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
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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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Collaborative Research: AI-Driven Multi-Scale Design of Materials under Processing Constraints
Agrawal, A. & Choudhary, A. N.
9/1/21 → 8/31/24
Project: Research project
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Liao, W., Agrawal, A. & Choudhary, A. N.
9/23/20 → 9/22/25
Project: Research project
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EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering
Choudhary, A. N., Agrawal, A. & Liao, W.
10/1/23 → 9/30/25
Project: Research project
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BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, & Disseminate
Voorhees, P. W., Agrawal, A. & Olson, G. B.
2/15/17 → 1/31/22
Project: Research project
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SHF:Medium:Collaborative Research: Scalable Algorithms for Spatio-temporal Data Analysis
Choudhary, A. N., Agrawal, A. & Liao, W.
6/1/14 → 5/31/19
Project: Research project
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A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures
Mao, Y., Lin, H., Yu, C. X., Frye, R., Beckett, D., Anderson, K., Jacquemetton, L., Carter, F., Gao, Z., Liao, W. K., Choudhary, A. N., Ehmann, K. & Agrawal, A., Jan 2023, In: Journal of Intelligent Manufacturing. 34, 1, p. 315-329 15 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
An AI-driven microstructure optimization framework for elastic properties of titanium beyond cubic crystal systems
Mao, Y., Hasan, M., Paul, A., Gupta, V., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Acar, P. & Agrawal, A., Dec 2023, In: npj Computational Materials. 9, 1, 111.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Artificial intelligence for accelerating materials discovery
Agrawal, A. & Choudhary, A., Mar 21 2023, Artificial Intelligence For Science: A Deep Learning Revolution. World Scientific Publishing Co. Pte Ltd, p. 431-443 13 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
Gumpula, K., Koloskov, N., Grzenda, D., Hewes, V., Aurisano, A., Cerati, G., Day, A., Kowalkowski, J., Lee, C., Wang, K., Liao, W., Spiropulu, M., Agrawal, A., Vlimant, J., Gray, L., Klijnsma, T., Calafiura, P., Conlon, S., Farrell, S., Ju, X., & 1 others, 2023, In: Journal of Physics: Conference Series. 2438, 1, 012091.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Improving deep learning model performance under parametric constraints for materials informatics applications
Gupta, V., Peltekian, A., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 2023, In: Scientific reports. 13, 1, 9128.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations
Datasets
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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. M. (Creator), Materials Data Facility, 2020
DOI: 10.18126/rovl-ingj, https://petreldata.net/mdf/detail/kim_ml_qh_v1.1
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. (Creator), Choudhary, A. N. (Creator) & Agrawal, A. (Creator), ZENODO, 2022
DOI: 10.5281/zenodo.6816246, https://zenodo.org/record/6816246
Dataset
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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. (Contributor), Choudhary, A. N. (Contributor) & Agrawal, A. (Contributor), ZENODO, Sep 28 2021
DOI: 10.5281/zenodo.5533023, https://zenodo.org/record/5533023
Dataset