Richard Hennig, Ph.D.

How Richard Hennig and AI are Accelerating the Superconductor Revolution 

March 25, 2025

Researchers at the University of Florida’s Department of Materials Science & Engineering have developed a machine-learning framework that could revolutionize the way high-temperature superconductors are discovered.  Superconductors are materials capable of conducting electricity without resistance, a property that could transform energy transmission, transportation, and medical technologies. However, finding new superconductors has been a slow, expensive […]

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Nancy Ruzycki, Ph.D.

From Inspiration to Achievement

December 6, 2023

Nancy Ruzycki’s Summer Science Camps Continue to Empower Young Scientists Artificial Intelligence (AI) is a rapidly advancing technology with rapidly expanding applications in the workforce. Currently, however, there is a shortage of materials for both teaching and learning AI.  To address this gap, in 2022, Nancy Ruzycki, Ph.D., an instructional associate professor in the Department […]

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Richard Hennig, Ph.D.

Utilizing AI to Discover Faster Paths to New Materials

November 17, 2021

Using various methods of advanced processing to manipulate the structure of materials is a universal approach in materials science. It’s how we discover the new materials essential to developing tomorrow’s technologies. In the past, researchers accomplished this through the use of time-intensive costly experimentation. Richard Hennig, Ph.D., Alumni Professor of Materials Science & Engineering at […]

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Tori Miller, Ph.D.

Miller Receives Prestigious NSF CAREER Award

March 10, 2021

Tori Miller, Ph.D., assistant professor in the Department of Materials Science & Engineering at the University of Florida, has been named a National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program Award winner. Her research will utilize statistical methods and machine learning to investigate the micro-scale structure of materials during manufacture. “When metals are […]

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Amanda Krause, Ph.D.

NSF Award Helps UF Engineer Bring Cutting Edge 3D X-Ray Microscope System to UF

November 13, 2020

Amanda Krause, Ph.D., assistant professor in the UF Department of Materials Science & Engineering, is employing artificial intelligence methods to track and catalogue data for her abnormal grain growth research, and thanks to new a $1.2 million research award from the National Science Foundation’s (NSF) Major Research Instrumentation (MRI) program, she will bring a cutting-edge, […]

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Amanda Krause, Ph.D.

Can Artificial Intelligence Create Better Ceramic Components?

December 3, 2019

Ceramics have been used for everything from wall tiles and glassware to artificial hip joints, cruise missiles and the thermal tiles for NASA’s space shuttle. It should come as no surprise, as a long list of benefits including low electrical conductivity, high melting points and exceptional resistance to chemicals make ceramic materials ideally suited for […]

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