Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Marc De, Graef"'
Autor:
Zihao Ding, Marc De Graef
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract Recently, discriminative machine learning models have been widely used to predict various attributes from Electron Backscatter Diffraction (EBSD) patterns. However, there has never been any generative model developed for EBSD pattern simulat
Externí odkaz:
https://doaj.org/article/79a8a829c9d843049427d21b11be4018
Publikováno v:
APL Materials, Vol 9, Iss 8, Pp 081114-081114-5 (2021)
We characterize the magnetic properties and domain structure of Pt/Ni/Co asymmetric superlattices in comparison to the more established Pt/Co/Ni structure. This reversal in stacking sequence leads to a marked drop in interfacial magnetic anisotropy a
Externí odkaz:
https://doaj.org/article/c6dc0987d5c1466c8a27a12a086b345b
Publikováno v:
AIP Advances, Vol 10, Iss 1, Pp 015233-015233-4 (2020)
We examine the combined effects of interlayer exchange coupling (IEC) and the interfacial Dzyaloshinskii-Moriya Interaction (DMI) on the structure of magnetic domain walls in fully compensated synthetic anti-ferromagnets (SAFs). Ir-based SAFs with fe
Externí odkaz:
https://doaj.org/article/258a65a0e057492b8ebc0d9583717110
Autor:
Simon A. Meynell, Yolita M. Eggeler, Joshua D. Bocarsly, Daniil A. Kitchaev, Bailey E. Rhodes, Tresa M. Pollock, Stephen D. Wilson, Anton Van der Ven, Ram Seshadri, Marc De Graef, Ania Bleszynski Jayich, Daniel S. Gianola
Publikováno v:
Physical Review Materials. 7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0af65c600b06082817f3e3e346c71f9e
https://doi.org/10.1103/physrevmaterials.7.044401
https://doi.org/10.1103/physrevmaterials.7.044401
Autor:
Marc De Graef
This 2003 book covers the fundamentals of conventional transmission electron microscopy (CTEM) as applied to crystalline solids. Emphasis is on the experimental and computational methods used to quantify and analyze CTEM observations. A supplementary
Publikováno v:
Crystal Growth & Design. 21:4547-4555
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97c4a90d60c5688a0c4af57a0482721d
https://doi.org/10.1021/acs.cgd.1c00429
https://doi.org/10.1021/acs.cgd.1c00429
Autor:
Stuart I. Wright, Marc De Graef
Publikováno v:
International Tables for Crystallography ISBN: 9781119952350
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea56d894753255c15b26e9049a7a82d8
https://doi.org/10.1107/s1574870722004554
https://doi.org/10.1107/s1574870722004554
Autor:
Marc De Graef, Josh Kacher, Anastasia Mullins, Yung Suk Jeremy Yoo, DaeHoon Kang, Saransh Singh, Richard Gary Hamerton, Das Sazol Kumar
Publikováno v:
Journal of Materials Research. 36:2754-2762
The influence of dispersoids and grain boundary characteristics on the crack propagation behavior in AA3xxx during deep drawing has been investigated using scanning transmission electron microscopy, energy-dispersive spectroscopy, and the dictionary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bfd5f39a8e555743b091bd54af28d6
https://doi.org/10.1557/s43578-021-00164-y
https://doi.org/10.1557/s43578-021-00164-y
Autor:
Marc De Graef, Zihao Ding
Recently, discriminative machine learning (ML) models have been widely used to predict various attributes from Electron Backscatter Diffraction (EBSD) patterns. However, there has never been any generative model developed for EBSD pattern simulation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e0b541c0a83689d24db9c23328549ce
https://doi.org/10.21203/rs.3.rs-1693356/v1
https://doi.org/10.21203/rs.3.rs-1693356/v1
Publikováno v:
Acta Materialia. 195:209-218
With the proliferation of grain boundary data in materials science from both experiments and simulations, tools are needed to explore the five dimensional space of grain boundaries and visualize and fit structure property relationships along arbitrar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed47c822c82203b2584dd6dbc1df806
https://doi.org/10.1016/j.actamat.2020.05.024
https://doi.org/10.1016/j.actamat.2020.05.024