Key computational modeling issues in Integrated Computational Materials Engineering. - Jitesh H. Panchal; Surya R. Kalidindi; David L. McDowell (Comput. Aided Des., 2013)

Data-driven reduced order models for effective yield strength and partitioning of strain in multiphase materials. - Marat I. Latypov; Surya R. Kalidindi (J. Comput. Phys., 2017)

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. - Zijiang Yang 008; Reda Al-Bahrani; Andrew C. E. Reid; Stefanos Papanikolaou; Surya R. Kalidindi; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2019)

Materials informatics. - Seeram Ramakrishna; Tong-Yi Zhang; Wen-Cong Lu; Quan Qian; Jonathan Sze Choong Low; Jeremy Heiarii Ronald Yune; Daren Zong Loong Tan; Stéphane Bressan; Stefano Sanvito; Surya R. Kalidindi (J. Intell. Manuf., 2019)

Recurrent Localization Networks applied to the Lippmann-Schwinger Equation. - Conlain Kelly; Surya R. Kalidindi (CoRR, 2021)

Harvesting data revolution for transmission electron microscopy (TEM) using signal processing. - Shixiang Zhu; Sven P. Voigt; Henry Shaowu Yuchi; Jordan Key; Yao Xie 002; Josh Kacher; Surya R. Kalidindi (CoRR, 2021)

Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN). - Prathik R. Kaundinya; Kamal Choudhary; Surya R. Kalidindi (CoRR, 2022)

In Situ Transmission Electron Microscopy: Signal processing challenges and examples. - Josh Kacher; Yao Xie 002; Sven P. Voigt; Shixiang Zhu; Henry Shaowu Yuchi; Jordan Key; Surya R. Kalidindi (IEEE Signal Process. Mag., 2022)

Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization. - Conlain Kelly; Surya R. Kalidindi (CoRR, 2024)

Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport. - Adam P. Generale; Andreas E. Robertson; Surya R. Kalidindi (CoRR, 2024)

Sequential Designs for Filling Output Spaces. - Shangkun Wang; Adam P. Generale; Surya R. Kalidindi; V. Roshan Joseph (Technometrics, 2024)

Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approach. - Pranoy Ray; Adam P. Generale; Nikhith Vankireddy; Yuichiro Asoma; Masataka Nakauchi; Haein Lee; Katsuhisa Yoshida; Yoshishige Okuno; Surya R. Kalidindi (CoRR, 2025)

Reduced-order structure-property linkages for stochastic metamaterials. - Hooman Danesh; Maruthi Annamaraju; Tim Brepols; Stefanie Reese; Surya R. Kalidindi (CoRR, 2025)

PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure. - Michael Buzzy; Andreas E. Robertson; Peng Chen; Surya R. Kalidindi (CoRR, 2025)