Drift-diffusion and Machine Learning for High Efficiency Perovskite-Perovskite based Tandem Solar Cells

Singh, Ajay; Gagliardi, Alessio

Request a copy

Poster (Scientific congresses, symposiums and conference proceedings)

Drift-diffusion and Machine Learning for High Efficiency Perovskite-Perovskite based Tandem Solar Cells

Singh, Ajay; Gagliardi, Alessio

2019 • Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV19) (/HOPV19)

Permalink
https://hdl.handle.net/10993/47900

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

hopv2019.pdf

Author postprint (201.29 kB)

Request a copy

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Disciplines :

Physics

Author, co-author :

Singh, Ajay ; Department of Electrical and Computer Engineering, Technical University of Munich

Gagliardi, Alessio; Department of Electrical and Computer Engineering, Technical University of Munich

External co-authors :

yes

Language :

English

Title :

Drift-diffusion and Machine Learning for High Efficiency Perovskite-Perovskite based Tandem Solar Cells

Publication date :

May 2019

Event name :

Proceedings of International Conference on Hybrid and Organic Photovoltaics (HOPV19) (/HOPV19)

Event organizer :

Prashant Kamat, Filippo De Angelis and Aldo Di Carlo

Event place :

Luxembourg, Italy

Event date :

from 12-05-2019 to 15-05.2019

Audience :

International

Focus Area :

Physics and Materials Science

Additional URL :

https://www.nanoge.org/proceedings/HOPV19/5c35fb65c551940ccd2f4349

Available on ORBilu :

since 31 August 2021

Statistics

Number of views

98 (16 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics