Spin density symmetry breaking in single-atom catalysts can significantly enhance the performance of hydrogen evolution ...
A research team led by Prof. Zhonghua Li from Harbin Institute of Technology has discovered how spin density symmetry breaking in single-atom ...
6don MSN
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have ...
Tech Xplore on MSN
'Discovery learning' AI tool predicts battery cycle life with just a few days' data
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...
Satellites and spacecraft in the vast region between Earth and the moon and just beyond—called cislunar space—are crucial for ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
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