متابعة
Corey Oses
Corey Oses
Johns Hopkins University
بريد إلكتروني تم التحقق منه على jhu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
High-entropy ceramics‏
C Oses, C Toher, S Curtarolo‏
Nature Reviews Materials 5 (4), 295-309, 2020‏
14542020
High-entropy high-hardness metal carbides discovered by entropy descriptors‏
P Sarker, T Harrington, C Toher, C Oses, M Samiee, JP Maria, ...‏
Nature communications 9 (1), 4980, 2018‏
8852018
Universal fragment descriptors for predicting properties of inorganic crystals‏
O Isayev, C Oses, C Toher, E Gossett, S Curtarolo, A Tropsha‏
Nature communications 8 (1), 15679, 2017‏
6602017
Machine learning modeling of superconducting critical temperature‏
V Stanev, C Oses, AG Kusne, E Rodriguez, J Paglione, S Curtarolo, ...‏
npj Computational Materials 4 (1), 29, 2018‏
4532018
The AFLOW standard for high-throughput materials science calculations‏
CE Calderon, JJ Plata, C Toher, C Oses, O Levy, M Fornari, A Natan, ...‏
Computational Materials Science 108, 233-238, 2015‏
3272015
Materials cartography: representing and mining materials space using structural and electronic fingerprints‏
O Isayev, D Fourches, EN Muratov, C Oses, K Rasch, A Tropsha, ...‏
Chemistry of Materials 27 (3), 735-743, 2015‏
3252015
On-the-fly closed-loop materials discovery via Bayesian active learning‏
AG Kusne, H Yu, C Wu, H Zhang, J Hattrick-Simpers, B DeCost, S Sarker, ...‏
Nature communications 11 (1), 5966, 2020‏
3212020
Accelerated discovery of new magnets in the Heusler alloy family‏
S Sanvito, C Oses, J Xue, A Tiwari, M Zic, T Archer, P Tozman, ...‏
Science advances 3 (4), e1602241, 2017‏
2712017
Discovery of high-entropy ceramics via machine learning‏
K Kaufmann, D Maryanovsky, WM Mellor, C Zhu, AS Rosengarten, ...‏
Npj Computational Materials 6 (1), 42, 2020‏
2072020
High-throughput computation of thermal conductivity of high-temperature solid phases: the case of oxide and fluoride perovskites‏
A van Roekeghem, J Carrete, C Oses, S Curtarolo, N Mingo‏
Physical Review X 6 (4), 041061, 2016‏
1612016
Roadmap on machine learning in electronic structure‏
HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ...‏
Electronic Structure 4 (2), 023004, 2022‏
1442022
AFLOW-ML: A RESTful API for machine-learning predictions of materials properties‏
E Gossett, C Toher, C Oses, O Isayev, F Legrain, F Rose, E Zurek, ...‏
Computational Materials Science 152, 134-145, 2018‏
1062018
Modeling off-stoichiometry materials with a high-throughput ab-initio approach‏
K Yang, C Oses, S Curtarolo‏
Chemistry of Materials 28 (18), 6484-6492, 2016‏
1042016
Predicting superhard materials via a machine learning informed evolutionary structure search‏
P Avery, X Wang, C Oses, E Gossett, DM Proserpio, C Toher, S Curtarolo, ...‏
npj Computational Materials 5 (1), 1-11, 2019‏
1032019
OPTIMADE, an API for exchanging materials data‏
CW Andersen, R Armiento, E Blokhin, GJ Conduit, S Dwaraknath, ...‏
Scientific data 8 (1), 217, 2021‏
992021
Unavoidable disorder and entropy in multi-component systems‏
C Toher, C Oses, D Hicks, S Curtarolo‏
Npj Computational Materials 5 (1), 69, 2019‏
982019
AFLOW-CHULL: cloud-oriented platform for autonomous phase stability analysis‏
C Oses, E Gossett, D Hicks, F Rose, MJ Mehl, E Perim, I Takeuchi, ...‏
Journal of chemical information and modeling 58 (12), 2477-2490, 2018‏
952018
A computational high-throughput search for new ternary superalloys‏
C Nyshadham, C Oses, JE Hansen, I Takeuchi, S Curtarolo, GLW Hart‏
Acta Materialia 122, 438-447, 2017‏
892017
Combining the AFLOW GIBBS and elastic libraries to efficiently and robustly screen thermomechanical properties of solids‏
C Toher, C Oses, JJ Plata, D Hicks, F Rose, O Levy, M de Jong, M Asta, ...‏
Physical Review Materials 1 (1), 015401, 2017‏
772017
Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery‏
S Divilov, H Eckert, D Hicks, C Oses, C Toher, R Friedrich, M Esters, ...‏
Nature 625 (7993), 66-73, 2024‏
742024
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مقالات 1–20