TY - JOUR
T1 - Charge transport network dynamics in molecular aggregates
AU - Jackson, Nicholas E.
AU - Chen, Lin X.
AU - Ratner, Mark A.
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2016/8/2
Y1 - 2016/8/2
N2 - Due to the nonperiodic nature of charge transport in disordered systems, generating insight into static charge transport networks, as well as analyzing the network dynamics, can be challenging. Here, e apply time-dependent network analysis to scrutinize the charge ransport networks of two representative molecular semiconductors: rigid n-Type molecule, perylenediimide, and a flexible p-Type olecule,bBDT(TDPP)2. Simulations reveal the relevant timescale or local transfer integral decorrelation to be 100 fs, which is hown to be faster than that of a crystalline morphology of the same molecule. Using a simple graph metric, global network changes are bserved over timescales competitive with charge carrier lifetimes. hese insights demonstrate that static charge transport networks re qualitatively inadequate, whereas average networks often overestimate network connectivity. Finally, a simple methodology for racking dynamic charge transport properties is proposed.
AB - Due to the nonperiodic nature of charge transport in disordered systems, generating insight into static charge transport networks, as well as analyzing the network dynamics, can be challenging. Here, e apply time-dependent network analysis to scrutinize the charge ransport networks of two representative molecular semiconductors: rigid n-Type molecule, perylenediimide, and a flexible p-Type olecule,bBDT(TDPP)2. Simulations reveal the relevant timescale or local transfer integral decorrelation to be 100 fs, which is hown to be faster than that of a crystalline morphology of the same molecule. Using a simple graph metric, global network changes are bserved over timescales competitive with charge carrier lifetimes. hese insights demonstrate that static charge transport networks re qualitatively inadequate, whereas average networks often overestimate network connectivity. Finally, a simple methodology for racking dynamic charge transport properties is proposed.
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U2 - 10.1073/pnas.1601915113
DO - 10.1073/pnas.1601915113
M3 - Article
AN - SCOPUS:84982764431
SN - 0027-8424
VL - 113
SP - 8595
EP - 8600
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 31
ER -