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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Poster
Author(s):
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...     »
Book / Congress title:
Materials Research Society Fall Meeting , Materials Research Society (MRS), Poster EP05.14.22
Congress (additional information):
Boston MA USA, 25-30 Nov 2018-11
Year:
2018
Quarter:
4. Quartal
Year / month:
2018-11
Month:
Nov
Language:
en
WWW:
https://www.mrs.org/docs/default-source/meetings-events/fall-meetings/2018/abstract-book.pdf?sfvrsn=421abc10_12
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