Surya R. Kalidindi

15 papers B 1Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys.
CoRR
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
2025 J jnl
PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure.
CoRR
Michael Buzzy, Andreas E. Robertson, Peng Chen, Surya R. Kalidindi
2025 J jnl
Reduced-order structure-property linkages for stochastic metamaterials.
CoRR
Hooman Danesh, Maruthi Annamaraju, Tim Brepols, Stefanie Reese, Surya R. Kalidindi
2025 J jnl
Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approach.
CoRR
Pranoy Ray, Adam P. Generale, Nikhith Vankireddy, Yuichiro Asoma, Masataka Nakauchi, Haein Lee, Katsuhisa Yoshida, Yoshishige Okuno, Surya R. Kalidindi
2024 J jnl
Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport.
CoRR
Adam P. Generale, Andreas E. Robertson, Surya R. Kalidindi
2024 J jnl
Sequential Designs for Filling Output Spaces.
Technometrics
Shangkun Wang, Adam P. Generale, Surya R. Kalidindi, V. Roshan Joseph
2024 J jnl
Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization.
CoRR
Conlain Kelly, Surya R. Kalidindi
2022 J jnl
In Situ Transmission Electron Microscopy: Signal processing challenges and examples.
IEEE Signal Process. Mag.
Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi
2022 J jnl
Prediction of the electron density of states for crystalline compounds with Atomistic Line Graph Neural Networks (ALIGNN).
CoRR
Prathik R. Kaundinya, Kamal Choudhary, Surya R. Kalidindi
2021 J jnl
Harvesting data revolution for transmission electron microscopy (TEM) using signal processing.
CoRR
Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi
2021 J jnl
Recurrent Localization Networks applied to the Lippmann-Schwinger Equation.
CoRR
Conlain Kelly, Surya R. Kalidindi
2019 B conf
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics.
IJCNN
Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
2019 J jnl
Materials informatics.
J. Intell. Manuf.
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
2017 J jnl
Data-driven reduced order models for effective yield strength and partitioning of strain in multiphase materials.
J. Comput. Phys.
Marat I. Latypov, Surya R. Kalidindi
2013 J jnl
Key computational modeling issues in Integrated Computational Materials Engineering.
Comput. Aided Des.
Jitesh H. Panchal, Surya R. Kalidindi, David L. McDowell