Corey Oses

Materials Science, Duke University

Personal Information

(W) +1 (919) 684 1553
pdf

Work Experience

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

Education

Ph.D.
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.
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
"Disordered Materials Could Be Hardest, Most Heat-Tolerant Ever"
MRS Bulletin
UNC Eshelman School of Pharmacy
"Breakthrough Tool Predicts Properties of Theoretical Materials, Finds New Uses for Current Ones"
Duke University Pratt School of Engineering
MRS Bulletin
"Materials fingerprints identified for informatics"
Computational Chemistry Highlights
"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
Duke University Graduate School
ERN Conference 2013
"2013 Oral and Poster Presentation Award Winners"

Honors and Awards

Publication Award
Editor's Choice, Publication in Comput. Mater. Sci., Elsevier
Publication Award
Editor's Choice, Publication in Comput. Mater. Sci., Elsevier
Award
Best Teaching Assistant Award (ME 221), Duke University Department of Mechanical Engineering and Materials Science
Publication Award
Editor's Choice, Publication in Comput. Mater. Sci., Elsevier
Publication Award
Editor's Choice, Publication in Chem. Mater., American Chemical Society
Fellowship
Graduate Research Fellowship, National Science Foundation
Award
\textcolor{#4B93B7}{Best Presentation Award at the MEMS Departmental Retreat}, Duke University Department of Mechanical Engineering and Materials Science
Award
\textcolor{#4B93B7}{First Place in Nanoscience and Physics Research Presentation}, NSF / AAAS / EHR Emerging Researchers National Conference
Scholarship
Shell Incentive Fund Scholarship
Scholarship
Xerox Corporation Scholarship
Scholarship
Intel Academic Award
Grant
Cornell University Unmanned Air Systems Team awarded $1,000 grant, AUVSI Student Unmanned Aerial Systems Competition
Scholarship
Meinig Family Cornell National Scholars

Journal Publications

2020

Under Review

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

Under Review

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

High-entropy ceramics

Nat. Rev. Mater. (2020)

Authors: Corey Oses, Cormac Toher & Stefano Curtarolo

DOI: 10.1038/s41578-019-0170-8

2019

Acta Materialia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2018

Book Chapter
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
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

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
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
Machine Learning Summer School (MLSS) at Duke University
Participant
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
Machine Learning Summer School (MLSS) at the University of Texas at Austin
Graduate
The LeaderShape Institute at Cornell University
Technician License
American Radio Relay League (ARRL) in Roselle, New Jersey