| Image-driven discriminative and generative machine learning algorithms for establishing microstructure–processing relationships W Ma, EJ Kautz, A Baskaran, A Chowdhury, V Joshi, B Yener, DJ Lewis Journal of Applied Physics 128 (13), 2020 | 54 | 2020 |
| Adaptive characterization of microstructure dataset using a two stage machine learning approach A Baskaran, G Kane, K Biggs, R Hull, D Lewis Computational Material Science 177, 2020 | 47 | 2020 |
| Adoption of image-driven machine learning for microstructure characterization and materials design: a perspective A Baskaran, EJ Kautz, A Chowdhary, W Ma, B Yener, DJ Lewis Jom 73, 3639-3657, 2021 | 18 | 2021 |
| Theory+ AI/ML for microscopy and spectroscopy: Challenges and opportunities D Unruh, VSC Kolluru, A Baskaran, Y Chen, MKY Chan MRS Bulletin 47 (10), 1024-1035, 2022 | 15 | 2022 |
| Effect of initial variance of microstructures on grain growth under mean curvature A Baskaran, D Crist, D Lewis Modelling and Simulation in Materials Science and Engineering 25 (6), 065010, 2017 | 4 | 2017 |
| Image-driven discriminative and generative methods for establishing microstructure-processing relationships relevant to nuclear fuel processing pipelines E Kautz, W Ma, A Baskaran, A Chowdhury, V Joshi, B Yener, D Lewis Microscopy and Microanalysis 27 (S1), 2128-2130, 2021 | 1 | 2021 |
| Numerical modeling of Ti-6Al-4V microstructure evolution for thermomechanical process control S Bhatt, A Baskaran, D Lewis, A Maniatty Proceedings of NUMIFORM 2019: The 13th International Conference on Numerical …, 2019 | 1 | 2019 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images A Baskaran, Y Lin, J Wen, MKY Chan arXiv preprint arXiv:2209.01908, 2022 | | 2022 |
| A Semi-Supervised Machine Learning Workflow to Extract Quantitative Insights From Ultrafast Electron Microscopy Datasets A Baskaran, F Zhou, TE Gage, H Liu, I Arslan, H Wen, MKY Chan Microscopy and Microanalysis 28 (S1), 3028-3030, 2022 | | 2022 |
| Computing Optical Flow from Machine Learning for Spatio-Temporal Characterization of Ultrafast Electron Microscopy Datasets A Baskaran, F Zhou, T E Gage, H Liu, I Arslan, H Wen, M Chan MRS Spring Meeting, 2022 | | 2022 |
| Semantic Segmentation for Analysis of Melting of Nanoscale Ice via Convolutional Neural Networks A Baskaran, Y Lin, J Wen, M Chan MRS Spring Meeting, 2022 | | 2022 |
| Unsupervised Machine Learning for Spatio-Temporal Characterization of Nanoscale Phenomena Imaged via Ultrafast Electron Microscopy A Baskaran, F Zhou, T E Gage, H Liu, I Arslan, H Wen, M Chan Bulletin of the American Physical Society, 2022 | | 2022 |
| Semantic Segmentation for Analysis of Melting of Nanoscale Ice via Fully Convolutional Neural Networks A Baskaran, Y Lin, J Wen, M Chan APS March Meeting Abstracts 2022, Q32. 004, 2022 | | 2022 |
| Unsupervised Machine Learning for Spatio-Temporal Characterization of Ultrafast Electron Microscopy Datasets A Baskaran, F Zhou, T E Gage, H Liu, I Arslan, H Wen, M Chan MRS Fall Meeting, 2021 | | 2021 |
| Advances in Image Driven Machine Learning for Microstructure Recognition and Characterization A Baskaran, EJ Kautz, W Ma, A Chowdhury, B Yener, D Lewis MRS Spring Meeting, 2021 | | 2021 |
| Microstructural Investigation of Ti-6Al-4V Using Phase Field Modeling and Image-Driven Machine Learning A Baskaran Rensselaer Polytechnic Institute, 2020 | | 2020 |
Dan LewisRensselaer Polytechnic InstituteVerified email at rpi.edu
