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Machine learning aids in materials design
Source – https://phys.org/ A long-held goal by chemists across many industries, including energy, pharmaceuticals, energetics, food additives and organic semiconductors, is to imagine the chemical structure of Read More
Smart materials could pose solution for big-data bottleneck in future cities
Source – https://news.psu.edu/ UNIVERSITY PARK, Pa. — In smart cities of the future, sensors distributed throughout buildings and bridges could monitor infrastructure health. Cloud-based computing could decrease Read More
Machine learning reveals new candidate materials for biocompatible electronics
Source: phys.org Scientists and engineers are on a quest to develop electronic devices that are compatible with our bodies: think of materials that can help wire neurons Read More
Using Transfer Learning to Overcome the Barriers Facing Machine Learning in Materials Science
Source: allaboutcircuits.com Machine learning’s ability to perform intellectually demanding tasks across various fields, materials science included, has caused it to receive considerable attention. Many believe that it Read More