首页|Research to use machine learning to ‘reverse-engineer’ new composite materials
Research to use machine learning to ‘reverse-engineer’ new composite materials
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – BINGHAMTON, N.Y. – 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 s tructural weaknesses when facing stress from a different direction. Binghamton University, State University of New York Assistant Professors Mir Jal il Razavi and Dehao Liu want to develop a solution using artificial intelligence and machine learning to suggest unique types of composite materials that meet s pecific mechanical behavior requirements. “When we look at materials now, we usually tune mechanical properties in one dir ection,” Razavi said. “For example, they can absorb the shock in ‘x’ direction, but they don’t pay attention to what will happen to the ‘y’ or ‘z’ direction. Wh ile we strengthen in one direction, maybe we’ll compromise their mechanical properties in the other directions.”
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