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.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants
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RAPIDS2: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
Agrawal, A., Choudhary, A. N. & Liao, W.
9/23/20 → 9/22/25
Project: Research project
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Ankit Agrawal Subproject for CHiMaD
National Institute of Standards and Technology
1/1/19 → 12/31/23
Project: Research project
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PROTEUS: Machine Learning Driven Resilience for Extreme-scale Systems
Agrawal, A., Choudhary, A. N. & Liao, W.
9/1/18 → 8/31/21
Project: Research project
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BD Spokes: SPOKE: MIDWEST: Collaborative: Integrative Materials Design (IMaD): Leverage, Innovate, & Disseminate
Agrawal, A., Olson, G. B. & Voorhees, P. W.
2/15/17 → 1/31/21
Project: Research project
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Scalable, In-situ Data Clustering Data Analysis for Extreme Scale Scientific Computing
Agrawal, A., Choudhary, A. N. & Liao, W.
8/1/15 → 7/31/21
Project: Research project
Research Output
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Author Correction: Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning (Nature Communications, (2019), 10, 1, (5316), 10.1038/s41467-019-13297-w)
Jha, D., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Campbell, C. & Agrawal, A., Dec 1 2020, In: Nature communications. 11, 1, 3643.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Improving MPI Collective I/O for High Volume Non-Contiguous Requests with Intra-Node Aggregation
Kang, Q., Lee, S., Hou, K., Ross, R., Agrawal, A., Choudhary, A. & Liao, W. K., Nov 1 2020, In: IEEE Transactions on Parallel and Distributed Systems. 31, 11, p. 2682-2695 14 p., 9109678.Research output: Contribution to journal › Article › peer-review
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Learning to Predict Crystal Plasticity at the Nanoscale: Deep Residual Networks and Size Effects in Uniaxial Compression Discrete Dislocation Simulations
Yang, Z., Papanikolaou, S., Reid, A. C. E., Liao, W. K., Choudhary, A. N., Campbell, C. & Agrawal, A., Dec 1 2020, In: Scientific reports. 10, 1, 8262.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow
Kang, Q., Sim, A., Nugent, P., Lee, S., Liao, W. K., Agrawal, A., Choudhary, A. & Wu, K., May 2020, Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020. Lefevre, L., Varela, C. A., Pallis, G., Toosi, A. N., Rana, O. & Buyya, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 619-628 10 p. 9139682. (Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
Choudhary, K., Garrity, K. F., Reid, A. C. E., DeCost, B., Biacchi, A. J., Hight Walker, A. R., Trautt, Z., Hattrick-Simpers, J., Kusne, A. G., Centrone, A., Davydov, A., Jiang, J., Pachter, R., Cheon, G., Reed, E., Agrawal, A., Qian, X., Sharma, V., Zhuang, H., Kalinin, S. V. & 8 others, , Dec 2020, In: npj Computational Materials. 6, 1, 173.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations