Corey Oses

Materials Science, Duke University

Personal Information

email
corey.oses@duke.edu
phone
(W) +1 (919) 684 1553
CV
pdf
Google Scholar
link

Work Experience

Postdoctoral Fellow
2018–present
Duke University
Supervisor: Stefano Curtarolo
Internship
Summer 2013
Cornell High Energy Synchrotron Source (BioSAXS on F2 and G Beamlines)
Supervisors: Richard E. Gillilan & Ernest Fontes
Internship
Summer 2012
Cornell High Energy Synchrotron Source (Capillary Optics Group)
Supervisors: Rong Huang & Ernest Fontes

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

ProQuest: link

Advisor: Stefano Curtarolo

B.Sc.
2009–2013
Cornell University

Department: Applied and Engineering Physics

Thesis: Plume Propagation Simulation for Pulsed Laser Deposition

Advisor: Joel Brock

Press and News Releases

Duke University Pratt School of Engineering
November 2018
"Disordered Materials Could Be Hardest, Most Heat-Tolerant Ever"
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"
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"
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. Alán Aspuru-Guzik, Harvard University.
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
2018
Editor's Choice, Publication in Comput. Mater. Sci., Elsevier
Publication Award
2017
Editor's 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
Editor's Choice, Publication in Comput. Mater. Sci., Elsevier
Publication Award
2015
Editor's 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

Workshops

Organizer And Presenter
2020

AFLOW School: Integrated infrastructure for computational materials discovery

Co-Organizers: Cormac Toher, David Hicks, Marco Esters, Eric Gossett, Rico Friedrich, Max J. Brenner & Stefano Curtarolo

Organizer and presenter at the NIST/Moore Foundation/University of Maryland Machine Learning for Materials Research Bootcamp 2019 & Workshop on Machine Learning Quantum Materials, Institute for Bioscience & Biotechnology Research in Gaithersburg, Maryland — July 23, 2020. Organizer and presenter at the Texas A&M University AFLOW Multi-Day Workshop, College Station, Texas — June 16–18, 2020.

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

Organizer and presenter at the University of Pennsylvania AFLOW Full-Day Workshop, Philadelphia, Pennsylvania — May 03, 2019.

Organizer and presenter at the North Carolina State University AFLOW Full-Day Workshop, Raleigh, North Carolina — March 12, 2019.

Organizer and presenter at the Carnegie Mellon University AFLOW Full-Day Workshop, Pittsburgh, Pennsylvania — January 21, 2019.

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

Journal Publications

2020

Under Review
25

Toward Robot Science: Closed-Loop Autonomous System for Materials Exploration and Optimization (CAMEO)

Authors: Aaron Gilad Kusne†, Heshan Yu†, Changming Wu, Huairuo Zhang, Jason Hattrick-Simpers, Brian DeCost, Suchismita Sarker, Corey Oses, Cormac Toher, Stefano Curtarolo, Albert Davidov, Ritesh Agarwal, Leonid Bendersky, Mo Li, Apurva Mehta & Ichiro Takeuchi

† contributed equally

Under Review
24

Fermi energy engineering of enhanced toughness in high entropy carbides

Authors: Tyler J. Harrington†, Corey Oses†, Cormac Toher, William M. Mellor, Kevin Kaufmann, Joshua Gild, Andrew Wright, Jian Luo, Stefano Curtarolo & Kenneth S. Vecchio

† contributed equally

NPJ Computational Materials

23

Discovery of novel high-entropy ceramics via machine learning

NPJ Comput. Mater. 6(42) (2020)

Authors: Kevin Kaufmann, Daniel Maryanovsky, William M. Mellor, Chaoyi Zhu, Alexander S. Rosengarten, Tyler J. Harrington, Corey Oses, Cormac Toher, Stefano Curtarolo & Kenneth S. Vecchio

DOI: 10.1038/s41524-020-0317-6

Nature Reviews Materials

22

High-entropy ceramics

Nat. Rev. Mater. 5, 295–309 (2020)

Authors: Corey Oses, Cormac Toher & Stefano Curtarolo

DOI: 10.1038/s41578-019-0170-8

2019

Acta Materialia

21

Metallic glasses for biodegradable implants

Acta Mater. 176, 297–305 (2019)

Authors: Denise C. Ford, David Hicks, Corey Oses, Cormac Toher & Stefano Curtarolo

DOI: 10.1016/j.actamat.2019.07.008

NPJ Computational Materials

20

Predicting Superhard Materials via a Machine Learning Informed Evolutionary Structure Search

NPJ Comput. Mater. 5, 89 (2019)

Authors: Patrick Avery, Xiaoyu Wang, Corey Oses, Eric Gossett, Davide M. Proserpio, Cormac Toher, Stefano Curtarolo & Eva Zurek

