Corey Oses

Materials Science, Duke University

corey.oses@duke.edu

phone

(W) +1 (919) 684 1553

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link · citations: 2796 (YTD 503) · h-index: 21

Education

Ph.D.

2013–2018

Duke University

Department: Mechanical Engineering and Materials Science

Thesis: Machine learning, phase stability, and disorder with the Automatic Flow Framework for Materials Discovery

DukeSpace: link

Advisor: S. Curtarolo

B.Sc.

2009–2013

Cornell University

Department: Applied and Engineering Physics

Thesis: Plume Propagation Simulation for Pulsed Laser Deposition

Advisor: J. Brock

Journal Publications

2022

Under Review

The Microscopic Diamond Anvil Cell: Stabilization of Superhard, Superconducting Carbon Allotropes at Ambient Pressure

Authors: X. Wang, D. M. Proserpio, C. Oses, C. Toher, S. Curtarolo & E. Zurek

arXiv: 2204.03231

Electronic Structure

Roadmap on Machine Learning in Electronic Structure

Electron. Struct. in press (2022)

Authors: H. J. Kulik, T. Hammerschmidt, J. Schmidt, S. Botti, M. A. L. Marques, M. Boley, M. Scheffler, M. Todorović, P. Rinke, C. Oses, A. Smolyanyuk, S. Curtarolo, A. Tkatchenko, A. P. Bartók, S. Manzhos, M. Ihara, T. Carrington, J. Behler, O. Isayev, M. Veit, A. Grisafi, J. Nigam, M. Ceriotti, K. T. Schütt, J. Westermayr, M. Gastegger, R. J. Maurer, B. Kalita, K. Burke, R. Nagai, R. Akashi, O. Sugino, J. Hermann, F. Noé, S. Pilati, C. Draxl, M. Kuban, S. Rigamonti, M. Scheidgen, M. Esters, D. Hicks, C. Toher, P. V. Balachandran, I. Tamblyn, S. Whitelam, C. Bellinger & L. M. Ghiringhelli

DOI: 10.1088/2516-1075/ac572f

MRS Bulletin

High-entropy ceramics: Propelling applications through disorder

MRS Bull. in press (2022)

Authors: C. Toher, C. Oses, M. Esters, D. Hicks, G. N. Kotsonis, C. M. Rost, D. W. Brenner, J.-P. Maria & S. Curtarolo

DOI: 10.1557/s43577-022-00281-x

Frontiers in Physics

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping

Front. Phys. 10, 815863 (2022)

Authors: A. G. Kusne, A. McDannald, B. DeCost, C. Oses, C. Toher, S. Curtarolo, A. Mehta & I. Takeuchi

DOI: 10.3389/fphy.2022.815863

2021

Nature Communications

Settling the matter of the role of vibrations in the stability of high-entropy carbides

Nat. Commun. 12, 5747 (2021)

Authors: M. Esters, C. Oses, D. Hicks, M. J. Mehl, M. Jahnátek, M. D. Hossain, J.-P. Maria, D. W. Brenner, C. Toher & S. Curtarolo

This paper was selected for Editors' Highlight by Springer Nature (2021).

DOI: 10.1038/s41467-021-25979-5

Advanced Materials

Entropy Landscaping of High-Entropy Carbides

Adv. Mater. 33(42), 2102904 (2021)

Authors: M. D. Hossain, T. Borman, C. Oses, M. Esters, C. Toher, L. Feng, A. Kumar, W. G. Fahrenholtz, S. Curtarolo, D. W. Brenner, J. M. LeBeau & J.-P. Maria

DOI: 10.1002/adma.202102904

Scientific Data

OPTIMADE: an API for exchanging materials data

Sci. Data 8, 217 (2021)

Authors: C. W. Andersen^†, R. Armiento^†, E. Blokhin^†, G. J. Conduit^†, S. Dwaraknath^†, M. L. Evans^†, Á. Fekete^†, A. Gopakumar^†, S. Gražulis^†, A. Merkys^†, F. Mohamed^†, C. Oses^†, G. Pizzi^†, G.-M. Rignanese^†, M. Scheidgen^†, L. Talirz^†, C. Toher^†, D. Winston^†, R. Aversa, K. Choudhary, P. Colinet, S. Curtarolo, D. Di Stefano, C. Draxl, S. Er, M. Esters, M. Fornari, M. Giantomassi, M. Govoni, G. Hautier, V. Hegde, M. K. Horton, P. Huck, G. Huhs, J. Hummelshøj, A. Kariryaa, B. Kozinsky, S. Kumbhar, M. Liu, N. Marzari, A. J. Morris, A. Mostofi, K. A. Persson, G. Petretto, T. Purcell, F. Ricci, F. Rose, M. Scheffler, D. Speckhard, M. Uhrin, A. Vaitkus, P. Villars, D. Waroquiers, C. Wolverton, M. Wu & X. Yang

