A Probabilistic Method of Characterizing Transit Times for Quantum Particles in Non-Stationary States

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ISSN Print: 2153-1196
ISSN Online: 2153-120X
www.scirp.org/journal/jmp
E-mail: jmp@scirp.org

"A Probabilistic Method of Characterizing Transit Times for Quantum Particles in Non-Stationary States"
written by Hae-Won Kim, Karl Sohlberg,
published by Journal of Modern Physics, Vol.4 No.8, 2013

has been cited by the following article(s):

[1]	Signatures of Quantum Interference in the Time Dependence of Charge Transfer in Donor–Bridge–Acceptor Molecules
	Journal of Computational Biophysics and …, 2021

[2]	Influence of ring position on the temporal dependence of charge movement in a switchable [2] rotaxane
	2020

[3]	Development of Models for Predicting the Properties of Switchable Mechanically Interlocked Molecular Architectures
	2019

[4]	Comparing Statistical Predictions of Quantum Particle Transit Times in Molecular Systems to Experimental Measurements
	2019

[5]	Quantifying electron transit in donor-bridge-acceptor systems using probabilistic confidence
	Journal of Theoretical and Computational Chemistry, 2018

[6]	The Development of Novel Models to Further the Understanding of Nanoscale Material Dynamics
	2015

[1]	Signatures of Quantum Interference in the Time Dependence of Charge Transfer in Donor–Bridge–Acceptor Molecules Journal of Computational Biophysics and Chemistry, 2021 DOI:10.1142/S2737416521500459

[2]	Influence of ring position on the temporal dependence of charge movement in a switchable [2]rotaxane International Journal of Quantum Chemistry, 2020 DOI:10.1002/qua.26078

[3]	Influence of ring position on the temporal dependence of charge movement in a switchable [2]rotaxane International Journal of Quantum Chemistry, 2020 DOI:10.1002/qua.26078

[4]	Comparing statistical predictions of quantum particle transit times in molecular systems to experimental measurements Journal of Theoretical and Computational Chemistry, 2019 DOI:10.1142/S0219633619500391

[5]	Quantifying electron transit in donor-bridge-acceptor systems using probabilistic confidence Journal of Theoretical and Computational Chemistry, 2018 DOI:10.1142/S0219633618500463

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