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Ankit Agrawal
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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
13212016
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
11842016
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
10682017
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
7842014
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
5592022
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
4842011
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
4652018
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
4112017
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
3882015
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
3732018
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
3532020
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
2962019
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
2872013
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
2742014
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
2622018
Deep materials informatics: Applications of deep learning in materials science
A Agrawal, A Choudhary
Mrs Communications 9 (3), 779-792, 2019
2502019
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
2402012
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
2262016
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
2042018
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
1752019
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