^† contributed equally

DOI: 10.1038/s41597-021-00974-z

Physical Review Materials

Automated coordination corrected enthalpies with AFLOW-CCE

Phys. Rev. Mater. 5, 043803 (2021)

Authors: R. Friedrich, M. Esters, C. Oses, S. Ki, M. J. Brenner, D. Hicks, M. J. Mehl, C. Toher & S. Curtarolo

DOI: 10.1103/PhysRevMaterials.5.043803

Computational Materials Science

The AFLOW Library of Crystallographic Prototypes: Part 3

Comput. Mater. Sci. 199, 110450 (2021)

Authors: D. Hicks, M. J. Mehl, M. Esters, C. Oses, O. Levy, G. L. W. Hart, C. Toher & S. Curtarolo

DOI: 10.1016/j.commatsci.2021.110450

Physical Review Materials

Tin-pest problem as a test of density functionals using high-throughput calculations

Phys. Rev. Mater. 5, 083608 (2021)

Authors: M. J. Mehl, M. Ronquillo, D. Hicks, M. Esters, C. Oses, R. Friedrich, A. Smolyanyuk, E. Gossett, D. Finkenstadt & S. Curtarolo

DOI: 10.1103/PhysRevMaterials.5.083608

Acta Materialia

Carbon Stoichiometry and Mechanical Properties of High Entropy Carbides

Acta Mater. 215, 117051 (2021)

Authors: M. D. Hossain^†, T. Borman^†, A. Kumar, X. Chen, A. Khosravani, S. R. Kalidindi, E. A. Paisley, M. Esters, C. Oses, C. Toher, S. Curtarolo, J. M. LeBeau, D. W. Brenner & J.-P. Maria

^† contributed equally

DOI: 10.1016/j.actamat.2021.117051

2020

Nature Communications

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

Nat. Commun. 11, 5966 (2020)

Authors: A. G. Kusne^†, H. Yu^†, C. Wu, H. Zhang, J. Hattrick-Simpers, B. DeCost, S. Sarker, C. Oses, C. Toher, S. Curtarolo, A. V. Davydov, R. Agarwal, L. A. Bendersky, M. Li, A. Mehta & I. Takeuchi

^† contributed equally

DOI: 10.1038/s41467-020-19597-w

npj Computational Materials

Discovery of novel high-entropy ceramics via machine learning

npj Comput. Mater. 6, 42 (2020)

Authors: K. Kaufmann, D. Maryanovsky, W. M. Mellor, C. Zhu, A. S. Rosengarten, T. J. Harrington, C. Oses, C. Toher, S. Curtarolo & K. S. Vecchio

DOI: 10.1038/s41524-020-0317-6

Nature Reviews Materials

High-entropy ceramics

Nat. Rev. Mater. 5, 295–309 (2020)

Authors: C. Oses, C. Toher & S. Curtarolo

This paper was highlighted as a "hot paper" by Web of Science (Clarivate Analytics) (November 16, 2021).

DOI: 10.1038/s41578-019-0170-8

2019

Acta Materialia

Metallic glasses for biodegradable implants

Acta Mater. 176, 297–305 (2019)

Authors: D. C. Ford, D. Hicks, C. Oses, C. Toher & S. Curtarolo

DOI: 10.1016/j.actamat.2019.07.008

npj Computational Materials

Predicting Superhard Materials via a Machine Learning Informed Evolutionary Structure Search

npj Comput. Mater. 5, 89 (2019)

Authors: P. Avery, X. Wang, C. Oses, E. Gossett, D. M. Proserpio, C. Toher, S. Curtarolo & E. Zurek

DOI: 10.1038/s41524-019-0226-8

npj Computational Materials

Unavoidable disorder and entropy in multi-component systems

npj Comput. Mater. 5, 69 (2019)

Authors: C. Toher, C. Oses, D. Hicks & S. Curtarolo

DOI: 10.1038/s41524-019-0206-z

npj Computational Materials

Coordination corrected ab initio formation enthalpies

npj Comput. Mater. 5, 59 (2019)

