By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
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Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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