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KAIST researchers have developed an innovative photodetector capable of detecting a broad range of mid-infrared spectra, ...
A new article puts artificial intelligence and machine learning on the task of finding new, powerful electrolytes for designing next-generation batteries for electric vehicles, phones, laptops and ...
A collaborative research team from the Hong Kong University of Science and Technology (HKUST) and the Hong Kong Polytechnic ...
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Tech Xplore on MSNA big data approach for next-generation battery electrolytesDiscovering new, powerful electrolytes is one of the major bottlenecks in designing next-generation batteries for electric ...
Atomically thin chromium selenide shows unexpected magnetism, challenging theory and opening new paths for spintronics and ...
The rules about magnetic order may need to be rewritten. Researchers have discovered that chromium selenide (Cr₂Se₃) - ...
Dean’s Honored Graduates for the class of 2025 in the College of Natural Sciences at The University of Texas at Austin ...
This valuable study presents an analysis of evolutionary conservation in intrinsically disordered regions, identified as key drivers of phase separation, leveraging a protein language model. The ...
A new AI-driven framework from UChicago identifies high-performance battery electrolytes, optimizing ionic conductivity, ...
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Interesting Engineering on MSNNext-gen EV batteries use solid electrolytes to double lithium cell range, lifeA research team from the U.S. has developed an artificial intelligence-based framework that can potentially speed up the ...
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The Cool Down on MSNTech company unveils energy breakthrough that could cut home costs for millions: 'The ... economics of this are very compelling'Marlborough, Massachusetts, startup XL Batteries has made an organic flow battery that can rival lithium-ion packs for ...
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