Grants per year
Personal profile
Research Interests
Data Mining, High Performance Computing, Materials Informatics, Healthcare Informatics, Social Media Analytics.
Education/Academic qualification
Computer Science, PhD, Iowa State University
… → 2009
Computer Science and Engineering, BTech, Indian Institute of Technology Roorkee
… → 2006
Fingerprint
Dive into the research topics where Ankit Agrawal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CHiMaD 3
Voorhees, P. W. (PD/PI), Agrawal, A. (Other) & Wolverton, C. M. (Other)
National Institute of Standards and Technology
1/1/25 → 12/31/25
Project: Research project
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EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering
Choudhary, A. N. (PD/PI), Agrawal, A. (Co-PD/PI) & Liao, W.-K. (Co-PD/PI)
10/1/23 → 9/30/25
Project: Research project
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Targeting abnormal alveolar immune activation and failed epithelial repair in COVID-19
Budinger, G. S. (PD/PI), Budinger, G. S. (PD/PI), Misharin, A. (PD/PI), Misharin, A. (PD/PI), Abdala-Valencia, H. (Co-Investigator), Abdala-Valencia, H. (Co-Investigator), Agrawal, A. (Co-Investigator), Braun, R. I. (Co-Investigator), Braun, R. I. (Co-Investigator), Casalino Matsuda, M. S. (Co-Investigator), Casalino Matsuda, M. S. (Co-Investigator), Horvath, C. M. (Co-Investigator), Horvath, C. M. (Co-Investigator), Lomasney, J. W. (Co-Investigator), Lomasney, J. W. (Co-Investigator), Prakriya, M. (Co-Investigator), Prakriya, M. (Co-Investigator), Wunderink, R. G. (Co-Investigator), Wunderink, R. G. (Co-Investigator), Yamashita, M. (Co-Investigator), Yamashita, M. (Co-Investigator), Casalino Matsuda, M. S. (Other) & Casalino Matsuda, M. S. (Other)
National Heart, Lung, and Blood Institute
4/1/22 → 3/31/26
Project: Research project
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Collaborative Research: AI-Driven Multi-Scale Design of Materials under Processing Constraints
Agrawal, A. (PD/PI), Agrawal, A. (PD/PI), Agrawal, A. (PD/PI), Choudhary, A. N. (Co-PD/PI), Choudhary, A. N. (Co-PD/PI) & Choudhary, A. N. (Co-PD/PI)
9/1/21 → 8/31/25
Project: Research project
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Liao, W.-K. (PD/PI), Liao, W.-K. (PD/PI), Agrawal, A. (Co-PD/PI), Agrawal, A. (Co-PD/PI), Choudhary, A. N. (Co-PD/PI) & Choudhary, A. N. (Co-PD/PI)
9/23/20 → 9/22/25
Project: Research project
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A deep learning-based crystal plasticity finite element model
Mao, Y., Keshavarz, S., Kilic, M. N. T., Wang, K., Li, Y., Reid, A. C. E., Liao, W. K., Choudhary, A. & Agrawal, A., Jan 1 2025, In: Scripta Materialia. 254, 116315.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization
Day, A. L., Wahl, C. B., Dos Reis, R., Liao, W. K., Dravid, V. P., Choudhary, A. & Agrawal, A., Oct 21 2024, CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4462-4469 8 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
JARVIS-Leaderboard: a large scale benchmark of materials design methods
Choudhary, K., Wines, D., Li, K., Garrity, K. F., Gupta, V., Romero, A. H., Krogel, J. T., Saritas, K., Fuhr, A., Ganesh, P., Kent, P. R. C., Yan, K., Lin, Y., Ji, S., Blaiszik, B., Reiser, P., Friederich, P., Agrawal, A., Tiwary, P. & Beyerle, E. & 17 others, , Dec 2024, In: npj Computational Materials. 10, 1, 93.Research output: Contribution to journal › Article › peer-review
Open Access12 Scopus citations -
Machine Learning-Enabled Image Classification for Automated Electron Microscopy
Day, A. L., Wahl, C. B., Gupta, V., Dos Reis, R., Liao, W. K., Mirkin, C. A., Dravid, V. P., Choudhary, A. & Agrawal, A., Jun 1 2024, In: Microscopy and Microanalysis. 30, 3, p. 456-465 10 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Neural Network Models Towards Space Group Determination Using Dynamically Simulated EBSD and TKD Patterns
Yan, A., Kilic, M. N. T., Agrawal, A., dos Reis, R. & Dravid, V., Jul 24 2024, In: Microscopy and Microanalysis. 30, 2024, p. 388-390 3 p.Research output: Contribution to journal › Conference article › peer-review
Datasets
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Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data
Gupta, V. (Contributor), Choudhary, K. (Contributor), Tavazza, F. (Contributor), Campbell, C. (Contributor), Liao, W.-K. (Contributor), Choudhary, A. (Contributor) & Agrawal, A. (Contributor), ZENODO, Sep 28 2021
DOI: 10.5281/zenodo.5533023, https://zenodo.org/record/5533023
Dataset
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ALIGNN TL Models
Gupta, V. (Creator), Choudhary, K. (Creator), DeCost, B. (Creator), Tavazza, F. (Creator), Campbell, C. (Creator), Liao, W.-K. (Creator), Choudhary, A. (Creator) & Agrawal, A. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6816246, https://zenodo.org/record/6816246
Dataset
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Dataset for Machine-learning-accelerated high-throughput materials screening: Discovery of novel quaternary Heusler compounds
Kim, K. (Creator), Ward, L. (Creator), He, J. (Creator), Krishna, A. (Creator), Agrawal, A. (Creator) & Wolverton, C. (Creator), Materials Data Facility, 2020
DOI: 10.18126/rovl-ingj, https://petreldata.net/mdf/detail/kim_ml_qh_v1.1
Dataset