Oct 10, 2022 | No Comments | By Salena Fitzgerald
KT Ramesh, the Alonzo G. Decker Professor of Science and Engineering and director of HEMI, recently co-chaired the final technical review of Materials in Extreme Dynamic Environments and Artificial Intelligence for Materials (MEDE+ AI-M) projects.
These projects and their principal investigators include:
- Using artificial intelligence to accelerate the iterative materials design cycle by high-throughput microstructural characterization and rapid processing (Mark Foster, associate professor of electrical and computer engineering;)
- Acoustic signature and reconstruction of defect avalanches in metals (Jaafar El-Awady, associate professor of mechanical engineering;)
- Real-time monitoring of laser-material interactions (Steven Storck, Senior Materials Scientist at the Johns Hopkins University Applied Physics Laboratory;)
- Toward self-repairing devices: Data-directed design of active, hierarchical colloidal assembly and reconfiguration (Rebecca Schulman, associate professor of chemical and biomolecular engineering.)
Researchers involved with each project used AI or machine learning (ML) techniques to examine a particular material and then compare their results with those obtained using traditional methods. Initial results show that AI/ML techniques can be used to predict select material behavior and characteristics. These initial discoveries are expected to lead to future opportunities as HEMI researchers advance the science in this field.
The MEDE+ AI-M projects were funded by a cooperative agreement with the DEVCOM Army Research Laboratory which facilitated collaboration. These projects accelerate material development for the Army’s emerging needs and demonstrate HEMI’s continued partnership with DEVCOM ARL.
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