| Plasmonics: the next chip-scale technology R Zia, JA Schuller, A Chandran, ML Brongersma Materials today 9 (7-8), 20-27, 2006 | 1074 | 2006 |
| Extraordinary optical absorption through subwavelength slits JS White, G Veronis, Z Yu, ES Barnard, A Chandran, S Fan, ... Optics letters 34 (5), 686-688, 2009 | 225 | 2009 |
| Spectral properties of plasmonic resonator antennas ES Barnard, JS White, A Chandran, ML Brongersma Optics Express 16 (21), 16529-16537, 2008 | 192 | 2008 |
| Dielectric waveguide model for guided surface polaritons R Zia, A Chandran, ML Brongersma Optics letters 30 (12), 1473-1475, 2005 | 114 | 2005 |
| Metal-dielectric-metal surface plasmon-polariton resonators A Chandran, ES Barnard, JS White, ML Brongersma Physical Review B 85 (8), 085416, 2012 | 83 | 2012 |
| Plasmonics—The wave of chip-scale device technologies R Zia, JA Schuller, A Chandran, ML Brongersma Mater. Today 9 (7-8), 20, 2006 | 16 | 2006 |
| Reflection angle/azimuth-dependent least-squares reverse time migration E Duveneck, M Kiehn, A Chandran, T Kühnel Geophysics 86 (5), S325-S338, 2021 | 13 | 2021 |
| An assessment of the reduction potential of hydrogen plasma KT Jacob, A Chandran, RM Mallya Zeitschrift für Metallkunde 91 (5), 401-405, 2000 | 9 | 2000 |
| Raw nav-merge seismic data to subsurface properties with mlp based multi-modal information unscrambler A Desai, Z Xu, M Gupta, A Chandran, A Vial-Aussavy, A Shrivastava Advances in Neural Information Processing Systems 34, 8740-8752, 2021 | 8 | 2021 |
| Angle-dependent and angle-independent lease-squares reverse time migration (LSRTM)—Case studies T Kühnel, M Kiehn, E Duveneck, B Strawn, D Nguyen, A Chandran, ... SEG International Exposition and Annual Meeting, D033S044R006, 2019 | 5 | 2019 |
| Machine learning-based residual moveout picking F Bazargani, W Zhang, A Chandran, Z Liu, H Rynja SEG International Exposition and Annual Meeting, D011S088R002, 2022 | 1 | 2022 |
| Mitigating elastic effects of acoustic full-waveform inversion with deep learning and application to field data D Voytan, A Gomes, D Datta, RÉ Plessix, A Chandran, K Matson SEG International Exposition and Annual Meeting, D011S045R004, 2022 | 1 | 2022 |
| Rapid Replication of Best Practices through Machine Learning. Never mind the network, look at the data! H Rynja, F Bazargani, A Chandran, Z Liu, C Sutton, J Vamaraju, J Vila, ... 83rd EAGE Annual Conference & Exhibition Workshop Programme 2022 (1), 1-5, 2022 | 1 | 2022 |
| Beyond convolutions: A novel deep learning approach for raw seismic data ingestion Z Xu, A Desai, M Gupta, A Chandran, A Vial-Aussavy, A Shrivastava arXiv preprint arXiv:2102.13631, 2021 | 1 | 2021 |
| Full wave-equation based optimal shot selection for least-squares reverse time migration A Chandran, T Kühnel, F Bazargani, M Kiehn, D Nguyen, B Strawn SEG International Exposition and Annual Meeting, D033S087R003, 2019 | 1 | 2019 |
| Metal Insulator Multi-Layer Surface Plasmon Devices A Chandran Stanford University, 2014 | 1 | 2014 |
| Extraordinary optical absorption through plasmonic subwavelength slits J White, G Veronis, Z Yu, E Barnard, A Chandran, S Fan, M Brongersma APS March Meeting Abstracts, B27. 007, 2009 | 1 | 2009 |
| Plasmonics–the new wave of chipscale technologies!? ML Brongersma, R Zia, J Schuler, A Chandran Nanophotonics, NFA1, 2006 | 1 | 2006 |
| Subsurface Image Morphing Operator Using Deep Learning Techniques CS Chen, D Datta, A Chandran, M Gupta, J Chen, M Sidahmed Offshore Technology Conference Brasil, D021S018R003, 2023 | | 2023 |
| ML Based Dispersion Filter for Finite-Differences A Agnihotri, N Kumar, A Chandran, A St-Cyr Sixth EAGE High Performance Computing Workshop 2022 (1), 1-5, 2022 | | 2022 |
Rashid ZiaBrown University, School of EngineeringVerified email at brown.edu
