| Machine learning for autonomous crystal structure identification WF Reinhart, AW Long, MP Howard, AL Ferguson, AZ Panagiotopoulos Soft Matter 13 (27), 4733-4745, 2017 | 106 | 2017 |
| Emissions of C6–C8 aromatic compounds in the United States: Constraints from tall tower and aircraft measurements L Hu, DB Millet, M Baasandorj, TJ Griffis, KR Travis, CW Tessum, ... Journal of Geophysical Research: Atmospheres 120 (2), 826-842, 2015 | 55 | 2015 |
| Distribution of distances between DNA barcode labels in nanochannels close to the persistence length WF Reinhart, JG Reifenberger, D Gupta, A Muralidhar, J Sheats, H Cao, ... The Journal of chemical physics 142 (6), 2015 | 52 | 2015 |
| The Odijk regime in slits DR Tree, WF Reinhart, KD Dorfman Macromolecules 47 (11), 3672-3684, 2014 | 50 | 2014 |
| Unsupervised learning of sequence-specific aggregation behavior for a model copolymer A Statt, DC Kleeblatt, WF Reinhart Soft matter 17 (33), 7697-7707, 2021 | 41 | 2021 |
| Evaporation-induced assembly of colloidal crystals MP Howard, WF Reinhart, T Sanyal, MS Shell, A Nikoubashman, ... The Journal of chemical physics 149 (9), 2018 | 36 | 2018 |
| Equilibrium crystal phases of triblock Janus colloids WF Reinhart, AZ Panagiotopoulos The Journal of chemical physics 145 (9), 2016 | 36 | 2016 |
| Automated crystal characterization with a fast neighborhood graph analysis method WF Reinhart, AZ Panagiotopoulos Soft matter 14 (29), 6083-6089, 2018 | 33 | 2018 |
| Resolution limit for DNA barcodes in the Odijk regime Y Wang, WF Reinhart, DR Tree, KD Dorfman Biomicrofluidics 6 (1), 2012 | 29 | 2012 |
| Generative deep learning as a tool for inverse design of high-entropy refractory alloys A Debnath, AM Krajewski, H Sun, S Lin, M Ahn, W Li, S Priya, J Singh, ... Journal of Materials Informatics 1 (1), 3-13, 2021 | 28 | 2021 |
| Smart cities built with smart materials R Napolitano, W Reinhart, JP Gevaudan Science 371 (6535), 1200-1201, 2021 | 28 | 2021 |
| Crack detection in images of masonry using cnns MJ Hallee, RK Napolitano, WF Reinhart, B Glisic Sensors 21 (14), 4929, 2021 | 26 | 2021 |
| Entropic depletion of DNA in triangular nanochannels WF Reinhart, DR Tree, KD Dorfman Biomicrofluidics 7 (2), 2013 | 26 | 2013 |
| Predicting aggregate morphology of sequence-defined macromolecules with recurrent neural networks D Bhattacharya, DC Kleeblatt, A Statt, WF Reinhart Soft Matter 18, 5037-5051, 2022 | 24 | 2022 |
| Unsupervised learning of atomic environments from simple features WF Reinhart Computational Materials Science 196, 110511, 2021 | 20 | 2021 |
| Crystal growth kinetics of triblock Janus colloids WF Reinhart, AZ Panagiotopoulos The Journal of chemical physics 148 (12), 2018 | 18 | 2018 |
| Multi-atom pattern analysis for binary superlattices WF Reinhart, AZ Panagiotopoulos Soft matter 13 (38), 6803-6809, 2017 | 16 | 2017 |
| -operator limits on optical communication: Metaoptics, computation, and input-output transformations S Molesky, P Chao, J Mohajan, W Reinhart, H Chi, AW Rodriguez Physical Review Research 4 (1), 013020, 2022 | 13 | 2022 |
| Implementation of the RETRO anthropogenic emission inventory into the GEOS-Chem Model W Reinhart, D Millet University of Minnesota, Minneapolis, MN, available at: http://wiki. seas …, 2011 | 7 | 2011 |
| Opportunities and challenges for inverse design of nanostructures with sequence defined macromolecules WF Reinhart, A Statt Accounts of Materials Research 2 (9), 697-700, 2021 | 5 | 2021 |
Athanassios Z PanagiotopoulosSusan Dod Brown Professor of Chemical and Biological Engineering, Princeton Univ.在 princeton.edu 的电子邮件经过验证
