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Anzahl der Einträge: 7.

Long, Teng (2022)
Accelerating the discovery of crystalline materials with desired intrinsic properties by machine learning.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00019964
Dissertation, Erstveröffentlichung, Verlagsversion

Samathrakis, Ilias ; Long, Teng ; Zhang, Zeying ; Singh, Harish K. ; Zhang, Hongbin (2022)
Enhanced anomalous Nernst effects in ferromagnetic materials driven by Weyl nodes.
In: Journal of Physics D: Applied Physics, 55 (7)
doi: 10.1088/1361-6463/ac3351
Artikel, Bibliographie

Shen, Chen ; Hadaeghi, Niloofar ; Singh, Harish K. ; Long, Teng ; Fan, Ling ; Qin, Guangzhao ; Zhang, Hongbin (2021)
Two-dimensional buckling structure induces the ultra-low thermal conductivity: a comparative study of the group GaX (X = N, P, As).
In: Journal of Materials Chemistry C
doi: 10.1039/D1TC04531H
Artikel, Bibliographie

Xiao, Yi ; Shen, Chen ; Long, Teng (2021)
Theoretical Establishment and Screening of an Efficient Catalyst for N2 Electroreduction on Two-Dimensional Transition-Metal Borides (MBenes).
In: Chemistry of Materials, 33 (11)
doi: 10.1021/acs.chemmater.1c00424
Artikel, Bibliographie

Long, Teng ; Fortunato, Nuno M. ; Zhang, Yixuan ; Gutfleisch, Oliver ; Zhang, Hongbin (2021)
An accelerating approach of designing ferromagnetic materials via machine learning modeling of magnetic ground state and Curie temperature.
In: Materials Research Letters, 9 (4)
doi: 10.1080/21663831.2020.1863876
Artikel, Bibliographie

Long, Teng ; Fortunato, Nuno M. ; Opahle, Ingo ; Zhang, Yixuan ; Samathrakis, Ilias ; Shen, Chen ; Gutfleisch, Oliver ; Zhang, Hongbin (2021)
Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures.
In: npj Computational Materials, 7 (66)
doi: 10.1038/s41524-021-00526-4
Artikel, Bibliographie

Zhang, Yixuan ; Shen, Chen ; Long, Teng ; Zhang, Hongbin (2020)
Thermal conductivity of h-BN monolayers using machine learning interatomic potential.
In: Journal of Physics: Condensed Matter, 33 (10)
doi: 10.1088/1361-648X/abcf61
Artikel, Bibliographie

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