Authors: R. Friedrich, D. Usanmaz, C. Oses, A. R. Supka, M. Fornari, M. Buongiorno Nardelli, C. Toher & S. Curtarolo

DOI: 10.1038/s41524-019-0192-1

Physical Review Materials

AFLOW-QHA3P: Robust and automated method to compute thermodynamic properties of solids

Phys. Rev. Mater. 3, 073801 (2019)

Authors: P. Nath, D. Usanmaz, D. Hicks, C. Oses, M. Fornari, M. Buongiorno Nardelli, C. Toher & S. Curtarolo

DOI: 10.1103/PhysRevMaterials.3.073801

2018

Journal of Chemical Information and Modeling

AFLOW-CHULL: Cloud-oriented platform for autonomous phase stability analysis

J. Chem. Inf. Model. 58(12), 2477–2490 (2018)

Authors: C. Oses, E. Gossett, D. Hicks, F. Rose, M. J. Mehl, E. Perim, I. Takeuchi, S. Sanvito, M. Scheffler, Y. Lederer, O. Levy, C. Toher & S. Curtarolo

DOI: 10.1021/acs.jcim.8b00393

MRS Bulletin

Data-driven design of inorganic materials with the Automatic Flow Framework for Materials Discovery

MRS Bull. 43(9), 670–675 (2018)

Authors: C. Oses, C. Toher & S. Curtarolo

DOI: 10.1557/mrs.2018.207

Nature Communications

High-entropy high-hardness metal carbides discovered by entropy descriptors

Nat. Commun. 9, 4980 (2018)

Authors: P. Sarker^†, T. J. Harrington^†, C. Toher, C. Oses, M. Samiee, J.-P. Maria, D. W. Brenner, K. S. Vecchio & S. Curtarolo

^† contributed equally

DOI: 10.1038/s41467-018-07160-7

npj Computational Materials

Machine learning modeling of superconducting critical temperature

npj Comput. Mater. 4, 29 (2018)

Authors: V. Stanev, C. Oses, A. G. Kusne, E. Rodriguez, J. Paglione, S. Curtarolo & I. Takeuchi

DOI: 10.1038/s41524-018-0085-8

Computational Materials Science

AFLOW-ML: A RESTful API for machine-learning prediction of materials properties

Comput. Mater. Sci. 152, 134–145 (2018)

Authors: E. Gossett, C. Toher, C. Oses, O. Isayev, F. Legrain, F. Rose, E. Zurek, J. Carrete, N. Mingo, A. Tropsha & S. Curtarolo

This paper was selected for Editors' Choice by Elsevier (2018).

DOI: 10.1016/j.commatsci.2018.03.075

Acta Crystallographica Section A

AFLOW-SYM: platform for the complete, automatic and self-consistent symmetry analysis of crystals

Acta Cryst. A 74, 184–203 (2018)

Authors: D. Hicks, C. Oses, E. Gossett, G. Gomez, R. H. Taylor, C. Toher, M. J. Mehl, O. Levy & S. Curtarolo

DOI: 10.1107/S2053273318003066

2017

Inorganic Chemistry

The structure and composition statistics of 6A binary and ternary structures

Inorg. Chem. 57(2), 653–667 (2017)

Authors: A. Hever, C. Oses, S. Curtarolo, O. Levy & A. Natan

DOI: 10.1021/acs.inorgchem.7b02462

Computational Materials Science

AFLUX: The LUX materials search API for the AFLOW data repositories

Comput. Mater. Sci. 137, 362–370 (2017)

Authors: F. Rose, C. Toher, E. Gossett, C. Oses, M. Buongiorno Nardelli, M. Fornari & S. Curtarolo

This paper was selected for Editors' Choice by Elsevier (2017).

