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IIT-G develops ML method to design advanced alloys without critical raw materials
IIT Guwahati researchers, with UK collaborators, have used Machine Learning to design advanced, high-performance metal alloys without relying on Critical Raw Materials (CRMs), creating a sustainable ...
2d
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 developed a new, open-access and machine learning-assisted design tool aimed at ...
Abstract: Axial flux machines (AFMs) have huge potential in direct-drive operations such as in-wheel drive operation due to the characteristics of high torque density and short axial length. However, ...
Abstract: Reconfigurable intelligent surfaces (RISs) are developing rapidly nowadays and considered as a key technology for next-generation communications. However, when designing RISs with wideband ...
Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection.
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