Wszystkie pola: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA - Prolib Integro

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Wyszukujesz frazę "Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA" wg kryterium: Wszystkie pola

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Tytuł:: Effect of 1,3-Disubstituted Urea Derivatives as Additives on the Efficiency and Stability of Perovskite Solar Cells
Autorzy:: Yadav, Pankaj
Prochowicz, Daniel
Kruszyńska, Joanna
Akin, Seckin
Gupta, Sanjeev K.
Gajjar, Pankaj N.
Patel, Manushi J.
Tavakoli, Mohammad Mahdi
Sadegh, Faranak
Akman, Erdi
Współwytwórcy:: Institute of Physical Chemistry, Polish Academy of Sciences
Department of Physics, University School of Sciences, Gujarat University, India
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, USA
Department of Solar Energy, School of Technology, Pandit Deendayal Petroleum University, India
Computational Materials and Nanoscience Group, Department of Physics and Electronics, St. Xavier’s College, Ahmedabad, Gujarat, India
Scientific and Technological Research and Application Center, Karamanoglu Mehmetbey University, Karaman, Turkey
Department of Metallurgical and Materials Engineering, Faculty of Engineering, Necmettin Erbakan University, Konya, Turkey
Data publikacji:: 2022-10-25
Wydawca:: ACS Publications
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 2.

Tytuł:: A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
Autorzy:: Gogolewski, Krzysztof
Bracher, Johannes
Fairchild, Geoffrey
Li, Michael Lingzhi
Schienle, Melanie
Funk, Sebastian
Scholz, Markus
Srivastava, Ajitesh
Kirsten, Holger
Heyder, Stefan
Zielinski, Jakub
Deuschel, Jannik
Soni, Saksham
Görgen, Konstantin
Bosse, Nikos I.
Meinke, Jan H.
Niedzielewski, Karol
Wolffram, Daniel
Krymova, Ekaterina
Ullrich, Alexander
Krueger, Tyll
Castro, Lauren
Bertsimas, Dimitris
Ożański, Tomasz
Ketterer, Jakob L.
Bodych, Marcin
Hotz, Thomas
Gneiting, Tilmann
Fuhrmann, Jan
Michaud, Isaac
Bhatia, Sangeeta
Barbarossa, Maria Vittoria
Rakowski, Franciszek
Burgard, Jan Pablo
Gu, Quanquan
Abbott, Sam
Kheifetz, Yuri
Zou, Difan
Współwytwórcy:: Ming Hsieh Department of Computer and Electrical Engineering, University of Southern California, Los Angeles, USA
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw
Institute of Mathematics, Technische Universität Ilmenau, Germany
Swiss Data Science Center, ETH Zurich and EPFL, Lausanne, Switzerland
Economic and Social Statistics Department, University of Trier, Germany
Department of Computer Science, University of California, Los Angeles, USA
Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, USA
Information Systems and Modeling, Los Alamos National Laboratory, Los Alamos, USA
Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany
Institute of Informatics, University of Warsaw, Poland
Wroclaw University of Science and Technology, Wroclaw, Poland
Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Computational Statistics Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
Robert Koch Institute (RKI), Berlin, Germany
Sloan School of Management, Massachusetts Institute of Technology, Cambridge, USA
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany
London School of Hygiene and Tropical Medicine, London, UK
Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, UK
Operations Research Center, Massachusetts Institute of Technology, Cambridge, USA
Frankfurt Institute for Advanced Studies, Frankfurt, Germany
Data publikacji:: 2021
Wydawca:: Springer Nature
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 3.

Tytuł:: National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Autorzy:: Schienle, Melanie
Bodych, Marcin
Srivastava, Ajitesh
Ullrich, Alexander
Mohring, Jan
Krueger, Tyll
Deuschel, Jannik
Bhatia, Sangeeta
Leithäuser, Neele
Meinke, Jan H.
Kheifetz, Yuri
Bracher, Johannes
Michaud, Isaac J.
Gneiting, Tilmann
Miasojedow, Błażej
Castro, Lauren
Fiedler, Jochen
Bertsimas, Dimitris
Gogolewski, Krzysztof
Burgard, Jan Pablo
Radwan, Maciej
Wolffram, Danie
Soni, Saksham
Abbott, Sam
Li, Michael L.
Krymova, Ekaterina
Ketterer, Jakob L.
Scholz, Markus
Heyder, Stefan
Fairchild, Geoffrey
Nowosielski, Jędrzej M.
Ozanski, Tomasz
Funk, Sebastian
Nouvellet, Pierre
Rakowski, Franciszek
Kirsten, Holger
Hotz, Thomas
Barbarossa, Maria V.
Görgen, Konstantin
Bosse, Nikos I.
Gambin, Anna
Fuhrmann, Jan
Współwytwórcy:: HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany
InterdisciplinaryCentre for Mathematical and Computational Modelling, University of Warsaw
Institute of Mathematics,Technische Universität Ilmenau, Germany
Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany
Frankfurt Institute for Advanced Studies, Germany
Wroclaw University of Science and Technology, Poland
Institute for Applied Mathematics, University of Heidelberg, Germany
Information Systems and Modeling, Los Alamos National Laboratory, Los Alamos, NM, USA
Institute for Stochastics, Karlsruhe Institute of Technology (KIT), Germany
Robert Koch Institute (RKI), Berlin, Germany
Statistical Sciences Group, Los Alamos National Laboratory, USA
Ming Hsieh Department of Computer and Electrical Engineering, University of Southern California, Los Angeles, USA
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany
London School of Hygiene and Tropical Medicine, UK
School of Life Sciences, University of Sussex, Brighton, UK
Operations Research Center, MassachusettsInstitute of Technology, Cambridge, MA, USA
Chair of Statistical Methods and Econometrics, Karlsruhe Institute of Technology (KIT), Germany
Computational Statistics Group,Heidelberg Institute for Theoretical Studies (HITS), Germany
Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw
MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, London, UK
Economic and Social StatisticsDepartment, University of Trier, Germany
Sloan School of Management, Massachusetts Institute of Technology,Cambridge, MA, USA
Swiss Data Science Center, ETH Zürich and EPF Lausanne, Zürich, Switzerland
Data publikacji:: 2022
Wydawca:: Springer Nature
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Wyświetlanie 1-3 z 3

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