email
Corey Oses
Materials Science, Duke University
Personal Information
phone
(W) +1 (919) 684 1553
CV
Google Scholar
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"
- This press release is featured on AAAS EurekAlert!, Phys.org, ScienceDaily, Science Bulletin, Naaju, NewsBeezer, RemoNews, Tech2, and LongRoom News.
MRS Bulletin
August 2017
"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.
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.
MRS Bulletin
April 2015
"Materials fingerprints identified for informatics"
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.
Duke University Graduate School
October 2014
"Competing for NSF Fellowships: Advice from a Current Fellow"
ERN Conference 2013
February 2013
"2013 Oral and Poster Presentation Award Winners"
Honors and Awards
Award
August 14, 2015
Best Teaching Assistant Award (ME 221), Duke University Department of Mechanical Engineering and Materials Science
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
Talks/Presentations
Invited Seminar
2019
AFLOW: Integrated infrastructure for computational materials discovery
Co-Presenters: Cormac Toher, David Hicks, Marco Esters, Eric Gossett, Max J. Brenner & Stefano Curtarolo
Invited seminar 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.
Invited seminar at the University of Pennsylvania AFLOW Full-Day Workshop, Philadelphia, Pennsylvania — May 03, 2019.
Invited seminar at the North Carolina State University AFLOW Full-Day Workshop, Raleigh, North Carolina — March 12, 2019.
Invited seminar at the Carnegie Mellon University AFLOW Full-Day Workshop, Pittsburgh, Pennsylvania — January 21, 2019.
Invited seminar 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.
Contributed Talk
2019
Cloud-oriented computational phase diagrams with AFLOW-CHULL
Contributed talk at the American Physical Society March Meeting, Boston, Massachusetts — March 07, 2019.
Poster presentation at the CECAM (Centre Européen de Calcul Atomique et Moléculaire) Open Databases Integration for Materials Design (OPTiMaDe) Workshop, Lausanne, Switzerland — June 11, 2018.
Invited Talk
2019
Going Off-Stoichiometry: Challenging Traditional Materials Discovery
Naval Research Laboratory Center for Computational Materials Science Seminar, Washington, D.C. — January 09, 2019.
Contributed Talk
2018
Universal Fragment Descriptors for Predicting Properties of Inorganic Crystals
Contributed talk at the International Association for Computational Mechanics (IACM) 13th World Congress in Computational Mechanics (WCCM), New York City, New York — July 23, 2018.
Contributed talk at the Hopkins Extreme Materials Institute Mach Conference, Annapolis, Maryland — April 05, 2018.
Contributed talk at the Duke University Chemistry Department Third Annual Graduate Research Symposium, Durham, North Carolina — October 09, 2017.
Contributed talk at the American Physical Society March Meeting, New Orleans, Louisiana — March 14, 2017.
Invited Talk
2018
Advancements in Materials Informatics with AFLOW
Invited talk at the Fritz-Haber-Institut der Max-Planck-Gesellschaft Theory Department Seminar, Berlin, Germany — January 18, 2018.
Invited talk at the Humboldt University of Berlin Physics Department Seminar, Berlin, Germany — January 16, 2018.
Contributed Talk
2016
Modeling Off-Stoichiometric Materials with a High-Throughput, Ab-Initio Approach
Contributed talk at the American Physical Society March Meeting, Baltimore, Maryland — March 16, 2016.
Invited Talk
2016
Materials Cartography: Representing and Mining Materials Space using Structural and Electronic Fingerprints
Invited talk at the Brigham Young University Condensed Matter Physics Seminar, Provo, Utah — February 18, 2016.
Contributed talk at the Duke Mechanical Engineering and Materials Science (MEMS) Department Graduate Student Seminar, Durham, North Carolina — September 25, 2015.
Contributed talk at the American Physical Society March Meeting, San Antonio, Texas — March 02, 2015.
Contributed Talk
2015
Plume Propagation Simulation for Pulsed Laser Deposition
Poster presentation at the University of Texas at Austin Machine Learning Summer School (MLSS), Austin, Texas — January 12, 2015.
Contributed talk at the NSF / AAAS / EHR Emerging Researchers National Conference, Washington, D.C. — February 22, 2014.
Poster presentation at the MRS / ASM / AVS / AReMS Meeting, North Carolina State University, Raleigh, North Carolina — November 15, 2013.
Poster presentation at the Duke Mechanical Engineering and Materials Science (MEMS) Department Annual Retreat, Durham, North Carolina — August 22, 2013.- Best Presentation Award
Contributed Talk
2013
Synchrotron Radiation Focusing Optics — Capillary Beam Stop Design
Contributed talk at the NSF / AAAS / EHR Emerging Researchers National Conference, Washington, D.C. — March 02, 2013.
- First Place in Nanoscience and Physics Research Presentation
Poster presentation at the Cornell University Chapter of LSAMP Research Symposium, Ithaca, New York — August 07, 2012.
Journal Publications
2019
Under Review
23
Discovery of novel high-entropy ceramics via machine learning
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
Nature Reviews Materials
22
High-entropy ceramics
Nat. Rev. Mater. in press (2019)
Authors: Corey Oses, Cormac Toher & Stefano Curtarolo
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.2019.07.008NPJ 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/s41524-019-0226-8NPJ 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-zNPJ 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/s41524-019-0192-1Physical 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.3.0738012018
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.8b00393MRS 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.2018.207Nature 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/s41467-018-07160-7NPJ 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/s41524-018-0085-8Computational 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.
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/S20532733180030662017
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.7b02462Computational 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.
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/ncomms15679Physical 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.1.015401Acta 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.2016.09.017Science 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.16022412016
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.6.041061Chemistry 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.6b014492015
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.
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.
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-97835278022722018
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_108-1Book 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_63-1Teaching Experience
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 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