DOI: 10.1038/s41524-019-0226-8

NPJ Computational Materials

19

Unavoidable disorder and entropy in multi-component systems

NPJ Comput. Mater. 5, 69 (2019)

Authors: Cormac Toher, Corey Oses, David Hicks & Stefano Curtarolo

DOI: 10.1038/s41524-019-0206-z

NPJ Computational Materials

18

Coordination corrected ab initio formation enthalpies

NPJ Comput. Mater. 5, 59 (2019)

Authors: Rico Friedrich, Demet Usanmaz, Corey Oses, Andrew R. Supka, Marco Fornari, Marco Buongiorno Nardelli, Cormac Toher & Stefano Curtarolo

DOI: 10.1038/s41524-019-0192-1

Physical Review Materials

17

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

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

Authors: Pinku Nath, Demet Usanmaz, David Hicks, Corey Oses, Marco Fornari, Marco Buongiorno Nardelli, Cormac Toher & Stefano Curtarolo

DOI: 10.1103/PhysRevMaterials.3.073801

2018

Journal of Chemical Information and Modeling

16

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

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

Authors: Corey Oses, Eric Gossett, David Hicks, Frisco Rose, Michael J. Mehl, Eric Perim, Ichiro Takeuchi, Stefano Sanvito, Matthias Scheffler, Yoav Lederer, Ohad Levy, Cormac Toher & Stefano Curtarolo

DOI: 10.1021/acs.jcim.8b00393

MRS Bulletin

15

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

MRS Bull. 43(9), 670–675 (2018)

Authors: Corey Oses, Cormac Toher & Stefano Curtarolo

DOI: 10.1557/mrs.2018.207

Nature Communications

14

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

Nat. Commun. 9, 4980 (2018)

Authors: Pranab Sarker†, Tyler J. Harrington†, Cormac Toher, Corey Oses, Mojtaba Samiee, Jon-Paul Maria, Donald W. Brenner, Kenneth S. Vecchio & Stefano Curtarolo

† contributed equally

DOI: 10.1038/s41467-018-07160-7

NPJ Computational Materials

13

Machine learning modeling of superconducting critical temperature

NPJ Comput. Mater. 4, 29 (2018)

Authors: Valentin Stanev, Corey Oses, Aaron Gilad Kusne, Efrain Rodriguez, Johnpierre Paglione, Stefano Curtarolo & Ichiro Takeuchi

DOI: 10.1038/s41524-018-0085-8

Computational Materials Science

12

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

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

Authors: Eric Gossett, Cormac Toher, Corey Oses, Olexandr Isayev, Fleur Legrain, Frisco Rose, Eva Zurek, Jesús Carrete, Natalio Mingo, Alexander Tropsha & Stefano Curtarolo

  • This paper was selected for Editor's Choice.
DOI: 10.1016/j.commatsci.2018.03.075

Acta Crystallographica Section A

11

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

Acta Cryst. A 74, 184–203 (2018)

Authors: David Hicks, Corey Oses, Eric Gossett, Geena Gomez, Richard H. Taylor, Cormac Toher, Michael J. Mehl, Ohad Levy & Stefano Curtarolo

DOI: 10.1107/S2053273318003066

2017

Inorganic Chemistry

10

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

Inorg. Chem. 57(2), 653–667 (2017)

Authors: Alon Hever, Corey Oses, Stefano Curtarolo, Ohad Levy & Amir Natan

DOI: 10.1021/acs.inorgchem.7b02462

Computational Materials Science

9

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

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

Authors: Frisco Rose, Cormac Toher, Eric Gossett, Corey Oses, Marco Buongiorno Nardelli, Marco Fornari & Stefano Curtarolo

  • This paper was selected for Editor's Choice.
DOI: 10.1016/j.commatsci.2017.04.036

Nature Communications

8

Universal Fragment Descriptors for Predicting Properties of Inorganic Crystals

Nat. Commun. 8, 15679 (2017)

Authors: Olexandr Isayev†, Corey Oses†, Cormac Toher, Eric Gossett, Stefano Curtarolo & Alexander Tropsha

† contributed equally

DOI: 10.1038/ncomms15679

Physical Review Materials

7

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

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

Authors: Cormac Toher, Corey Oses, Jose J. Plata, David Hicks, Frisco Rose, Ohad Levy, Maarten de Jong, Mark Asta, Marco Fornari, Marco Buongiorno Nardelli & Stefano Curtarolo

DOI: 10.1103/PhysRevMaterials.1.015401

Acta Materialia

6

A Computational High-Throughput Search for New Ternary Superalloys

Acta Mater. 122, 438–447 (2017)

Authors: Chandramouli Nyshadham, Corey Oses, Jacob E. Hansen, Ichiro Takeuchi, Stefano Curtarolo & Gus L. W. Hart

