Surya R. Kalidindi

According to our database, Surya R. Kalidindi authored at least 16 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching.

Adam P. Generale, Andreas E. Robertson, Surya R. Kalidindi

Trans. Mach. Learn. Res., 2026

2025

Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys.

Nicolas Flores, Daniel Salas Mula, Wenle Xu, Sahu Bibhu, Daniel Lewis, Alexandra Eve Salinas, Samantha Mitra, Raj Mahat, Surya R. Kalidindi, Justin Wilkerson, James Paramore, Ankit Srivastiva, George Pharr, Douglas L. Allaire, Ibrahim Karaman, Brady Butler, Vahid Attari, Raymundo Arróyave

CoRR, August, 2025

PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure.

Michael Buzzy, Andreas E. Robertson, Peng Chen, Surya R. Kalidindi

CoRR, June, 2025

Reduced-order structure-property linkages for stochastic metamaterials.

Hooman Danesh, Maruthi Annamaraju, Tim Brepols, Stefanie Reese, Surya R. Kalidindi

CoRR, May, 2025

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, January, 2025

2024

Sequential Designs for Filling Output Spaces.

Shangkun Wang, Adam P. Generale, Surya R. Kalidindi, V. Roshan Joseph

Technometrics, 2024

Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport.

Adam P. Generale, Andreas E. Robertson, Surya R. Kalidindi

CoRR, 2024

Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization.

Conlain Kelly, Surya R. Kalidindi

CoRR, 2024

2022

In Situ Transmission Electron Microscopy: Signal processing challenges and examples.

Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi

IEEE Signal Process. Mag., 2022

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

2021

Harvesting data revolution for transmission electron microscopy (TEM) using signal processing.

Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi

CoRR, 2021

Recurrent Localization Networks applied to the Lippmann-Schwinger Equation.

Conlain Kelly, Surya R. Kalidindi

CoRR, 2021

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

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics.

Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

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

2013

Key computational modeling issues in Integrated Computational Materials Engineering.

Jitesh H. Panchal, Surya R. Kalidindi, David L. McDowell

Comput. Aided Des., 2013