DOI: 10.1016/j.commatsci.2017.04.036

Nature Communications

Universal Fragment Descriptors for Predicting Properties of Inorganic Crystals

Nat. Commun. 8, 15679 (2017)

Authors: O. Isayev^†, C. Oses^†, C. Toher, E. Gossett, S. Curtarolo & A. Tropsha

^† contributed equally

DOI: 10.1038/ncomms15679

Physical Review Materials

Combining the AFLOW GIBBS and elastic libraries to efficiently and robustly screening thermomechanical properties of solids

Phys. Rev. Mater. 1, 015401 (2017)

Authors: C. Toher, C. Oses, J. J. Plata, D. Hicks, F. Rose, O. Levy, M. de Jong, M. Asta, M. Fornari, M. Buongiorno Nardelli & S. Curtarolo

DOI: 10.1103/PhysRevMaterials.1.015401

Acta Materialia

A Computational High-Throughput Search for New Ternary Superalloys

Acta Mater. 122, 438–447 (2017)

Authors: C. Nyshadham, C. Oses, J. E. Hansen, I. Takeuchi, S. Curtarolo & G. L. W. Hart

DOI: 10.1016/j.actamat.2016.09.017

Science Advances

Accelerated Discovery of New Magnets in the Heusler Alloy Family

Sci. Adv. 3(4), e1602241 (2017)

Authors: S. Sanvito, C. Oses, J. Xue, A. Tiwari, M. Žic, T. Archer, P. Tozman, M. Venkatesan, J. M. D. Coey & S. Curtarolo

DOI: 10.1126/sciadv.1602241

2016

Physical Review X

High-Throughput Computation of Thermal Conductivity of High-Temperature Solid Phases: The Case of Oxide and Fluoride Perovskites

Phys. Rev. X 6(4), 041061 (2016)

Authors: A. van Roekeghem, J. Carrete, C. Oses, S. Curtarolo & N. Mingo

DOI: 10.1103/PhysRevX.6.041061

Chemistry of Materials

Modeling Off-Stoichiometry Materials with a High-Throughput Ab-Initio Approach

Chem. Mater. 28(18), 6484–6492 (2016)

Authors: K. Yang, C. Oses & S. Curtarolo

DOI: 10.1021/acs.chemmater.6b01449

2015

Computational Materials Science

The AFLOW Standard for High-Throughput Materials Science Calculations

Comput. Mater. Sci. 108A, 233–238 (2015)

Authors: C. E. Calderon, J. J. Plata, C. Toher, C. Oses, O. Levy, M. Fornari, A. Natan, M. J. Mehl, G. L. W. Hart, M. Buongiorno Nardelli & S. Curtarolo

This paper was selected for Editors' Choice by Elsevier (2015).

DOI: 10.1016/j.commatsci.2015.07.019

Chemistry of Materials

Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints

Chem. Mater. 27(3), 735–743 (2015)

Authors: O. Isayev, D. Fourches, E. N. Muratov, C. Oses, K. M. Rasch, A. Tropsha & S. Curtarolo

This paper was selected for Editors' Choice by the American Chemical Society (2015).

DOI: 10.1021/cm503507h

Book Publications

2019

Book Chapter

Automated computation of materials properties

Materials Informatics: Methods, Tools and Applications, Ch. 7

Authors: C. Toher, C. Oses & S. Curtarolo

URL: wiley.com/en-us/Materials+Informatics%3A+Methods%2C+Tools%2C+and+Applications-p-9783527802272

2018

Book Chapter

Machine learning and high-throughput approaches to magnetism

Handbook of Materials Modeling. Volume 2 Applications: Current and Emerging Materials

Authors: S. Sanvito, M. Žic, J. Nelson, T. Archer, C. Oses & S. Curtarolo

DOI: 10.1007/978-3-319-50257-1_108-1

Book Chapter

The AFLOW Fleet for Materials Discovery

Handbook of Materials Modeling. Volume 1 Methods: Theory and Modeling

Authors: C. Toher, C. Oses, D. Hicks, E. Gossett, F. Rose, P. Nath, D. Usanmaz, D. C. Ford, E. Perim, C. E. Calderon, J. J. Plata, Y. Lederer, M. Jahnátek, W. Setyawan, S. Wang, J. Xue, K. M. Rasch, R. V. Chepulskii, R. H. Taylor, G. Gomez, H. Shi, A. R. Supka, R. Al Rahal Al Orabi, P. Gopal, F. T. Cerasoli, L. Liyanage, H. Wang, I. Siloi, L. A. Agapito, C. Nyshadham, G. L. W. Hart, J. Carrete, F. Legrain, N. Mingo, E. Zurek, O. Isayev, A. Tropsha, S. Sanvito, R. M. Hanson, I. Takeuchi, M. J. Mehl, A. N. Kolmogorov, K. Yang, P. D'Amico, A. Calzolari, M. Costa, R. De Gennaro, M. Buongiorno Nardelli, M. Fornari, O. Levy & S. Curtarolo

