Zobrazeno 1 - 10 of 5 208 pro vyhledávání: '"H Shim"'
1
Akademický článek
Superconductivity of metastable dihydrides at ambient pressure
Autor: Heejung Kim, Ina Park, J. H. Shim, D. Y. Kim
Publikováno v: npj Computational Materials, Vol 10, Iss 1, Pp 1-6 (2024)
Abstract Hydrogen in metals is a significant research area with far-reaching implications, encompassing diverse fields such as hydrogen storage, metal-insulator transitions, and the recently emerging phenomenon of room-temperature superconductivity u
Externí odkaz: https://doaj.org/article/c3dcdda8e9d74751a53ec1b2b31b62c9
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2
Akademický článek
Identifying the core bacterial microbiome of hydrocarbon degradation and a shift of dominant methanogenesis pathways in the oil and aqueous phases of petroleum reservoirs of different temperatures from China
Autor: Z. Zhou, B. Liang, L.-Y. Wang, J.-F. Liu, B.-Z. Mu, H. Shim, J.-D. Gu
Publikováno v: Biogeosciences, Vol 16, Pp 4229-4241 (2019)
Microorganisms in petroleum reservoirs play significant roles in hydrocarbon degradation, and through the terminal electron-accepting process of methanogenesis, they also contribute to microbially enhanced oil recovery (MEOR) worldwide, with great ec
Externí odkaz: https://doaj.org/article/cca8ab1bf6da4f29877696317f94c048
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3
Akademický článek
PERSONALIZATION ENVISAGED IN MUSEUM APPLICATION GUIDES AND THEIR IMPLICATIONS: UNDERSTANDING THE CONTEXTUALIZATION OF THE VIRTUAL MUSEUM WITHIN THE MUSEUMS OF KOREA
Autor: H. Shim, J. Y. Jun, J. Ahn
Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W15, Pp 1089-1096 (2019)
The emergence of innovative technologies in the museum environment has influenced the development of guide application tools for personalization, greatly contributing to the enhancement of collection accessibility and enriching the museum experience
Externí odkaz: https://doaj.org/article/17f2ccf581ef42a98004712282852ac8
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4
Akademický článek
CLASSIFICATION OF OIL PAINTING USING MACHINE LEARNING WITH VISUALIZED DEPTH INFORMATION
Autor: J. Kim, J. Y. Jun, M. Hong, H. Shim, J. Ahn
Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W15, Pp 617-623 (2019)
In the past few decades, a number of scholars studied painting classification based on image processing or computer vision technologies. Further, as the machine learning technology rapidly developed, painting classification using machine learning ha
Externí odkaz: https://doaj.org/article/31281c03feda49d2b9eb6aa4f53d2c35
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6
Akademický článek
Frustration-driven C 4 symmetric order in a naturally-heterostructured superconductor Sr2VO3FeAs
Autor: Jong Mok Ok, S.-H. Baek, C. Hoch, R. K. Kremer, S. Y. Park, Sungdae Ji, B. Büchner, J.-H. Park, S. I. Hyun, J. H. Shim, Yunkyu Bang, E. G. Moon, I. I. Mazin, Jun Sung Kim
Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-7 (2017)
Iron-based superconductors exhibit complex couplings between different electronic degrees of freedom, leading to unusual correlated phases. Ok et al. show that Sr2VO3FeAs develops a hidden order state due to frustrated interactions between the magnet
Externí odkaz: https://doaj.org/article/922b8af34e164a0180c29a10ff7ff38e
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10
Akademický článek
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