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    QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
                                      
                                            Zwolak, Justyna P.,                              Kalantre, Sandesh S.,                              Wu, Xingyao,                              Ragole, Stephen,                              Taylor, Jacob M.                              
Published in PloS one (17.10.2018)
                   
      
      
                                                  Published in PloS one (17.10.2018)
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              Journal Article
          
              
          Chemical feature-based machine learning model for predicting photophysical properties of BODIPY compounds: density functional theory and quantitative structure–property relationship modeling
                                      
                                            Casanola-Martin, Gerardo M.,                              Wang, Jing,                              Zhou, Jian-ge,                              Rasulev, Bakhtiyor,                              Leszczynski, Jerzy                              
Published in Journal of molecular modeling (01.01.2025)
                   
      
      
                                                  Published in Journal of molecular modeling (01.01.2025)
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          GRAPE for fast and scalable graph processing and random-walk-based embedding
                                      
                                            Cappelletti, Luca,                              Fontana, Tommaso,                              Casiraghi, Elena,                              Ravanmehr, Vida,                              Callahan, Tiffany J,                              Cano, Carlos,                              Joachimiak, Marcin P,                              Mungall, Christopher J,                              Robinson, Peter N,                              Reese, Justin,                              Valentini, Giorgio                              
Published in Nature Computational Science (01.06.2023)
                   
      
      
                                                  Published in Nature Computational Science (01.06.2023)
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          MetPy: A Meteorological Python Library for Data Analysis and Visualization
                                      
                                            May, Ryan M.,                              Goebbert, Kevin H.,                              Thielen, Jonathan E.,                              Leeman, John R.,                              Camron, M. Drew,                              Bruick, Zachary,                              Bruning, Eric C.,                              Manser, Russell P.,                              Arms, Sean C.,                              Marsh, Patrick T.                              
Published in Bulletin of the American Meteorological Society (01.10.2022)
                   
      
      
                                                  Published in Bulletin of the American Meteorological Society (01.10.2022)
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              Journal Article