JARVIS

Presentations

51) K. Choudhary, NIST-JARVIS & Computational Database of Topological Materials, Lawrence Berkeley National Lab, Berkeley, California, February 28, 2020. (Invited)

50) K. Choudhary, Accelerated Discovery of Efficient Solar Cell Materials Using Quantum and Machine-Learning Methods, TMS conference, San Diego, February 26, 2020.

49) K. Choudhary, High-throughput Discovery of Topologically Non-trivial Materials using Spin-orbit Spillage, TMS conference, San Diego, February 25, 2020.

48) K. Choudhary, NIST-JARVIS & Computational Database of Topological Materials, George Mason University, Physics Colloquium, Virginia, February 21, 2020. (Invited)

47) K. Choudhary, NIST-JARVIS Database & Data-driven Discovery and Characterization of 2D Materials, USA Governent 2D workshp, Maryland, February 3, 2020.

46) K. Choudhary, Accelerated Discovery of Efficient Solar Cell Materials Using Quantum and Machine-Learning Methods, American Ceramic Society: EMA meeting, Orlando, Florida, January 23, 2020.

45) K. Choudhary, Database of Topological Materials & Spin-orbit Spillage, American Ceramic Society: EMA meeting, Orlando, Florida, January 23, 2020.

44) K. Choudhary, Predictions of Infrared, Piezoelectric and Dielectric Responses, American Ceramic Society: EMA meeting, Orlando, Florida, January 22, 2020.

43) K. Choudhary, Database of Topological Materials & Spin-orbit Spillage, Materials Research Society: Fall meeting, Boston, December 3, 2019.

42) K. Choudhary, JARVIS-ML Machine-learning assisted Materials Discovery & Characterization, University of Maryland:IBBR colloquium, Maryland, October 30, 2019. (Invited)

41) K. Choudhary, JARVIS-ML: Physics inspired AI for fast and accurate screening of materials : Crystals, Surfaces, Grain-boundaries, Molecules, Proteins, Aalto University, Finland, May 9, 2019.

40) K. Choudhary, Smart Metrics for High-Performance Material-Design, Rutgers University, New Jersey, October 07, 2019. (Invited)

39) K. Choudhary, Smart Metrics for High-Performance Material-Design, Oak Ridge National Lab: CNMS workshop, Tenneesse, August 14, 2019. (Invited)

38) K. Choudhary, Smart Metrics for High-Performance Material-Design, Artificial Intelligence for Materials Science workshop,NIST,Maryland, August 1, 2019.

37) K. Choudhary, Johns Hopkins PARADIM summer school, Johns Hopkins University, Maryland, June 20, 2019 (Invited).

36) K. Choudhary, JARVIS Databases and Tools for High-throughput Computation and Machine-learning, University of Nevada, Las Vegas, April 19, 2019 (Invited).

35) K. Choudhary, Unified Machine-learning Models for Materials: Crystals, Surfaces, Molecules, Proteins, U. Wyoming, April 10, 2019 (Invited).

34) F. Tavazza, Elastic Properties of Bulk and Low-dimensional Materials Using DFT with Van Der Waals Functional, TMS, San Antonio, Mar.11, 2019.

33) K. Choudhary, Unified Machine-learning Models for Materials: Crystals, Surfaces, Molecules, Proteins, TMS, San Antonio, Mar.14, 2019.

32) K. Choudhary, Computational Database of 3D and 2D materials, TMS, San Antonio, Mar.11, 2019.

31) K. Choudhary, Database of Topological Materials & Spin-orbit Spillage , American Physical Society, Boston, Nov 30, 2018.

30) K. Choudhary, Machine learning with force-field-inspired descriptors for materials: Fast screening and mapping energy landscape, MRS, Boston, Nov 20, 2018.

29) K. Choudhary, Accelerated Materials Discovery & Characterization with Quantum and Machine learning approaches, IIT BHU, Nov. 19, 2018.

28) K. Choudhary, Accelerated Materials Discovery & Characterization with Quantum and Machine learning approaches, PARADIM, Johns Hopkins Univ., Nov. 14, 2018.

27) K Choudhary, 2D/3D materials screening and genetic algorithm with ML model, AIMS workshop, August 07, 2018, NIST, Maryland.

26) K. Choudhary, 2D/3D materials screening and genetic algorithm with ML model,August 02, 2018, University of Maryland, MLMR, 2018.

25) F. Tavazza, Novel NIST databases to aid Material Discovery, July 30, 2018, WCCM, 2018, New York.

24) K Choudhary, Physics inspired artificial intelligence/machine learning , Google:DevFestDC, June 08, 2018, Virginia.

