3 papers
cond-mat.other2026
Machine learning enables roughness-driven inverse design of milling processes
Hadi Bakhshan, Sima Farshbaf, Fernando Rastellini +1
Interest in applying data-driven approaches in manufacturing has grown significantly, particularly for mapping complex, high-dimensional relationships. The milling process is one a…
cs.CE2026
An efficient open-source framework for high-fidelity 3D surface topography and roughness prediction in milling
Hadi Bakhshan, Sima Farshbaf, Adrián Travieso-Disotuar +3
With the emergence of data-driven approaches in science, there is growing interest in their application to manufacturing, particularly in surface precision engineering. However, ge…
cond-mat.mtrl-sci2026
AI Meets Plasticity: A Comprehensive Survey
Hadi Bakhshan, Sima Farshbaf, Junior Ramirez Machado +2
Artificial intelligence (AI) is rapidly emerging as a new paradigm of scientific discovery, namely data-driven science, across nearly all scientific disciplines. In materials scien…