Imagine a material that can cling firmly to wet surfaces, repair itself after being damaged and remain flexible under ...
Computers have made it easier than ever before to design the perfect material for a given problem: Scientists can create a ...
A team of scientists from Oak Ridge National Laboratory, Cleveland Clinic and IBM has calculated nine molecular ...
However, as load demands have grown, G120 has emerged as a superior alternative. The core distinction lies in the material composition and heat-treatment processes. G120 components, forged from ...
MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Abstract: Understanding the link between material composition and mechanical properties is crucial for material design and optimization. This study utilized four machine learning models—K-Nearest ...
Abstract: The standard test procedure for the thermal evaluation and qualification of electrical insulation systems (EISs) for random-wound ac electric machinery, where thermal degradation is the ...
KAPAR, Selangor – Under a cloudy sky in early April, five workers feed discarded Cookie Monster nappies into a machine to shred and recycle them. “This is the warm ‘popcorn’ for low-density ...
A comprehensive collection of Turkish creative writings from Bilkent University's Turkish 101 and Turkish 102 courses since 2014. This dataset contains 9,119 student writings originally created by ...
In materials discovery applications often we know the composition of trial materials but have little knowledge about the structure. Many current SOTA results within the field of machine learning for ...
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