| Measuring the loss tangent of polymer materials with atomic force microscopy based methods DG Yablon, J Grabowski, I Chakraborty Measurement Science and Technology 25 (5), 055402, 2014 | 55 | 2014 |
| Cantilever energy effects on bimodal AFM: phase and amplitude contrast of multicomponent samples I Chakraborty, DG Yablon Nanotechnology 24 (47), 475706, 2013 | 46 | 2013 |
| Near-grazing dynamics of base excited cantilevers with nonlinear tip interactions I Chakraborty, B Balachandran Nonlinear Dynamics 70, 1297-1310, 2012 | 35 | 2012 |
| Noise influenced elastic cantilever dynamics with nonlinear tip interaction forces I Chakraborty, B Balachandran Nonlinear Dynamics 66, 427-439, 2011 | 20 | 2011 |
| Temperature dependent loss tangent measurement of polymers with contact resonance atomic force microscopy I Chakraborty, DG Yablon Polymer 55 (7), 1609-1612, 2014 | 12 | 2014 |
| Off-resonance cantilever dynamics in the presence of attractive and repulsive tip interaction forces I Chakraborty, B Balachandran International Journal of Structural Stability and Dynamics 11 (04), 603-620, 2011 | 11 | 2011 |
| Deep learning to establish structure property relationships of impact copolymers from AFM phase images D Yablon, I Chakraborty, H Passino, K Iyer, A Doufas, M Shivokhin Mrs Communications 11, 962-968, 2021 | 8 | 2021 |
| Cantilever dynamics with attractive and repulsive tip interactions I Chakraborty, B Balachandran ASME International Mechanical Engineering Congress and Exposition 43833, 443-449, 2009 | 4 | 2009 |
| USING DEEP LEARNING TO IDENTIFY THE SEVERITY OF PIPELINE DENTS I Chakraborty, B Vyvial Pipeline Science & Technology 4 (2(4)), 2020 | 3 | 2020 |
| Deepwater Riser & Mooring Life Cycle Digital Integrity Management D Renzi, V Nadathur, S Wong, M Zhang, Y Chen, L Zarate, S Fan, ... Offshore Technology Conference, D031S034R007, 2021 | 2 | 2021 |
| Condition Based Monitoring of Pumps Using Machine Learning I Chakraborty, DJ Kluk Offshore Technology Conference, D011S007R006, 2020 | 2 | 2020 |
| Deep Learning to Predict Structure-Property Relationships of Polymer Blends D Yablon, I Chakraborty, H Passino, K Iyer, A Doufas, M Shivokhin, ... Machine Learning in Materials Informatics: Methods and Applications, 51-64, 2022 | 1 | 2022 |
| Estimating Collapse Pressure of Centralizer Subs From Machine Learning Models I Chakraborty ASME 2019 Pressure Vessels & Piping Conference, 2019 | 1 | 2019 |
| Effects of operating conditions on bimodal atomic force microscopy I Chakraborty, DG Yablon MRS Online Proceedings Library (OPL) 1557, mrss13-1557-y07-05, 2013 | 1 | 2013 |
| Noise and contact in dynamic AFM operations I Chakraborty, B Balachandran International Design Engineering Technical Conferences and Computers and …, 2011 | 1 | 2011 |
| Machine Learning to classify, predict structure-property relationships, and detect artifacts in AFM images D Yablon, I Chakraborty, J Thornton, B Pittenger APS March Meeting Abstracts 2023, M36. 002, 2023 | | 2023 |
| Machine Learning Models With Engineering Insight: Case Studies From the Oil and Gas Industry I Chakraborty, D Kluk, S McNeill International Conference on Offshore Mechanics and Arctic Engineering 84430 …, 2020 | | 2020 |
| Addressing Shell Mode Vibration in Ducts in Refinery With Computational Models and Field Data I Chakraborty, A Paul, G Szasz ASME 2019 Pressure Vessels & Piping Conference, 2019 | | 2019 |
| Brittle Fracture Assessments on Piping Systems: MSOT Curves I Chakraborty, K Subramanian, J Penso ASME 2019 Pressure Vessels & Piping Conference, 2019 | | 2019 |
| Near-Grazing Dynamics of Macro-scale and Micro-scale Cantilevers with Nonlinear Tip Interaction Forces I Chakraborty, B Balachandran IUTAM Symposium on Nonlinear Dynamics for Advanced Technologies and …, 2013 | | 2013 |
