1824-stinvilleresearch

New publication details a novel ML-based method for accelerated mechanical properties prediction from encoding and mapping metal plasticity. Encoding metal plasticity captured from high-resolution digital image correlation (DIC) can be leveraged to predict a wide range of monotonic and cyclic macroscopic properties of metallic materials. To capture the spatial heterogeneity of plasticity that develops in …

Plasticity Encoding for Accelerated Mechanical Properties Prediction Read More »

New publication details a novel method for accelerated mechanical properties prediction! We developed a method that integrates additively manufactured functionally graded materials, automated high resolution measurements, and leverage fundamental relationships between local plasticity and macroscopic properties to rapidly predict the fatigue strength of metallic materials. Recent improvements in additive manufacturing and high-throughput material synthesis have …

High-throughput Prediction of Metal Fatigue Strength Read More »

The group published a new study in materials informatics, introducing a machine learning encoding approach for automatically identifying metal microstructures. This advancement paves the way for autonomous metal characterization. Article: https://arxiv.org/abs/2501.18064 Abstract: To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced representation of metal …

Learning Metal Microstructure through AI Read More »

Explore our group’s latest publication in Acta Materialia, led by Dhruv Anjaria. Our research focuses on the plasticity of a FCC material at cryogenic temperatures (liquid nitrogen and helium temperatures). We discovered a novel deformation mechanism where deformation twinning and slip compete, causing the delocalization of plastic deformation, which impacts the properties of metallic materials …

Plastic deformation at cryogenic temperatures Read More »

Check out our latest publication in Acta Materialia: https://lnkd.in/gNftY7e6 Utilizing high-temperature, high-resolution digital image correlation, we’ve been able to observe the temperature-dependence of plastic localization at the nanoscale across a wide field of view. This approach has led to a deeper understanding of the microstructure-dependence of diffusion creep (Coble creep) phenomena during the deformation of …

Plastic localization at High Temperature Read More »