Mario Žic

Trinity College Dublin — Ireland

Materials Science · Physical Sciences

5h-index443citations10works0.02yr avg
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Research Topics

Machine Learning in Materials Science(5), Heusler alloys: electronic and magnetic properties(5), Magnetic and transport properties of perovskites and related materials(3), Electronic and Structural Properties of Oxides(2), Ferroelectric and Negative Capacitance Devices(2)

Publications10 total

Machine Learning and High-Throughput Approaches to Magnetism
2020· 4 cited
Single-crystal investigation of the proposed type-II Weyl semimetal CeAlGe
Physical review. B./Physical review. B·2018· 78 citedOpen Access
Machine Learning and High-Throughput Approaches to Magnetism
2018· 7 cited
Designing magnetism in Fe-based Heusler alloys: a machine learning\n approach
arXiv (Cornell University)·2017Open Access
Designing magnetism in Fe-based Heusler alloys: a machine learning approach
arXiv (Cornell University)·2017· 1 citedOpen Access
Accelerated discovery of new magnets in the Heusler alloy family
Science Advances·2017· 276 citedOpen Access
Towards data-driven magnetic materials discovery
Arrow@dit (Dublin Institute of Technology)·2017· 1 citedOpen Access
Designing a fully compensated half-metallic ferrimagnet
Physical review. B./Physical review. B·2016· 47 citedOpen Access
The zero-moment half metal: How could it change spin electronics?
AIP Advances·2016· 28 citedOpen Access
Proučavanje statističke vjerojatnosti energetskih pragova Sunčeva zračenja u Zagrebu i njihova primjena
Geofizika·1987· 1 citedOpen Access

Frequent Co-authors

Stefano Sanvito(6), Thomas Archer(6), Corey Oses(3), J. M. D. Coey(3), Stefano Curtarolo(3), Karsten Rode(2), Naganivetha Thiyagarajah(2), Yong‐Chang Lau(2), Davide Betto(2), James Nelson(2), Junkai Xue(1), Anurag Tiwari(1), P. Tozman(1), M. Venkatesan(1), Halyna Hodovanets(1), Chris Eckberg(1), Peter Y. Zavalij(1), H. Kim(1), W.-C. Lin(1), Daniel Campbell(1)