When creating new materials for our modern needs, materials science engineers face a basic problem: Designing it to be strong when faced with loads in one direction may lead to structural weaknesses when facing stress from a different direction.
Binghamton University Assistant Professors Mir Jalil Razavi and Dehao Liu want to develop a solution using artificial intelligence and machine learning to suggest unique types of composite materials that meet specific mechanical behavior […]
Machine learning to 'reverse-engineer' new composite materials | Binghamton News
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