Tootfinder

Oh dear -- within a day of hearing about this from another professor, I got my first LLM-generated email from an aspiring grad student. It mischaracterized my research (apparently I write lots of mathematical formulas, ha!) and ascribed papers to me that I never wrote, which are basically remixes of common words in my paper titles. If you do this, you will insult the people you want to impress.

A visco-plastic constitutive model for accurate densification and shape predictions in powder metallurgy hot isostatic pressing
Subrato Sarkar, Jason R Mayeur, KPK Ajjarapu, Fred A List III, Soumya Nag, Ryan R Dehoff
https://arxiv.org/abs/2506.11946

A visco-plastic constitutive model for accurate densification and shape predictions in powder metallurgy hot isostatic pressing
Powder metallurgy hot isostatic pressing (PM-HIP) is an advanced manufacturing process that produces near net shape parts with high material utilization and uniform microstructures. Despite being used frequently to produce small-scale components, the application of PM-HIP to large-scale components is limited due to inadequate understanding of its complex mechanisms that cause unpredictable post-HIP shape distortions. A computational model can provide necessary information about the intermediate…

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Shahab Azarfar, Joseph B. Choi, Phong CH. Nguyen, Yen T. Nguyen, Pradeep Seshadri, H. S. Udaykumar, Stephen Baek
https://arxiv.org/abs/2506.12996

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Coupling of physics across length and time scales plays an important role in the response of microstructured materials to external loads. In a multi-scale framework, unresolved (subgrid) meso-scale dynamics is upscaled to the homogenized (macro-scale) representation of the heterogeneous material through closure models. Deep learning models trained using meso-scale simulation data are now a popular route to assimilate such closure laws. However, meso-scale simulations are computationally taxing,…