Zobrazeno 1 - 10
of 584
pro vyhledávání: '"Manganaris, A."'
Expanding the pool of stable halide perovskites with attractive optoelectronic properties is crucial to addressing current limitations in their performance as photovoltaic (PV) absorbers. In this article, we demonstrate how a high-throughput density
Externí odkaz:
http://arxiv.org/abs/2310.13153
Autor:
Rahman, Md Habibur, Gollapalli, Prince, Manganaris, Panayotis, Yadav, Satyesh Kumar, Pilania, Ghanshyam, DeCost, Brian, Choudhary, Kamal, Mannodi-Kanakkithodi, Arun
Here, we develop a framework for the prediction and screening of native defects and functional impurities in a chemical space of Group IV, III-V, and II-VI zinc blende (ZB) semiconductors, powered by crystal Graph-based Neural Networks (GNNs) trained
Externí odkaz:
http://arxiv.org/abs/2309.06423
Novel halide perovskites with improved stability and optoelectronic properties can be designed via composition engineering at cation and/or anion sites. Data-driven methods, especially high-throughput first principles computations and subsequent anal
Externí odkaz:
http://arxiv.org/abs/2302.04896
Autor:
Selimis, Dimitrios G., De Guzman, Mar Francis, Lazarakis, Fotis I., Manganaris, Kyriakos N., Peppas, Kostas P., Haneda, Katsuyuki
In this paper, we present new measurement results to model large-scale path loss, angular spread and channel sparsity at the sub-THz (141-145 GHz) band, for both indoor and outdoor scenarios. Extensive measurement campaigns have been carried out, tak
Externí odkaz:
http://arxiv.org/abs/2209.11324
Autor:
Selimis, Dimitrios G., De Guzman, Mar Francis, Manganaris, Kyriakos N., Lazarakis, Fotis I., Haneda, Katsuyuki, Peppas, Kostas P.
Publikováno v:
In Physical Communication October 2024 66
Autor:
Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian DeCost, Kamal Choudhary, Arun Mannodi-Kanakkithodi
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 016122-016122-18 (2024)
First-principles computations reliably predict the energetics of point defects in semiconductors but are constrained by the expense of using large supercells and advanced levels of theory. Machine learning models trained on computational data, especi
Externí odkaz:
https://doaj.org/article/d69c2a05bee64b1d8b4edec5e91a559c
Publikováno v:
In Trends in Plant Science February 2024 29(2):150-166
Publikováno v:
In Physical Communication December 2023 61
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Chemical Physics; 2/14/2024, Vol. 160 Issue 6, p1-15, 15p