• 2586 Citations
20052023

Research output per year

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Article
2019

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

Jha, D., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Campbell, C. & Agrawal, A., Dec 1 2019, In : Nature communications. 10, 1, 5316.

Research output: Contribution to journalArticle

Open Access
3 Scopus citations

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

Yang, Z., Yabansu, Y. C., Jha, D., Liao, W. K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Mar 2019, In : Acta Materialia. 166, p. 335-345 11 p.

Research output: Contribution to journalArticle

15 Scopus citations

Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation

Paul, A., Acar, P., Liao, W. K., Choudhary, A., Sundararaghavan, V. & Agrawal, A., Apr 1 2019, In : Computational Materials Science. 160, p. 334-351 18 p.

Research output: Contribution to journalArticle

10 Scopus citations
3 Scopus citations

Scalable Algorithms for MPI Intergroup Allgather and Allgatherv

Kang, Q., Träff, J. L., Al-Bahrani, R., Agrawal, A., Choudhary, A. & Liao, W. K., Jul 2019, In : Parallel Computing. 85, p. 220-230 11 p.

Research output: Contribution to journalArticle

Survivability prediction of colon cancer patients using neural networks

Al-Bahrani, R., Agrawal, A. & Choudhary, A., Sep 1 2019, In : Health Informatics Journal. 25, 3, p. 878-891 14 p.

Research output: Contribution to journalArticle

2018

#Alzheimer’s and dementia

Danilovich, M. K., Tsay, J., Al-Bahrani, R., Choudhary, A. & Agrawal, A., Jan 1 2018, In : Topics in Geriatric Rehabilitation. 34, 1, p. 48-53 6 p.

Research output: Contribution to journalArticle

7 Scopus citations

Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks

Mozaffar, M., Paul, A., Al-Bahrani, R., Wolff, S., Choudhary, A. N., Agrawal, A., Ehmann, K. & Cao, J., Oct 1 2018, In : Manufacturing Letters. 18, p. 35-39 5 p.

Research output: Contribution to journalArticle

15 Scopus citations

Data samplingschemes formicrostructure designwith vibrational tuning constraints

Paul, A., Acar, P., Liu, R., Liao, W-K., Choudhary, A. N., Sundararaghavan, V. & Agrawal, A., Jan 1 2018, In : AIAA Journal. 56, 3, p. 1239-1250 12 p.

Research output: Contribution to journalArticle

4 Scopus citations

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

Yang, Z., Yabansu, Y. C., Al-Bahrani, R., Liao, W. K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Aug 2018, In : Computational Materials Science. 151, p. 278-287 10 p.

Research output: Contribution to journalArticle

34 Scopus citations

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Jha, D., Ward, L., Paul, A., Liao, W. K., Choudhary, A., Wolverton, C. & Agrawal, A., Dec 1 2018, In : Scientific reports. 8, 1, 17593.

Research output: Contribution to journalArticle

30 Scopus citations

Extracting grain orientations from EBSD patterns of polycrystalline materials using convolutional neural networks

Jha, D., Singh, S., Al-Bahrani, R., Liao, W. K., Choudhary, A., De Graef, M. & Agrawal, A., Oct 1 2018, In : Microscopy and Microanalysis. 24, 5, p. 497-502 6 p.

Research output: Contribution to journalArticle

12 Scopus citations

Machine-learning-accelerated high-throughput materials screening: Discovery of novel quaternary Heusler compounds

Kim, K., Ward, L., He, J., Krishna, A., Agrawal, A. & Wolverton, C., Dec 4 2018, In : Physical Review Materials. 2, 12, 123801.

Research output: Contribution to journalArticle

11 Scopus citations

Microstructural materials design via deep adversarial learning methodology

Yang, Z., Li, X., Brinson, L. C., Choudhary, A. N., Chen, W. & Agrawal, A., Nov 2018, In : Journal of Mechanical Design, Transactions of the ASME. 140, 11, 111416.

Research output: Contribution to journalArticle

18 Scopus citations
13 Scopus citations
2017

Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection

Gopalakrishnan, K., Khaitan, S. K., Choudhary, A. & Agrawal, A., Dec 30 2017, In : Construction and Building Materials. 157, p. 322-330 9 p.

