| A general-purpose machine learning framework for predicting properties of inorganic materials L Ward, A Agrawal, A Choudhary, C Wolverton npj Computational Materials 2 (1), 1-7, 2016 | 1160 | 2016 |
| Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science A Agrawal, A Choudhary Apl Materials 4 (5), 2016 | 1041 | 2016 |
| Deep convolutional neural networks with transfer learning for computer vision-based data-driven pavement distress detection K Gopalakrishnan, SK Khaitan, A Choudhary, A Agrawal Construction and building materials 157, 322-330, 2017 | 983 | 2017 |
| Combinatorial screening for new materials in unconstrained composition space with machine learning B Meredig, A Agrawal, S Kirklin, JE Saal, JW Doak, A Thompson, K Zhang, ... Physical Review B 89 (9), 094104, 2014 | 726 | 2014 |
| Twitter Trending Topic Classification K Lee, D Palsetia, R Narayanan, M Patwary, A Agrawal, A Choudhary Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on …, 2011 | 473 | 2011 |
| ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition D Jha, L Ward, A Paul, W Liao, A Choudhary, C Wolverton, A Agrawal Scientific reports 8 (1), 17593, 2018 | 405 | 2018 |
| A predictive machine learning approach for microstructure optimization and materials design R Liu, A Kumar, Z Chen, A Agrawal, V Sundararaghavan, A Choudhary Scientific reports 5 (1), 11551, 2015 | 374 | 2015 |
| Recent advances and applications of deep learning methods in materials science K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... npj Computational Materials 8 (1), 59, 2022 | 370 | 2022 |
| Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations L Ward, R Liu, A Krishna, VI Hegde, A Agrawal, A Choudhary, ... Physical Review B 96 (2), 024104, 2017 | 362 | 2017 |
| Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets Z Yang, YC Yabansu, R Al-Bahrani, W Liao, AN Choudhary, SR Kalidindi, ... Computational Materials Science 151, 278-287, 2018 | 319 | 2018 |
| The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ... npj computational materials 6 (1), 173, 2020 | 278 | 2020 |
| Real-time disease surveillance using twitter data: demonstration on flu and cancer K Lee, A Agrawal, A Choudhary Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 272 | 2013 |
| Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning D Jha, K Choudhary, F Tavazza, W Liao, A Choudhary, C Campbell, ... Nature communications 10 (1), 5316, 2019 | 249 | 2019 |
| Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters A Agrawal, PD Deshpande, A Cecen, GP Basavarsu, AN Choudhary, ... Integrating materials and manufacturing innovation 3 (1), 90-108, 2014 | 248 | 2014 |
| Microstructural materials design via deep adversarial learning methodology Z Yang, X Li, L Catherine Brinson, AN Choudhary, W Chen, A Agrawal Journal of Mechanical Design 140 (11), 111416, 2018 | 236 | 2018 |
| A new scalable parallel DBSCAN algorithm using the disjoint-set data structure MMA Patwary, D Palsetia, A Agrawal, W Liao, F Manne, A Choudhary SC'12: Proceedings of the International Conference on High Performance …, 2012 | 226 | 2012 |
| Deep materials informatics: Applications of deep learning in materials science A Agrawal, A Choudhary Mrs Communications 9 (3), 779-792, 2019 | 208 | 2019 |
| Predicting the outcome of startups: less failure, more success A Krishna, A Agrawal, A Choudhary 2016 IEEE 16th international conference on data mining workshops (ICDMW …, 2016 | 192 | 2016 |
| Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks M Mozaffar, A Paul, R Al-Bahrani, S Wolff, A Choudhary, A Agrawal, ... Manufacturing letters 18, 35-39, 2018 | 181 | 2018 |
| Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches Z Yang, YC Yabansu, D Jha, W Liao, AN Choudhary, SR Kalidindi, ... Acta Materialia 166, 335-345, 2019 | 159 | 2019 |
Alok ChoudharyProfessor Northwestern University在 eecs.northwestern.edu 的电子邮件经过验证
