Publications of the Atomistic Modelling GroupThis list consists only of publications since the formation of the group "Atomistic Modelling of Material Interfaces". If you click on an author's name, you will be directed to the authors complete MPS publication list.

Publications of Li-Fang Zhu

Journal Article (13)

1.
Journal Article
Zhu, L.-F.; Körmann, F.; Chen, Q.; Selleby, M.; Neugebauer, J.; Grabowski, B.: Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW. npj Computational Materials 10 (1), 274 (2024)
2.
Journal Article
Zhu, L.-F.; Srinivasan, P.; Gong, Y.; Hickel, T.; Grabowski, B.; Körmann, F.; Neugebauer, J.: Melting properties of the refractory metals V and W and the binary VW alloy fully from first principles. Physical Review B 109, 094110 (2024)
3.
Journal Article
Zhu, L.-F.; Janßen, J.; Ishibashi, S.; Körmann, F.; Grabowski, B.; Neugebauer, J.: A fully automated approach to calculate the melting temperature of elemental crystals. Computational Materials Science 187 (11), 110065 (2021)
4.
Journal Article
Zhu, L.-F.; Körmann, F.; Ruban, A. V.; Neugebauer, J.; Grabowski, B.: Performance of the standard exchange-correlation functionals in predicting melting properties fully from first principles: Application to Al and magnetic Ni. Physical Review B 101 (14), 144108 (2020)
5.
Journal Article
Bigdeli, S.; Zhu, L.-F.; Glensk, A.; Grabowski, B.; Lindahl, B. B.; Hickel, T.; Selleby, M.: An insight into using DFT data for Calphad modeling of solid phases in the third generation of Calphad databases, a case study for Al. Calphad 65, pp. 79 - 85 (2019)
6.
Journal Article
Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Efficient approach to compute melting properties fully from ab initio with application to Cu. Physical Review B 96 (22), 224202 (2017)
7.
Journal Article
Fabritius, H.-O.; Ziegler, A. S.; Friák, M.; Nikolov, S. D.; Huber, J.; Seidl, B.; Lu, J.; Janus, A. M.; Petrov, M.; Zhu, L.-F. et al.; Hemzalová, P.; Hemzalová, P.; Hild, S.; Raabe, D.; Neugebauer, J.: Functional adaptation of crustacean exoskeletal elements through structural and compositional diversity: a combined experimental and theoretical study. Bioinspiration & Biomimetics 11 (5), 055006 (2016)
8.
Journal Article
Sandlöbes, S.; Pei, Z.; Friák, M.; Zhu, L.-F.; Wang, F.; Zaefferer, S.; Raabe, D.; Neugebauer, J.: Ductility improvement of Mg alloys by solid solution: Ab initio modeling, synthesis and mechanical properties. Acta Materialia 70, pp. 92 - 104 (2014)
9.
Journal Article
Zhu, L.-F.; Friák, M.; Udyansky, A.; Ma, D.; Schlieter, A.; Kühn, U.; Eckert, J.; Neugebauer, J.: Ab initio based study of finite-temperature structural, elastic and thermodynamic properties of FeTi. Intermetallics 45, pp. 11 - 17 (2014)
10.
Journal Article
Pei, Z.; Zhu, L.-F.; Friák, M.; Sandlöbes, S.; von Pezold, J.; Sheng, H.; Race, C. P.; Zaefferer, S.; Svendsen, B.; Raabe, D. et al.; Neugebauer, J.: Ab initio and atomistic study of generalized stacking fault energies in Mg and Mg–Y alloys. New Journal of Physics 15 (4), pp. 043020-1 - 043020-19 (2013)
11.
Journal Article
Zhu, L.-F.; Friák, M.; Lymperakis, L.; Titrian, H.; Aydin, U.; Janus, A. M.; Fabritius, H.-O.; Ziegler, A. S.; Nikolov, S. D.; Hemzalová, P. et al.; Raabe, D.; Neugebauer, J.: Ab initio study of single-crystalline and polycrystalline elastic properties of Mg-substituted calcite crystals. Journal of the Mechanical Behavior of Biomedical Materials 20, pp. 296 - 304 (2013)
12.
Journal Article
Zhu, L.-F.; Friák, M.; Dick, A.; Grabowski, B.; Hickel, T.; Liot, F.; Holec, D.; Schlieter, A.; Kühn, U.; Eckert, J. et al.; Ebrahimi, Z.; Emmerich, H.; Neugebauer, J.: First-principles study of the thermodynamic and elastic properties of eutectic Fe–Ti alloy. Acta Materialia 60 (4), pp. 1594 - 1602 (2012)
13.
Journal Article
Friák, M.; Hickel, T.; Grabowski, B.; Lymperakis, L.; Udyansky, A.; Dick, A.; Ma, D.; Roters, F.; Zhu, L.-F.; Schlieter, A. et al.; Kühn, U.; Ebrahimi, Z.; Lebensohn, R. A.; Holec, D.; Eckert, J.; Emmerich, H.; Raabe, D.; Neugebauer, J.: Methodological challenges in combining quantum-mechanical and continuum approaches for materials science applications. European Physics Journal Plus 126, pp. 101-1 - 101-22 (2011)

Conference Paper (2)

14.
Conference Paper
Friák, M.; Zhu, L.-F.; Lymperakis, L.; Titrian, H.; Aydin, U.; Janus, A. M.; Fabritius, H.-O.; Ziegler, A. S.; Nikolov, S. D.; Hemzalová, P. et al.; Raabe, D.; Neugebauer, J.: Quantum-mechanical study of single-crystalline and polycrystalline elastic properties of Mg-substituted calcite crystals. In: Key Engineering Materials, Vol. 592-593, pp. 335 - 341. 7th International Conference on Materials Structure and Micromechanics of Fracture (MSMF 7), Brno, Czech Republic, July 01, 2013 - July 03, 2013. (2014)
15.
Conference Paper
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Yi, S.; Letzig, D.; Pei, Z.; Zhu, L.-F.; Neugebauer, J.; Raabe, D.: Complementary TEM and ab ignition study on the ductilizing effect of Y in solid solution Mg–Y alloys. In: Proceedings of the 9th Intern. Conference on Magnesium alloys and their applications, pp. 467 - 472. 9th Intern. Conference on Magnesium alloys and their applications, Vancouver, Canada, July 08, 2012 - July 12, 2012. (2012)

Talk (25)

16.
Talk
Zhu, L.-F.: Method developments on melting property calculations and further applications. 4th German-Austrian Workshop, Kirchdorf, Austria (2024)
17.
Talk
Zhu, L.-F.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential. The third generation (3G) Calphad at KTH, Stockholm, Sweden (2023)
18.
Talk
Zhu, L.-F.; Neugebauer, J.; Grabowski, B.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential. CALPHAD L Conference, Cambridge, MA, USA (2023)
19.
Talk
Zhu, L.-F.: Melting properties from ab initio using efficient TOR-TILD approach: Applications to refractory metals V, W and V–W alloy. CALPHAD XLVIII Conference, Stockholm, Sweden (2023)
20.
Talk
Zhu, L.-F.: Towards high throughput melting property calculations with ab initio accuracy aided by machine learning potential and pyiron workflow. CM retreat, Ebernburg, Germany (2022)
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