| 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 | 142 | 2019 |
| 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 | 128 | 2016 |
| 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 | 89 | 2012 |
| 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 | 65 | 2015 |
| 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 | 62 | 2018 |
| 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 | 59 | 2015 |
| 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 | 53 | 2019 |
| 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 | 50 | 2018 |
| 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 | 43 | 2013 |
| 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 | 43 | 2013 |
| 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 | 41 | 2017 |
| 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 | 37 | 2010 |
| 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 | 33 | 2019 |
| 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 | 31 | 2017 |
| 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 | 27 | 2014 |
| Imaging nanoscale lattice variations by machine learning of x-ray diffraction microscopy data N Laanait, Z Zhang, CM Schlepütz Nanotechnology 27 (37), 374002, 2016 | 25 | 2016 |
| 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 | 23 | 2016 |
| 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 | 19 | 2019 |
| 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 | 19 | 2018 |
| 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 | 19 | 2018 |
Neil C SturchioUniversity of Delaware在 udel.edu 的电子邮件经过验证
Neil C SturchioUniversity of Delaware在 udel.edu 的电子邮件经过验证
Ilan BenjaminUniversity of California, Santa Cruz在 ucsc.edu 的电子邮件经过验证