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Nouamane laanait
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Optical creation of a supercrystal with three-dimensional nanoscale periodicity
VA Stoica, N Laanait, C Dai, Z Hong, Y Yuan, Z Zhang, S Lei, ...
Nature materials 18 (4), 377-383, 2019
1422019
Big, deep, and smart data in scanning probe microscopy
SV Kalinin, E Strelcov, A Belianinov, S Somnath, RK Vasudevan, ...
Acs Nano 10 (10), 9068-9086, 2016
1282016
Tuning ion correlations at an electrified soft interface
N Laanait, M Mihaylov, B Hou, H Yu, P Vanýsek, M Meron, B Lin, ...
Proceedings of the National Academy of Sciences 109 (50), 20326-20331, 2012
892012
X-ray–driven reaction front dynamics at calcite-water interfaces
N Laanait, EBR Callagon, Z Zhang, NC Sturchio, SS Lee, P Fenter
Science 349 (6254), 1330-1334, 2015
652015
Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform
R Kannan, AV Ievlev, N Laanait, MA Ziatdinov, RK Vasudevan, S Jesse, ...
Advanced Structural and Chemical Imaging 4, 1-20, 2018
622018
Giant elastic tunability in strained BiFeO3 near an electrically induced phase transition
Q Li, Y Cao, P Yu, RK Vasudevan, N Laanait, A Tselev, F Xue, LQ Chen, ...
Nature communications 6 (1), 8985, 2015
592015
USID and pycroscopy–Open source frameworks for storing and analyzing imaging and spectroscopy data
S Somnath, CR Smith, N Laanait, RK Vasudevan, S Jesse
Microscopy and Microanalysis 25 (S2), 220-221, 2019
532019
Mapping mesoscopic phase evolution during E-beam induced transformations via deep learning of atomically resolved images
RK Vasudevan, N Laanait, EM Ferragut, K Wang, DB Geohegan, K Xiao, ...
npj Computational Materials 4 (1), 30, 2018
502018
Investigation of structure, adsorption free energy, and overcharging behavior of trivalent yttrium adsorbed at the muscovite (001)–water interface
SS Lee, M Schmidt, N Laanait, NC Sturchio, P Fenter
The Journal of Physical Chemistry C 117 (45), 23738-23749, 2013
432013
Ion distributions at the water/1, 2-dichloroethane interface: Potential of mean force approach to analyzing X-ray reflectivity and interfacial tension measurements
B Hou, N Laanait, H Yu, W Bu, J Yoon, B Lin, M Meron, G Luo, P Vanysek, ...
The Journal of Physical Chemistry B 117 (17), 5365-5378, 2013
432013
Field enhancement of electronic conductance at ferroelectric domain walls
RK Vasudevan, Y Cao, N Laanait, A Ievlev, L Li, JC Yang, YH Chu, ...
Nature communications 8 (1), 1318, 2017
412017
Communications: Monovalent ion condensation at the electrified liquid/liquid interface
N Laanait, J Yoon, B Hou, P Vanysek, M Meron, B Lin, G Luo, I Benjamin, ...
The Journal of chemical physics 132 (17), 2010
372010
Exascale deep learning for scientific inverse problems
N Laanait, J Romero, J Yin, MT Young, S Treichler, V Starchenko, ...
arXiv preprint arXiv:1909.11150, 2019
332019
Heteroepitaxial growth of cadmium carbonate at dolomite and calcite surfaces: Mechanisms and rates
EBR Callagon, SS Lee, PJ Eng, N Laanait, NC Sturchio, KL Nagy, ...
Geochimica et Cosmochimica Acta 205, 360-380, 2017
312017
Full-field X-ray reflection microscopy of epitaxial thin-films
N Laanait, Z Zhang, CM Schlepütz, J Vila-Comamala, MJ Highland, ...
Journal of synchrotron radiation 21 (6), 1252-1261, 2014
272014
Imaging nanoscale lattice variations by machine learning of x-ray diffraction microscopy data
N Laanait, Z Zhang, CM Schlepütz
Nanotechnology 27 (37), 374002, 2016
252016
Identifying local structural states in atomic imaging by computer vision
N Laanait, M Ziatdinov, Q He, A Borisevich
Advanced structural and chemical imaging 2 (1), 14, 2016
232016
Strategies to deploy and scale deep learning on the summit supercomputer
J Yin, S Gahlot, N Laanait, K Maheshwari, J Morrison, S Dash, M Shankar
2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS), 84-94, 2019
192019
Giant thermally-enhanced electrostriction and polar surface phase in oxygen ion conductors
Q Li, T Lu, J Schiemer, N Laanait, N Balke, Z Zhang, Y Ren, MA Carpenter, ...
Physical Review Materials 2 (4), 041403, 2018
192018
Reconstructing phase diagrams from local measurements via Gaussian processes: mapping the temperature-composition space to confidence
DK Pradhan, S Kumari, E Strelcov, DK Pradhan, RS Katiyar, SV Kalinin, ...
npj Computational Materials 4 (1), 23, 2018
192018
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