Alok Choudhary

Electrical and Computer Engineering Northwestern University, Evanston, IL 
Computer Science
"Alok Choudhary"


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Sachin S. More grad student 2000 Northwestern
Anshuman Nayak grad student 2001 Northwestern
Jayaprakash Pisharath grad student 2005 Northwestern
Joseph A. Zambreno grad student 2006 Northwestern
Kenin Coloma grad student 2007 Northwestern
Berkin Ozisikyilmaz grad student 2009 Northwestern
Abhishek Das grad student 2010 Northwestern
Arifa Nisar grad student 2010 Northwestern
Sanchit Misra grad student 2011 Northwestern
Prabhat Kumar grad student 2012 Northwestern
Kunpeng Zhang grad student 2013 Northwestern
Daniel Honbo grad student 2014 Northwestern
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Jha D, Choudhary K, Tavazza F, et al. (2019) Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning. Nature Communications. 10: 5316
Paul A, Furmanchuk A, Liao WK, et al. (2019) Property Prediction of Organic Donor Molecules for Photovoltaic Applications Using Extremely Randomized Trees. Molecular Informatics
Jha D, Ward L, Paul A, et al. (2018) ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition. Scientific Reports. 8: 17593
Jha D, Singh S, Al-Bahrani R, et al. (2018) Extracting Grain Orientations from EBSD Patterns of Polycrystalline Materials Using Convolutional Neural Networks. Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada. 24: 497-502
Furmanchuk A, Saal JE, Doak JW, et al. (2017) Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. Journal of Computational Chemistry
Al-Bahrani R, Agrawal A, Choudhary A. (2017) Survivability prediction of colon cancer patients using neural networks. Health Informatics Journal. 1460458217720395
Gagorik AG, Savoie BM, Jackson NE, et al. (2016) Improved Scaling of Molecular Network Calculations: The Emergence of Molecular Domains. The Journal of Physical Chemistry Letters
Agrawal A, Choudhary A. (2016) Perspective: Materials informatics and big data: Realization of the "fourth paradigm" of science in materials science Apl Materials. 4
Liu R, Yabansu YC, Agrawal A, et al. (2015) Machine learning approaches for elastic localization linkages in high-contrast composite materials. Integrating Materials and Manufacturing Innovation. 4: 192-208
Liu R, Kumar A, Chen Z, et al. (2015) A predictive machine learning approach for microstructure optimization and materials design. Scientific Reports. 5: 11551
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