| Bayesian analysis of parametric uncertainties and model form probabilities for two different crystal plasticity models of lamellar grains in α+ β titanium alloys A Venkatraman, DL McDowell, SR Kalidindi International Journal of Plasticity 154, 103289, 2022 | 31 | 2022 |
| Texture-sensitive prediction of micro-spring performance using Gaussian process models calibrated to finite element simulations A Venkatraman, DM de Oca Zapiain, H Lim, SR Kalidindi Materials & Design 197, 109198, 2021 | 12 | 2021 |
| Mechanical Responses of Primary-α Ti Grains in Polycrystalline Samples: Part II—Bayesian Estimation of Crystal-Level Elastic-Plastic Mechanical Properties from Spherical … AR Castillo, A Venkatraman, SR Kalidindi Integrating Materials and Manufacturing Innovation 10, 99-114, 2021 | 11 | 2021 |
| Neighborhood spatial correlations and machine learning classification of fatigue hot-spots in Ti–6Al–4V A Muth, A Venkatraman, R John, A Pilchak, SR Kalidindi, DL McDowell Mechanics of Materials 182, 104679, 2023 | 8 | 2023 |
| High throughput structure–property relationship for additively manufactured 316L/IN625 alloy mixtures leveraging 2-step Bayesian estimation VSK Adapa, NP Leclerc, A Venkatraman, T Feldhausen, SR Kalidindi, ... Materials & Design 229, 111892, 2023 | 6 | 2023 |
| A new framework for the assessment of model probabilities of the different crystal plasticity models for lamellar grains in Titanium alloys A Venkatraman, S Mohan, VR Joseph, DL McDowell, SR Kalidindi Modelling and Simulation in Materials Science and Engineering 31 (4), 044001, 2023 | 6 | 2023 |
| Reduced-order models for ranking damage initiation in dual-phase composites using Bayesian neural networks A Venkatraman, D Montes de Oca Zapiain, SR Kalidindi JOM 72, 4359-4369, 2020 | 6 | 2020 |
| An active learning framework for the rapid assessment of galvanic corrosion A Venkatraman, RM Katona, D Maestas, M Roop, P Noell, ... npj Materials Degradation 8 (1), 54, 2024 | 2 | 2024 |
| A sensitivity analysis of twinning crystal plasticity finite element model using single crystal and poly crystal Zircaloy SS Kulkarni, A Venkatraman, DJ Senor, R Devanathan Computational Materials Science 230, 112425, 2023 | 2 | 2023 |
| Accelerated Predictions of Charge Density Evolution in MD simulations Using Machine Learning A Venkatraman, M Wilson, D Montes de Oca Zapiain Bulletin of the American Physical Society, 2024 | 1 | 2024 |
| An Active Learning Framework for the Rapid Assessment of Galvanic Corrosion DM de Oca Zapiain, A Venkatraman, R Katona, D Maestas, M Roop, ... | 1 | 2024 |
| Effect of particle size and inter-particle spacing on dislocation behaviour of Nickel based super alloys AK Kanjarla, G Muthusamy, A Venkatraman arXiv preprint arXiv:1707.04398, 2017 | 1 | 2017 |
| Accelerating charge estimation in molecular dynamics simulations using physics-informed neural networks: corrosion applications A Venkatraman, MA Wilson, D Montes de Oca Zapiain npj Computational Materials 11 (1), 24, 2025 | | 2025 |
| Bayesian protocols for high-throughput identification of kinematic hardening model forms A Venkatraman, CE Johnson, DL McDowell, SR Kalidindi International Journal of Mechanical Sciences 285, 109791, 2025 | | 2025 |
| Understanding the Interactions of Multiple Pits Under Freely Corroding Conditions RM Katona, ML Roop, A Venkatraman, DM de Oca Zapiain, RF Schaller Journal of the Electrochemical Society 171 (12), 121503, 2024 | | 2024 |
| Accelerating Computational Calculations of Galvanic Corrosion Using Active Learning D Montes de Oca Zapiain, A Venkatraman, D Maestas, MA Melia, ... Electrochemical Society Meeting Abstracts prime2024, 1700-1700, 2024 | | 2024 |
| (Invited) Finite Element Modeling of Atmospheric Corrosion: Boundary Conditions, Model Fidelities, and Computational Advances with Machine Learning RM Katona, A Venkatraman, M Roop, PJ Noell, D Montes de Oca Zapiain, ... Electrochemical Society Meeting Abstracts prime2024, 1699-1699, 2024 | | 2024 |
| Accelerating Charge Estimation in Molecular Dynamics Simulations Using Physics-Informed Neural Networks: Corrosion Applications DM de Oca Zapiain, A Venkatraman, M Wilson | | 2024 |
| A&L Corrosion PJ Noell, MA Wilson, V Stavila, LC Merrill, MA Melia, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2024 | | 2024 |
| High-Throughput Strategies that Encompass Experiments and Machine Learning to Predict the Mechanical Properties of Additive Manufactured Aerospace Alloys ZS Courtright, B Yucel, A Venkatraman, VSK Adapa, A Diaz, SR Kalidindi 153rd Annual Meeting and Exhibition of The Minerals, Metals & Materials …, 2024 | | 2024 |
Surya R. KalidindiGeorgia Institute of Technology, Atlanta, GAVerified email at me.gatech.edu