DOI: 10.1007/978-3-319-42913-7_63-1

Teaching Experience

Co-Instructor

Spring 2021

ME 555: Applications of Artificial Intelligence in Materials, Duke University Department of Mechanical Engineering and Materials Science

Teaching Assistant

Spring 2020

ME 555: Computational Materials Science by Examples and Applications, Duke University Department of Mechanical Engineering and Materials Science

Teaching Assistant

Fall 2014–Spring 2015

ME 221: Structure and Properties of Solids, Duke University Department of Mechanical Engineering and Materials Science

Best Teaching Assistant Award, August 14, 2015

Workshops

Organizer And Presenter

2022

AFLOW School: Integrated infrastructure for computational materials discovery

Co-Organizers: C. Toher, M. Esters, D. Hicks, F. Rose, E. Gossett, A. Smolyanyuk, M. J. Brenner, R. Friedrich & S. Curtarolo

Organizer and presenter at the East African Institute for Fundamental Research, University of Rwanda, Kigali, Rwanda — February 21–24, 2022.

Organizer and presenter at the Technische Universität (TU) Dresden and Helmholtz-Zentrum Dresden-Rossendorf — September 6–10, 2021.
- "Introduction to Density Functional Theory: VASP" recording: youtu.be/_RsQH3TY7kI
- "Thermodynamics: AFLOW-CHULL" recording: youtu.be/zcY7gTZIB-Y
- "Disorder: AFLOW-POCC" recording: youtu.be/lcDSYiF4AS4

Organizer and presenter at the University of Virginia, Charlottesville, Virginia — August 17, 2021.
- "Thermodynamics: AFLOW-CHULL and AFLOW-CCE" recording: youtu.be/cLhOcN1sQ7M

Presenter for the Machine Learning for Materials Research Bootcamp & Workshop on Machine Learning Quantum Materials of NIST/Moore Foundation/University of Maryland, Institute for Bioscience & Biotechnology Research in Gaithersburg, Maryland — July 29, 2021.
- "Materials Database and Machine Learning: AFLOW-ML" recording: youtu.be/uFQ-lyTaxCc

Organizer and presenter at Texas A&M University, College Station, Texas — July 12–15, 2021.
- "Introduction to Density Functional Theory: VASP" recording: youtu.be/KXnJGdVgosA
- "Thermodynamics: AFLOW-CHULL and AFLOW-CCE" recording: youtu.be/ElaniAcrbhU
- "Disorder: AFLOW-POCC" recording: youtu.be/D_cfHIlpBiA

Session Chair for the Virtual Spring Meeting of the Materials Research Society — April 17, 2021.

Presenter for the Materials 4.0 Summer School 2020 at the Dresden Center for Computational Materials Science (DCMS), Technische Universität (TU) Dresden — August 18, 2020.
- "Thermodynamics: AFLOW-CHULL" recording: youtu.be/ncm356YNBVc

Presenter for the Machine Learning for Materials Research Bootcamp & Workshop on Machine Learning Quantum Materials of NIST/Moore Foundation/University of Maryland, Institute for Bioscience & Biotechnology Research in Gaithersburg, Maryland — July 23, 2020.
- "Materials Database and Machine Learning: AFLOW-ML" recording: youtu.be/x2qeBtOXues

Organizer and presenter at Texas A&M University, College Station, Texas — June 16–18, 2020.
- "Introduction to Density Functional Theory: VASP" recording: youtu.be/ChySAfo2w7g
- "Thermodynamics: AFLOW-CHULL" recording: youtu.be/9Sa8D4inJ5w
- "Disorder: AFLOW-POCC" recording: youtu.be/xr-mU-1ShQQ

Presenter for the Machine Learning for Materials Research Bootcamp & Workshop on Machine Learning Quantum Materials of NIST/Moore Foundation/University of Maryland, Institute for Bioscience & Biotechnology Research in Gaithersburg, Maryland — August 05, 2019.

Organizer and presenter at the University of Pennsylvania, Philadelphia, Pennsylvania — May 03, 2019.

Organizer and presenter at the North Carolina State University, Raleigh, North Carolina — March 12, 2019.

Organizer and presenter at Carnegie Mellon University, Pittsburgh, Pennsylvania — January 21, 2019.

Presenter for the Machine Learning for Materials Research Bootcamp & Workshop on Machine Learning Quantum Materials of NIST/Moore Foundation/University of Maryland, Institute for Bioscience & Biotechnology Research in Gaithersburg, Maryland — August 02, 2018.

