Benutzer: Gast  Login
Titel:

Machine Learning Based Ab Initio Numerical Study of Charge Transport within Non-Crystalline Organic Semiconductors

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Poster
Autor(en):
Kaiser, W.; Lederer, J.; Gagliardi, A.
Abstract:
Organic semiconductors (OSCs) are considered as highly feasible for the use in opto- and bioelectronic applications. The relatively low charge carrier mobility limits its current applicability. Insight into electronic structure-property relations is required to understand how to enhance the mobility. Various groups have been working towards a better understanding of the dependence of the mobility both relying on chemical intuition as well as using theoretical approaches covering structural infor...     »
Kongress- / Buchtitel:
Materials Research Society Fall Meeting , Materials Research Society (MRS), Poster EP05.14.22
Kongress / Zusatzinformationen:
Boston MA USA, 25-30 Nov 2018-11
Jahr:
2018
Quartal:
4. Quartal
Jahr / Monat:
2018-11
Monat:
Nov
Sprache:
en
WWW:
https://www.mrs.org/docs/default-source/meetings-events/fall-meetings/2018/abstract-book.pdf?sfvrsn=421abc10_12
 BibTeX