DOI: 10.1016/j.actamat.2016.09.017

Science Advances

5

Accelerated Discovery of New Magnets in the Heusler Alloy Family

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

Authors: Stefano Sanvito, Corey Oses, Junkai Xue, Anurag Tiwari, Mario Žic, Thomas Archer, Pelin Tozman, Munuswamy Venkatesan, J. Michael D. Coey & Stefano Curtarolo

DOI: 10.1126/sciadv.1602241

2016

Physical Review X

4

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: Ambroise van Roekeghem, Jesús Carrete, Corey Oses, Stefano Curtarolo & Natalio Mingo

DOI: 10.1103/PhysRevX.6.041061

Chemistry of Materials

3

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

Chem. Mater. 28(18), 6484–6492 (2016)

Authors: Kesong Yang, Corey Oses & Stefano Curtarolo

DOI: 10.1021/acs.chemmater.6b01449

2015

Computational Materials Science

2

The AFLOW Standard for High-Throughput Materials Science Calculations

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

Authors: Camilo E. Calderon, Jose J. Plata, Cormac Toher, Corey Oses, Ohad Levy, Marco Fornari, Amir Natan, Michael J. Mehl, Gus L. W. Hart, Marco Buongiorno Nardelli & Stefano Curtarolo

  • This paper was selected for Editor's Choice.
DOI: 10.1016/j.commatsci.2015.07.019

Chemistry of Materials

1

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

Chem. Mater. 27(3), 735–743 (2015)

Authors: Olexandr Isayev, Denis Fourches, Eugene N. Muratov, Corey Oses, Kevin M. Rasch, Alexander Tropsha & Stefano Curtarolo

  • This paper was selected for Editor's Choice.
DOI: 10.1021/cm503507h

Book Publications

2019

Book Chapter
3
Automated computation of materials properties, Materials Informatics: Methods, Tools and Applications

Authors: Cormac Toher, Corey Oses & Stefano Curtarolo

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

2018

Book Chapter
2
Machine learning and high-throughput approaches to magnetism, Handbook of Materials Modeling. Volume 2 Applications: Current and Emerging Materials

Authors: Stefano Sanvito, Mario Žic, James Nelson, Thomas Archer, Corey Oses & Stefano Curtarolo

DOI: 10.1007/978-3-319-50257-1_108-1
Book Chapter
1
The AFLOW Fleet for Materials Discovery, Handbook of Materials Modeling. Volume 1 Methods: Theory and Modeling

Authors: Cormac Toher, Corey Oses, David Hicks, Eric Gossett, Frisco Rose, Pinku Nath, Demet Usanmaz, Denise C. Ford, Eric Perim, Camilo E. Calderon, Jose J. Plata, Yoav Lederer, Michal Jahnátek, Wahyu Setyawan, Shidong Wang, Junkai Xue, Kevin M. Rasch, Roman V. Chepulskii, Richard H. Taylor, Geena Gomez, Harvey Shi, Andrew R. Supka, Rabih Al Rahal Al Orabi, Priya Gopal, Frank T. Cerasoli, Laalitha Liyanage, Haihang Wang, Ilaria Siloi, Luis A. Agapito, Chandramouli Nyshadham, Gus L. W. Hart, Jesús Carrete, Fleur Legrain, Natalio Mingo, Eva Zurek, Olexandr Isayev, Alexander Tropsha, Stefano Sanvito, Robert M. Hanson, Ichiro Takeuchi, Michael J. Mehl, Aleksey N. Kolmogorov, Kesong Yang, Pino D'Amico, Arrigo Calzolari, Marcio Costa, Riccardo De Gennaro, Marco Buongiorno Nardelli, Marco Fornari, Ohad Levy & Stefano Curtarolo

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

Teaching Experience

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

Certifications

Participant
June 8–12, 2020
CECAM (Centre Européen de Calcul Atomique et Moléculaire) Open Databases Integration for Materials Design (OPTiMaDe) Workshop at the École polytechnique fédérale de Lausanne (EPFL)
Participant
June 11–14, 2019
CECAM (Centre Européen de Calcul Atomique et Moléculaire) Open Databases Integration for Materials Design (OPTiMaDe) Workshop at the École polytechnique fédérale de Lausanne (EPFL)
Graduate
June 25–29, 2018
Machine Learning Summer School (MLSS) at Duke University
Participant
June 11–15, 2018
CECAM (Centre Européen de Calcul Atomique et Moléculaire) Open Databases Integration for Materials Design (OPTiMaDe) Workshop at the École polytechnique fédérale de Lausanne (EPFL)
Graduate
January 7–16, 2015
Machine Learning Summer School (MLSS) at the University of Texas at Austin
Graduate
May 22–27, 2011
The LeaderShape Institute at Cornell University
Technician License
July 29, 2010
American Radio Relay League (ARRL) in Roselle, New Jersey