3 papers
cs.AI2026
Which alloy composition,what process parameters? Inferring the recipe from optimized metallic microstructure and texture
Mahish K. Guru, Jan Bohlen, Louam Lemjid +3
The mechanical properties of a metallic alloy are set by its microstructure and texture: the size and shape of its grains and the orientation of their crystals. That structure is i…
cs.AI2026
Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design
Mahish K. Guru, Mayank Nagar, Ayush vyas +3
Inverse design of physical systems (molecules, devices, microstructures) often reduces to optimizing a high-dimensional structure against an expensive black-box simulator. Direct s…
cs.GR2026
GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement
Kartik Bali, Mahish K. Guru, Christian J Cyron +1
Adaptive volumetric finite element meshing traditionally requires iterative PDE solvers or heavily supervised, data-driven surrogates trained on large-scale simulation data. This w…