A nested, formula-grouped machine learning study of 105 transition metal carbides finds that composition and elemental ...
Rosalind Franklin's pioneering research, Oxford chemists describe how disordered carbon forms, atom by atom.75 years after Rosalind ...
Oxford chemists used machine learning-driven atomistic simulations to show how the polymer PVDC breaks down into hard carbon, ...
In a new study published in Chemical Science, researchers from the University of Oxford's Department of Chemistry have used ...
Human Rights Watch has documented key findings in its investigative feature, A Strategy of Death. Here, we illustrate how the ...
Maintaining an appropriate fruit load is essential for balancing yield and quality in pear production, yet growers still rely ...
As noted in the United States Citizenship and Immigration Services’ (USCIS) superintelligence use case inventory, USCIS currently uses a variety ...
University of Liverpool spin-out Matter Machine has raised £4m in pre-Series A funding led by IP Group to develop its AI-powered materials discovery platform. ETIH covers the investment, Oxford Nanopo ...
Columbia researchers have identified lithium-ion clusters in battery electrolytes, offering insights that could guide the ...
Research by Columbia University faculty in the Arts and Sciences and the School of Engineering and Applied Science has ...
Here we introduce a methodology combining astrochemical simulation experiments with machine learning techniques ...
Diamond-hosted majoritic garnet inclusions provide unique insights into the Earth's deep, and otherwise inaccessible, mantle. Compared with other types of mineral inclusions found in sub-lithospheric ...
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