewable energy, such as solar and wind power, according to a new study.
Engineers have discovered a new way to manufacture solar cells using perovskite semiconductors. It could lead to lower-cost, more efficient systems for powering homes, cars, boats and drones.
Scientists have demonstrated the selective conversion of carbon dioxide (CO2) into methanol using a cascade reaction strategy. The two-part process is powered by sunlight, occurs at room temperature and at ambient pressure, and employs a recyclable organic reagent that's similar to a catalyst found in
Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00021H, Communication Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. Kiyou Shibata, Teruyasu MizoguchiA message-passing neural network using a unit direction vector in addition to molecular graphs as the input satisfying invariance to space-inversion
Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00165B, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Nicholas R. Ellin, Yingchan Guo, Ramón Alain Miranda-Quintana, Boone M. PrenticeExtended similarity indices facilitate processing complex IMS data and quickly finding correlations between multiple
Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D3DD00238A, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. Martin Glauer, Fabian Neuhaus, Simon Flügel, Marie Wosny, Till Mossakowski, Adel Memariani, Johannes Schwerdt, Janna HastingsConnecting chemical structural representations with meaningful categories and semantic
Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00001C, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. Emil T. S. Kjær, Andy S. Anker, Andrea Kirsch, Joakim Lajer, Olivia Aalling-Frederiksen, Simon J. L. Billinge, Kirsten M. Ø. JensenWe present MLstructureMining, a
Digital Discovery, 2024, Advance ArticleDOI: 10.1039/D4DD00043A, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. Javier E. Alfonso-Ramos, Rebecca M. Neeser, Thijs StuyverIn this work, we explore how existing datasets of quantum chemical properties can be repurposed to build