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Items: 14

1.

Building and exploring libraries of atomic defects in graphene: Scanning transmission electron and scanning tunneling microscopy study.

Ziatdinov M, Dyck O, Li X, Sumpter BG, Jesse S, Vasudevan RK, Kalinin SV.

Sci Adv. 2019 Sep 27;5(9):eaaw8989. doi: 10.1126/sciadv.aaw8989. eCollection 2019 Sep.

2.

Toward Electrochemical Studies on the Nanometer and Atomic Scales: Progress, Challenges, and Opportunities.

Kalinin SV, Dyck O, Balke N, Neumayer S, Tsai WY, Vasudevan R, Lingerfelt D, Ahmadi M, Ziatdinov M, McDowell MT, Strelcov E.

ACS Nano. 2019 Sep 24;13(9):9735-9780. doi: 10.1021/acsnano.9b02687. Epub 2019 Sep 16.

PMID:
31433942
3.

Learning from Imperfections: Predicting Structure and Thermodynamics from Atomic Imaging of Fluctuations.

Vlcek L, Ziatdinov M, Maksov A, Tselev A, Baddorf AP, Kalinin SV, Vasudevan RK.

ACS Nano. 2019 Jan 22;13(1):718-727. doi: 10.1021/acsnano.8b07980. Epub 2019 Jan 10.

PMID:
30609895
4.

Combustion Synthesis of Composition Ferroalloys.

Ziatdinov M, Zhukov A, Promakhov V.

Materials (Basel). 2018 Oct 28;11(11). pii: E2117. doi: 10.3390/ma11112117.

5.

Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform.

Kannan R, Ievlev AV, Laanait N, Ziatdinov MA, Vasudevan RK, Jesse S, Kalinin SV.

Adv Struct Chem Imaging. 2018;4(1):6. doi: 10.1186/s40679-018-0055-8. Epub 2018 Apr 30. Review.

6.

Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations.

Ziatdinov M, Dyck O, Maksov A, Li X, Sang X, Xiao K, Unocic RR, Vasudevan R, Jesse S, Kalinin SV.

ACS Nano. 2017 Dec 26;11(12):12742-12752. doi: 10.1021/acsnano.7b07504. Epub 2017 Dec 14.

PMID:
29215876
7.

Chemically induced topological zero mode at graphene armchair edges.

Ziatdinov M, Lim H, Fujii S, Kusakabe K, Kiguchi M, Enoki T, Kim Y.

Phys Chem Chem Phys. 2017 Feb 15;19(7):5145-5154. doi: 10.1039/c6cp08352h.

PMID:
28140409
8.

Atomic-scale observation of structural and electronic orders in the layered compound α-RuCl3.

Ziatdinov M, Banerjee A, Maksov A, Berlijn T, Zhou W, Cao HB, Yan JQ, Bridges CA, Mandrus DG, Nagler SE, Baddorf AP, Kalinin SV.

Nat Commun. 2016 Dec 12;7:13774. doi: 10.1038/ncomms13774.

9.

Identifying local structural states in atomic imaging by computer vision.

Laanait N, Ziatdinov M, He Q, Borisevich A.

Adv Struct Chem Imaging. 2017;2(1):14. Epub 2016 Nov 2.

10.

Data mining graphene: correlative analysis of structure and electronic degrees of freedom in graphenic monolayers with defects.

Ziatdinov M, Fujii S, Kiguchi M, Enoki T, Jesse S, Kalinin SV.

Nanotechnology. 2016 Dec 9;27(49):495703. Epub 2016 Nov 9.

PMID:
27827348
11.

Deep data mining in a real space: separation of intertwined electronic responses in a lightly doped BaFe2As2.

Ziatdinov M, Maksov A, Li L, Sefat AS, Maksymovych P, Kalinin SV.

Nanotechnology. 2016 Nov 25;27(47):475706. Epub 2016 Oct 25.

PMID:
27780159
12.

Bowl Inversion and Electronic Switching of Buckybowls on Gold.

Fujii S, Ziatdinov M, Higashibayashi S, Sakurai H, Kiguchi M.

J Am Chem Soc. 2016 Sep 21;138(37):12142-9. doi: 10.1021/jacs.6b04741. Epub 2016 Sep 6.

PMID:
27556409
13.

Phases and Interfaces from Real Space Atomically Resolved Data: Physics-Based Deep Data Image Analysis.

Vasudevan RK, Ziatdinov M, Jesse S, Kalinin SV.

Nano Lett. 2016 Sep 14;16(9):5574-81. doi: 10.1021/acs.nanolett.6b02130. Epub 2016 Aug 19.

PMID:
27517608
14.

Role of edge geometry and chemistry in the electronic properties of graphene nanostructures.

Fujii S, Ziatdinov M, Ohtsuka M, Kusakabe K, Kiguchi M, Enoki T.

Faraday Discuss. 2014;173:173-99. doi: 10.1039/c4fd00073k.

PMID:
25466581

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