Research output: Contribution to journalArticle

129 Scopus citations

Improved Scaling of Molecular Network Calculations: The Emergence of Molecular Domains

Gagorik, A. G., Savoie, B., Jackson, N., Agrawal, A., Choudhary, A., Ratner, M. A., Schatz, G. C. & Kohlstedt, K. L., Jan 19 2017, In : Journal of Physical Chemistry Letters. 8, 2, p. 415-421 7 p.

Research output: Contribution to journalArticle

8 Scopus citations

Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations

Ward, L., Liu, R., Krishna, A., Hegde, V. I., Agrawal, A., Choudhary, A. & Wolverton, C., Jul 14 2017, In : Physical Review B. 96, 2, 024104.

Research output: Contribution to journalArticle

54 Scopus citations

Legislative prediction with dual uncertainty minimization from heterogeneous information

Cheng, Y., Agrawal, A., Liu, H. & Choudhary, A., Apr 1 2017, In : Statistical Analysis and Data Mining. 10, 2, p. 107-120 14 p.

Research output: Contribution to journalArticle

SILVERBACK+: scalable association mining via fast list intersection for columnar social data

Xie, Y., Chen, Z., Palsetia, D., Trajcevski, G., Agrawal, A. & Choudhary, A., Mar 1 2017, In : Knowledge and Information Systems. 50, 3, p. 969-997 29 p.

Research output: Contribution to journalArticle

4 Scopus citations
2016
210 Scopus citations

Classification of sentiment reviews using n-gram machine learning approach

Tripathy, A., Agrawal, A. & Rath, S. K., Sep 15 2016, In : Expert Systems with Applications. 57, p. 117-126 10 p.

Research output: Contribution to journalArticle

177 Scopus citations
182 Scopus citations

Predictive analytics for crystalline materials: Bulk modulus

Furmanchuk, AO., Agrawal, A. & Choudhary, A., Jan 1 2016, In : RSC Advances. 6, 97, p. 95246-95251 6 p.

Research output: Contribution to journalArticle

15 Scopus citations
2015

A predictive machine learning approach for microstructure optimization and materials design

Liu, R., Kumar, A., Chen, Z., Agrawal, A., Sundararaghavan, V. & Choudhary, A., Jun 23 2015, In : Scientific reports. 5, 11551.

Research output: Contribution to journalArticle

68 Scopus citations

Machine learning approaches for elastic localization linkages in high-contrast composite materials

Liu, R., Yabansu, Y. C., Agrawal, A., Kalidindi, S. R. & Choudhary, A. N., Dec 1 2015, In : Integrating Materials and Manufacturing Innovation. 4, 1, p. 192-208 17 p.

Research output: Contribution to journalArticle

Open Access
27 Scopus citations
2014

Combinatorial screening for new materials in unconstrained composition space with machine learning

Meredig, B., Agrawal, A., Kirklin, S., Saal, J. E., Doak, J. W., Thompson, A., Zhang, K., Choudhary, A. N. & Wolverton, C. M., Mar 14 2014, In : Physical Review B - Condensed Matter and Materials Physics. 89, 9, 094104.

Research output: Contribution to journalArticle

198 Scopus citations

Data compression for the exascale computing era - survey

Son, S. W., Chen, Z., Hendrix, W., Agrawal, A., Liao, W-K. & Choudhary, A. N., Jan 1 2014, In : Supercomputing Frontiers and Innovations. 1, 2, p. 76-88 13 p.

Research output: Contribution to journalArticle

16 Scopus citations

Excavating social circles via user interests

Palsetia, D., Patwary, M. M. A., Agrawal, A. & Choudhary, A., Jan 1 2014, In : Social Network Analysis and Mining. 4, 1, p. 1-12 12 p., 170.

Research output: Contribution to journalArticle

4 Scopus citations

Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters

Agrawal, A., Deshpande, P. D., Cecen, A., Basavarsu, G. P., Choudhary, A. N. & Kalidindi, S. R., Dec 1 2014, In : Integrating Materials and Manufacturing Innovation. 3, 1, p. 90-108 19 p.

Research output: Contribution to journalArticle

Open Access
67 Scopus citations

MuSES: Multilingual sentiment elicitation system for social media data

Xie, Y., Chen, Z., Zhang, K., Cheng, Y., Honbo, D. K., Agrawal, A. & Choudhary, A. N., Jul 1 2014, In : IEEE Intelligent Systems. 29, 4, p. 34-42 9 p., 6559997.

Research output: Contribution to journalArticle

23 Scopus citations

Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques

Ganguly, A. R., Kodra, E. A., Agrawal, A., Banerjee, A., Boriah, S., Chatterjee, S. N., Chatterjee, S. O., Choudhary, A., Das, D., Faghmous, J., Ganguli, P., Ghosh, S., Hayhoe, K., Hays, C., Hendrix, W., Fu, Q., Kawale, J., Kumar, D., Kumar, V., Liao, W. & 9 others, Liess, S., Mawalagedara, R., Mithal, V., Oglesby, R., Salvi, K., Snyder, P. K., Steinhaeuser, K., Wang, D. & Wuebbles, D., Jan 1 2014, In : Nonlinear Processes in Geophysics. 21, 4, p. 777-795 19 p.

Research output: Contribution to journalArticle

17 Scopus citations
2013

Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data

Mathias, J. S., Agrawal, A., Feinglass, J., Cooper, A. J., Baker, D. W. & Choudhary, A., Aug 29 2013, In : Journal of the American Medical Informatics Association. 20, E1, p. e118-e124

Research output: Contribution to journalArticle

39 Scopus citations

Knowledge discovery and data mining in pavement inverse analysis

Gopalakrishnan, K., Agrawal, A., Ceylan, H., Kim, S. & Choudhary, A., Mar 1 2013, In : Transport. 28, 1, p. 1-10 10 p.

Research output: Contribution to journalArticle

15 Scopus citations
2012

Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power.

Zhang, Y., Misra, S., Agrawal, A., Patwary, M. M. A., Liao, W. K., Qin, Z. & Choudhary, A., 2012, In : BMC bioinformatics. 13 Suppl 5, p. S3

Research output: Contribution to journalArticle

16 Scopus citations

Accelerating pairwise statistical significance estimation using NUMA machine

Zhang, Y., Zhou, F., Gou, J., Xiao, H., Qin, Z. & Agrawal, A., May 1 2012, In : Journal of Computational Information Systems. 8, 9, p. 3887-3894 8 p.

Research output: Contribution to journalArticle

8 Scopus citations

Lung cancer survival prediction using ensemble data mining on SEER data

Agrawal, A., Misra, S., Narayanan, R., Polepeddi, L. & Choudhary, A. N., Jan 1 2012, In : Scientific Programming. 20, 1, p. 29-42 14 p.

Research output: Contribution to journalArticle

24 Scopus citations

Par-PSSE: Software for Pairwise statistical significance estimation in parallel for local sequence alignment

Zhang, Y., Patwary, M. M. A., Misra, S., Agrawal, A., Liao, W. K., Qin, Z. & Choudhary, A., Mar 1 2012, In : International Journal of Digital Content Technology and its Applications. 6, 5, p. 200-208 9 p.

Research output: Contribution to journalArticle

5 Scopus citations
2011

Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing

Misra, S., Agrawal, A., Liao, W. K. & Choudhary, A., Jan 1 2011, In : Bioinformatics. 27, 2, p. 189-195 7 p., btq648.

Research output: Contribution to journalArticle

17 Scopus citations
22 Scopus citations
9 Scopus citations
2010

Fuzzy-adaptive-thresholding-based exon prediction

Agrawal, A., Mittal, A., Jain, R. & Takkar, R., Dec 1 2010, In : International Journal of Computational Biology and Drug Design. 3, 4, p. 311-333 23 p.

Research output: Contribution to journalArticle

2 Scopus citations
2009
15 Scopus citations

PSIBLAST_PairwiseStatSig: Reordering PSI-BLAST hits using pairwise statistical significance

Agrawal, A. & Huang, X., Apr 20 2009, In : Bioinformatics. 25, 8, p. 1082-1083 2 p.

Research output: Contribution to journalArticle

14 Scopus citations
2008
14 Scopus citations
2007

A Restrictive Mining Algorithm to Learn Multi Time Delay Gene Networks

Agrawal, A., Mittal, A. & Gupta, S., 2007, In : Bioinformatics Trends - A Journal of Bioinformatics and Its Applications. 2, p. 125-140

Research output: Contribution to journalArticle

2005

A Dynamic Time-Lagged Correlation based Method to Learn Multi-Time Delay Gene

Agrawal, A. & Mittal, A., 2005, In : Enformatika. 9, p. 167-174

Research output: Contribution to journalArticle