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Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration.
Hong, Seungbum; Liow, Chi Hao; Yuk, Jong Min; Byon, Hye Ryung; Yang, Yongsoo; Cho, EunAe; Yeom, Jiwon; Park, Gun; Kang, Hyeonmuk; Kim, Seunggu; Shim, Yoonsu; Na, Moony; Jeong, Chaehwa; Hwang, Gyuseong; Kim, Hongjun; Kim, Hoon; Eom, Seongmun; Cho, Seongwoo; Jun, Hosun; Lee, Yongju; Baucour, Arthur; Bang, Kihoon; Kim, Myungjoon; Yun, Seokjung; Ryu, Jeongjae; Han, Youngjoon; Jetybayeva, Albina; Choi, Pyuck-Pa; Agar, Joshua C; Kalinin, Sergei V; Voorhees, Peter W; Littlewood, Peter; Lee, Hyuck Mo.
Afiliación
  • Hong S; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Liow CH; KAIST Institute for NanoCentury (KINC), Korea Advanced Institute of Science and Engineering (KAIST), Daejeon, 34141, Republic of Korea.
  • Yuk JM; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Byon HR; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Yang Y; Department of Chemistry, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Cho E; Department of Physics, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Yeom J; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Park G; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Kang H; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Kim S; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Shim Y; Department of Chemistry, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Na M; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Jeong C; Department of Chemistry, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Hwang G; Department of Physics, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Kim H; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Kim H; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Eom S; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Cho S; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Jun H; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Lee Y; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Baucour A; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Bang K; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Kim M; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Yun S; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Ryu J; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Han Y; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Jetybayeva A; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Choi PP; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Agar JC; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea.
  • Kalinin SV; Department of Materials Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
  • Voorhees PW; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Littlewood P; Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.
  • Lee HM; James Franck Institute, University of Chicago, Chicago, Illinois 60637, United States.
ACS Nano ; 15(3): 3971-3995, 2021 Mar 23.
Article en En | MEDLINE | ID: mdl-33577296
Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can flourish. Recently, KAIST announced 10 flagship research fields, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3). The M3I3 initiative aims to reduce the time for the discovery, design and development of materials based on elucidating multiscale processing-structure-property relationship and materials hierarchy, which are to be quantified and understood through a combination of machine learning and scientific insights. In this review, we begin by introducing recent progress on related initiatives around the globe, such as the Materials Genome Initiative (U.S.), Materials Informatics (U.S.), the Materials Project (U.S.), the Open Quantum Materials Database (U.S.), Materials Research by Information Integration Initiative (Japan), Novel Materials Discovery (E.U.), the NOMAD repository (E.U.), Materials Scientific Data Sharing Network (China), Vom Materials Zur Innovation (Germany), and Creative Materials Discovery (Korea), and discuss the role of multiscale materials and molecular imaging combined with machine learning in realizing the vision of M3I3. Specifically, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure-property relationships. Additionally, data mining from the literature combined with machine learning will be shown to be more efficient in finding the future direction of materials structures with improved properties than the classical approach. Examples of materials for applications in energy and information will be reviewed and discussed. A case study on the development of a Ni-Co-Mn cathode materials illustrates M3I3's approach to creating libraries of multiscale structure-property-processing relationships. We end with a future outlook toward recent developments in the field of M3I3.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Nano Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ACS Nano Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos