- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Advanced energy materials. 12(45),S. 1-10. ISSN: 1614-6840
- Ereignis
-
Veröffentlichung
- (wo)
-
Dresden
- (wer)
-
Technische Universität Dresden
- (wann)
-
2024
- Urheber
-
Albaladejo-Siguan, Miguel
Becker-Koch, David
Baird, Elizabeth C.
Hofstetter, Yvonne J.
Carwithen, Ben P.
Kirch, Anton
Reineke, Sebastian
Bakulin, Artem A.
Paulus, Fabian
Vaynzof, Yana
- URN
-
urn:nbn:de:bsz:14-qucosa2-882316
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:29 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Albaladejo-Siguan, Miguel
- Becker-Koch, David
- Baird, Elizabeth C.
- Hofstetter, Yvonne J.
- Carwithen, Ben P.
- Kirch, Anton
- Reineke, Sebastian
- Bakulin, Artem A.
- Paulus, Fabian
- Vaynzof, Yana
- Technische Universität Dresden
Entstanden
- 2024
Ähnliche Objekte (12)
Interdot Lead Halide Excess Management in PbS Quantum Dot Solar Cells
Single PbS colloidal quantum dot transistors
Interfacial Heterojunction Enables High Efficient PbS Quantum Dot Solar Cells
Broadband Optical Amplification of PbS Quantum‐Dot‐Doped Glass Fibers
Opto-electronics of PbS quantum dot and narrow bandgap polymer blends
Degradation mechanisms in PbS and AgBiS₂ quantum dot photovoltaic devices
Stable PbS colloidal quantum dot inks enable blade-coating infrared solar cells
Impact of Ligands on the Performance of PbS Quantum Dot Visible – Near - Infrared Photodetectors
Impact of Ligands on the Performance of PbS Quantum Dot Visible–Near‐Infrared Photodetectors
Improving the Performance of PbS Quantum Dot Solar Cells by Optimizing ZnO Window Layer
Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data
Solid‐State Ligand‐Exchange Fabrication of CH 3 NH 3 PbI 3 Capped PbS Quantum Dot Solar Cells
Interdot Lead Halide Excess Management in PbS Quantum Dot Solar Cells
Single PbS colloidal quantum dot transistors
Interfacial Heterojunction Enables High Efficient PbS Quantum Dot Solar Cells
Broadband Optical Amplification of PbS Quantum‐Dot‐Doped Glass Fibers
Opto-electronics of PbS quantum dot and narrow bandgap polymer blends
Degradation mechanisms in PbS and AgBiS₂ quantum dot photovoltaic devices
Stable PbS colloidal quantum dot inks enable blade-coating infrared solar cells
Impact of Ligands on the Performance of PbS Quantum Dot Visible – Near - Infrared Photodetectors
Impact of Ligands on the Performance of PbS Quantum Dot Visible–Near‐Infrared Photodetectors
Improving the Performance of PbS Quantum Dot Solar Cells by Optimizing ZnO Window Layer
Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data
Solid‐State Ligand‐Exchange Fabrication of CH 3 NH 3 PbI 3 Capped PbS Quantum Dot Solar Cells
Interdot Lead Halide Excess Management in PbS Quantum Dot Solar Cells
Single PbS colloidal quantum dot transistors
Interfacial Heterojunction Enables High Efficient PbS Quantum Dot Solar Cells
Broadband Optical Amplification of PbS Quantum‐Dot‐Doped Glass Fibers
Opto-electronics of PbS quantum dot and narrow bandgap polymer blends
Degradation mechanisms in PbS and AgBiS₂ quantum dot photovoltaic devices
Stable PbS colloidal quantum dot inks enable blade-coating infrared solar cells
Impact of Ligands on the Performance of PbS Quantum Dot Visible – Near - Infrared Photodetectors
Impact of Ligands on the Performance of PbS Quantum Dot Visible–Near‐Infrared Photodetectors
Improving the Performance of PbS Quantum Dot Solar Cells by Optimizing ZnO Window Layer
Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data