Corey Oses
Overview
Explore the profile of Corey Oses including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
16
Citations
238
Followers
0
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Gong T, Qiu G, He M, Safonova O, Yang W, Raciti D, et al.
J Am Chem Soc
. 2024 Dec;
147(1):510-518.
PMID: 39714265
The catalytic behavior of a material is influenced by ensembles─the geometric configuration of atoms on the surface. In conventional material systems, ensemble effects and the electronic structure are coupled because...
2.
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
Evans M, Bergsma J, Merkys A, Andersen C, Andersson O, Beltran D, et al.
Digit Discov
. 2024 Aug;
3(8):1509-1533.
PMID: 39118978
The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials...
3.
Peters A, Zhang D, Chen S, Ott C, Oses C, Curtarolo S, et al.
Nat Commun
. 2024 Apr;
15(1):3328.
PMID: 38637517
Hypersonic vehicles must withstand extreme conditions during flights that exceed five times the speed of sound. These systems have the potential to facilitate rapid access to space, bolster defense capabilities,...
4.
Divilov S, Eckert H, Hicks D, Oses C, Toher C, Friedrich R, et al.
Nature
. 2024 Jan;
625(7993):66-73.
PMID: 38172364
The need for improved functionalities in extreme environments is fuelling interest in high-entropy ceramics. Except for the computational discovery of high-entropy carbides, performed with the entropy-forming-ability descriptor, most innovation has...
5.
Calzolari A, Oses C, Toher C, Esters M, Campilongo X, Stepanoff S, et al.
Nat Commun
. 2022 Oct;
13(1):5993.
PMID: 36220810
Discovering multifunctional materials with tunable plasmonic properties, capable of surviving harsh environments is critical for advanced optical and telecommunication applications. We chose high-entropy transition-metal carbides because of their exceptional thermal,...
6.
Wang X, Proserpio D, Oses C, Toher C, Curtarolo S, Zurek E
Angew Chem Int Ed Engl
. 2022 Jun;
61(32):e202205129.
PMID: 35674197
A metallic, covalently bonded carbon allotrope is predicted via first principles calculations. It is composed of an sp carbon framework that acts as a diamond anvil cell by constraining the...
7.
Esters M, Oses C, Hicks D, Mehl M, Jahnatek M, Hossain M, et al.
Nat Commun
. 2021 Oct;
12(1):5747.
PMID: 34593798
High-entropy ceramics are attracting significant interest due to their exceptional chemical stability and physical properties. While configurational entropy descriptors have been successfully implemented to predict their formation and even to...
8.
Hossain M, Borman T, Oses C, Esters M, Toher C, Feng L, et al.
Adv Mater
. 2021 Sep;
33(42):e2102904.
PMID: 34476849
The entropy landscape of high-entropy carbides can be used to understand and predict their structure, properties, and stability. Using first principles calculations, the individual and temperature-dependent contributions of vibrational, electronic,...
9.
Andersen C, Armiento R, Blokhin E, Conduit G, Dwaraknath S, Evans M, et al.
Sci Data
. 2021 Aug;
8(1):217.
PMID: 34385453
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release...
10.
Kusne A, Yu H, Wu C, Zhang H, Hattrick-Simpers J, DeCost B, et al.
Nat Commun
. 2020 Nov;
11(1):5966.
PMID: 33235197
Active learning-the field of machine learning (ML) dedicated to optimal experiment design-has played a part in science as far back as the 18th century when Laplace used it to guide...