23) K. Choudhary, Joint Automated Repository for Various Integrated Simulations, Mar. 19, 2018, Citrine Informatics, 2018, California.

22) K. Choudhary, Joint Automated Repository for Various Integrated Simulations, Mar. 16, 2018, Google Inc., 2018, California.

21) K. Choudhary, Utilizing Error in First-principle Lattice Constants to Discover Novel Low-dimensional Materials (TMS), Mar. 15, 2018, Phoenix, AZ.

20) K. Choudhary, High-throughput Evaluation and Comparison of Classical Interatomic-potentials: Structural, Elastic, Defect, Surface and Phonon Properties (TMS), Mar. 13, 2018, Phoenix, AZ.

19) K. Choudhary, Computational Screening of Novel Two-dimensional Topological Insulators and Layer-dependent Properties, TMS, Mar. 12, 2018, Phoenix, AZ.

18) K. Choudhary, Towards Efficient Optoelectronic Material Design using Density Functional Theory, Experiments and Machine Learning, Electronic and Advanced Materials (American Ceramic Society), Jan. 19, 2018, Orlando.

17) F. Tavazza, UQ associated to controlled approximations in DFT, Institute for Pure and Applied Mathematics, October 1, 2017, UCLA.

16) K. Choudhary, High-throughput Identification and Characterization of Two-dimensional Materials Using Density Functional Theory, Energy Materials, December 06, 2017, Dallas (Invited).

15) K. Choudhary, High-throughput Identification and Characterization of Two-dimensional Materials Using Density Functional Theory, Materials Sciece and Technology (MS & T), October 09, 2017.

14) K. Choushary, Classical Force-field and Quantum Density Functional Theory Database, Applied Crystallography , October 16, 2017, Chicago (Invited).

13) K. Choudhary, High-throughput Identification and Characterization of Two-dimensional Materials Using Density Functional Theory, American Chemical Society, August 20, 2017, Washington D.C.

12) K. Choudhary, Computational Discovery of Two-Dimensional Materials, Society for Industrial and Applied Mathematics (SIAM), July 12, 2017, Pittsburg, Pennsylvania (Invited).

11) K. Choudhary, High-throughput Identification and Characterization of Two-dimensional Materials Using Density Functional Theory, Annual Workshop on Recent Developments in Electronic Structure Methods, Poster presentation, June 25, 2017, Princeton University, Princeton, New Jersey.

10) K. Choudhary, High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory, Graphene and Beyond , May 9-12, 2017, Penn State University, Pennsylvania.

9) K. Choudhary, Computational Discovery of Two-Dimensional Materials, Evaluation of Force-Fields and Machine Learning, Integrated Computational Materials Engineering, May 24, 2017, Ypsilanti, Michigan.

8) K Choudhary, Computational Discovery of Two-Dimensional Materials, Evaluation of Force-Fields and Machine Learning , Northwestern University, CHIMAD Seminar, May 19, 2017, Evanston, Illinois (Invited).

7) K. Choudhary, Structural and Vibrational Properties of MoTe2 Polymorph and JARVIS database, The Minerals, Metals & Materials Society (TMS), March 1, 2017, San Diego, California.

6) K. Choudhary, Evaluation and comparison of classical interatomic potentials through a user-friendly interactive web-interface, The Minerals, Metals & Materials Society (TMS), March 1, 2017, San Diego, California.

5) K. Choudhary, High-throughput Characterization of Materials using Molecular-Dynamics and Density functional theory, March 21, 2017, Wright State University and Air-force research lab (AFRL), HPC Enabled Data Analytics Workshop, Dayton, Ohio (Invited).

4) K. Choudhary, Computational Discovery of Two-Dimensional Materials, Evaluation of Force-Fields and Machine Learning, Group Seminar, Kieron Burke, Feb 28, 2017, University of California, Irvine.

3) K Choudhary, High-throughput Density Functional Theory for Optoelectronic Materials, Evaluation of Force-Fields and Machine Learning, NIST Baglunch Seminar, Feb 22, 2017, Gaithersburg, Maryland.

2) K. Choudhary, Evaluation and comparison of classical interatomic potentials through a user-friendly interactive web-interface, LAMMPS tutorial and Materials Simulation Symposium, August 15-19, 2016, Temple University, Philadelphia, Pennsylvania.

1) K. Choudhary, Evaluation and comparison of classical interatomic potentials through a user-friendly interactive web-interface, NIST Sigma Xi poster presentation, April 20, 2016, NIST, Gaithersburg, Maryland.



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