Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...
In the quest for stronger, more resilient buildings and infrastructure, engineers are turning to innovative solutions, such as concrete-filled steel tube columns (CFST) strengthened with carbon ...
A newly developed machine learning model makes reliable strength predictions in carbon fiber-reinforced steel columns, according to a news release by Seoul National University of Science & Technology.
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
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Machine learning workflow enables faster, more reliable organic crystal structure prediction
To address these challenges, Associate Professor Takuya Taniguchi from the Center for Data Science and Ryo Fukasawa from Graduate School of Advanced Science and Engineering at Waseda University, Japan ...
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 ...
Dr Michael Chen, CEO and co‑founder of Nuclera, said: “Scientists are under pressure to progress increasingly complex membrane protein programs faster. By partnering with leadXpro, we can pair ...
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Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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