5 citations · 7 across the 4 of their papers we have counts for
5 papers
Fracture-Bench: A Controlled Benchmark Suite for Machine Learning Surrogates in Phase-Field Fracture Mechanics
Meenu Krishnan U., Maryam Hakimzadeh, Indrashish Saha +3
Machine-learning surrogates are increasingly proposed to replace phase-field fracture simulations in many-query tasks such as uncertainty quantification, inverse analysis and desig…
A Hybrid Conditional Diffusion-DeepONet Framework for High-Fidelity Stress Prediction in Hyperelastic Materials
Purna Vindhya Kota, Meer Mehran Rashid, Somdatta Goswami +1
Predicting stress fields in hyperelastic materials with complex microstructures remains challenging for traditional deep learning surrogates, which struggle to capture both sharp s…
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid +2
Continuous dynamical systems, characterized by differential equations, are ubiquitously used to model several important problems: plasma dynamics, flow through porous media, weathe…
Revealing the Predictive Power of Neural Operators for Strain Evolution in Digital Composites
Meer Mehran Rashid, Souvik Chakraborty, N. M. Anoop Krishnan
The demand for high-performance materials, along with advanced synthesis technologies such as additive manufacturing and 3D printing, has spurred the development of hierarchical co…
Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator
Meer Mehran Rashid, Tanu Pittie, Souvik Chakraborty +1
Increased demands for high-performance materials have led to advanced composite materials with complex hierarchical designs. However, designing a tailored material microstructure w…