Press and News Releases

White House Office of Science & Technology Policy

November 18, 2021

"Featured Vignette in the November 2021 Materials Genome Initiative Strategic Plan (page 9)"

mgi.gov/sites/default/files/documents/MGI-2021-Strategic-Plan.pdf

University of Buffalo

September 2019

"Scientists predict new forms of superhard carbon"

This press release is featured on Phys.org, ScienceDaily, SciTechDaily, and Tribonet.

buffalo.edu/ubnow/stories/2019/09/zurek-superhard-carbon.html

Duke University Pratt School of Engineering

November 2018

"Disordered Materials Could Be Hardest, Most Heat-Tolerant Ever"

This press release is featured on AAAS EurekAlert!, Phys.org, ScienceDaily, Science Bulletin, Naaju, NewsBeezer, RemoNews, Tech2, and LongRoom News.

pratt.duke.edu/about/news/chaotic-carbides

MRS Bulletin

August 2017

"Universal fragment descriptor predicts materials properties"

cambridge.org/core/journals/mrs-bulletin/news/universal-fragment-descriptor-predicts-materials-properties

UNC Eshelman School of Pharmacy

June 2017

"Breakthrough Tool Predicts Properties of Theoretical Materials, Finds New Uses for Current Ones"

This press release is featured on AAAS EurekAlert!, Phys.org, and ScienceDaily.

pharmacy.unc.edu/news/2017/06/06/breakthrough-tool-predicts-properties-theoretical-materials-finds-new-uses-current-ones/

Duke University Pratt School of Engineering

April 2017

"Computers Create Recipe for Two New Magnetic Materials"

This press release is featured on Phys.org, Slashdot, Hacker News, Reddit, Engadget, Engineering.com, Science Alert, Azo Materials, Next Big Future, Futurism, New Atlas, and International Business Times.

pratt.duke.edu/about/news/predicting-magnets

MRS Bulletin

April 2015

"Materials fingerprints identified for informatics"

doi.org/10.1557/mrs.2015.76

Computational Chemistry Highlights

January 2015

"Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints"

"This paper is a tour de force for computational materials science" — Prof. Aspuru-Guzik.

compchemhighlights.org/2015/01/materials-cartography-representing-and.html

Duke University Research

January 2015

"Molecular Tornado"

research.duke.edu/molecular-tornado

Duke University Graduate School

October 2014

"Competing for NSF Fellowships: Advice from a Current Fellow"

gradschool.duke.edu/professional-development/blog/competing-nsf-fellowships-advice-current-fellow

ERN Conference 2013

February 2013

"2013 Oral and Poster Presentation Award Winners"

new.emerging-researchers.org/2013-oral-and-poster-presentation-winners

Honors and Awards

Publication Award

November 16, 2021

"Hot paper", Publication in Nat. Rev. Mater., Web of Science (Clarivate Analytics)

Published in the past two years and received enough citations in July/August 2021 to place it in the top 0.1% of papers in the academic field of Materials Science

Publication Award

2021

Editors' Highlight, Publication in Nat. Commun., Springer Nature

Publication Award

2018

Editors' Choice, Publication in Comput. Mater. Sci., Elsevier

Publication Award

2017

Editors' Choice, Publication in Comput. Mater. Sci., Elsevier

Award

August 14, 2015

Best Teaching Assistant Award (ME 221), Duke University Department of Mechanical Engineering and Materials Science

Publication Award

2015

Editors' Choice, Publication in Comput. Mater. Sci., Elsevier

Publication Award

2015

Editors' Choice, Publication in Chem. Mater., American Chemical Society

Fellowship

2013–2016

Graduate Research Fellowship, National Science Foundation

Award

August 22, 2013

Best Presentation Award at the MEMS Departmental Retreat, Duke University Department of Mechanical Engineering and Materials Science

Award

March 02, 2013

First Place in Nanoscience and Physics Research Presentation, NSF / AAAS / EHR Emerging Researchers National Conference

Scholarship

2011–2013

Shell Incentive Fund Scholarship

Scholarship

2010 & 2011

Xerox Corporation Scholarship

Scholarship

2010 & 2011

Intel Academic Award

Grant

June 18, 2010

Cornell University Unmanned Air Systems Team awarded $1,000 grant, AUVSI Student Unmanned Aerial Systems Competition

Scholarship

2009–2013

Meinig Family Cornell National Scholars

Awarded by Peter Meinig (Past Chairman of the Board of Trustees at Cornell University)