Embracing Uncertainty For Stronger Engineering Systems | School of Mechanical, Aerospace, and Manufacturing Engineering | College of Engineering | University of Connecticut
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by Claire Galvin
Many real-world systems—from materials to infrastructure—contain a mix of order and randomness, a concept known as stochasticity
Students and faculty involved in the stochasticity research (Contributed photo).
A few years after receiving the National Science Foundation Early CAREER Award, UConn College of Engineering Assistant Professor Hongyi Xu is demonstrating how embracing uncertainty can lead to stronger, smarter engineering systems.
Xu’s research focuses on a simple, but challenging, fact, which is that not everything in engineering is perfectly uniform. Many real-world materials contain a mix of order and randomness, a concept known as stochasticity. Rather than designing around that uncertainty, Xu has developed new computational tools that allow engineers to use it intentionally, and combine it seamlessly with ordered materials.
Read more in the
UConn Today article
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