Statistical Learning for Predicting Density‐Matrix Based Electron Dynamics

Stat ◽  
2021 ◽  
Author(s):  
Prachi Gupta ◽  
Harish S. Bhat ◽  
Karnamohit Ranka ◽  
Christine M. Isborn
Keyword(s):  
Density Matrix ◽  
Statistical Learning ◽  
Electron Dynamics

scholarly journals Theoretical framework for classification and prediction of ultrafast and strong-field phenomena in solids

2019 ◽  
Vol 205 ◽  
pp. 04013
Author(s):  
Stanislav Yu. Kruchinin ◽  
Ferenc Krausz ◽  
Vladislav S. Yakovlev
Keyword(s):  
Density Matrix ◽  
Time Scales ◽  
Strong Field ◽  
Laser Pulses ◽  
Theoretical Framework ◽  
Ultrashort Laser Pulses ◽  
Matrix Equations ◽  
Electron Dynamics ◽  
Characteristic Energy ◽  
Ultrashort Laser

We study the characteristic energy and time scales describing the coherent electron dynamics and decoherence phenomena in solids interacting with ultrashort laser pulses. Our analysis resulted in the derivation system of dimensionless adiabaticity parameters and derivation of the non-Markovian density-matrix equations applicable on arbitrary short timescales.

DENSITY MATRIX ANALYSIS AND SIMULATION OF ELECTRON DYNAMICS IN MULTIPLE-BRIDGED DONOR/ACCEPTOR MOLECULES UNDER DISSIPATIVE ENVIRONMENTS

2008 ◽  
Vol 07 (04) ◽  
pp. 869-877 ◽  
Author(s):  
YI ZHAO
Keyword(s):  
Electron Transfer ◽  
Density Matrix ◽  
Matrix Analysis ◽  
Integral Approach ◽  
Electron Dynamics ◽  
Transfer Rates ◽  
Donor Acceptor ◽  
Temperature Electron ◽  
Dissipative Environments ◽  
Acceptor Molecules

Feynman and Vernon path integral approach is adopted to investigate electron transfer dynamics in donor–bridge–acceptor molecules under dissipative environments. Especially, we focus on the solvent effect on the superexchange process of electron transfer. The results reveal that at high enough bridge energies or low enough temperature, electron can transfer with a superexchange mechanism no matter whether solvent is incorporated or not. However, the superexchange changes from coherent to incoherent limits when the dissipative strength increases, and electron transfer rates are much dependent on the dissipative strength.

scholarly journals A real-time extension of density matrix embedding theory for non-equilibrium electron dynamics

2018 ◽  
Vol 148 (5) ◽  
pp. 054108 ◽  
Author(s):  
Joshua S. Kretchmer ◽  
Garnet Kin-Lic Chan
Keyword(s):  
Density Matrix ◽  
Real Time ◽  
Electron Dynamics ◽  
Embedding Theory ◽  
Matrix Embedding ◽  
Time Extension ◽  
Non Equilibrium

Rapid Serial Auditory Presentation

2015 ◽  
Vol 62 (5) ◽  
pp. 346-351 ◽  
Author(s):  
Ana Franco ◽  
Julia Eberlen ◽  
Arnaud Destrebecqz ◽  
Axel Cleeremans ◽  
Julie Bertels
Keyword(s):  
Statistical Learning ◽  
Reaction Times ◽  
Visual Presentation ◽  
Detection Task ◽  
Speech Segmentation ◽  
Auditory Presentation ◽  
Indirect Measure ◽  
Speech Stream ◽  
Adult Participants ◽  
Presentation Procedure

Abstract. The Rapid Serial Visual Presentation procedure is a method widely used in visual perception research. In this paper we propose an adaptation of this method which can be used with auditory material and enables assessment of statistical learning in speech segmentation. Adult participants were exposed to an artificial speech stream composed of statistically defined trisyllabic nonsense words. They were subsequently instructed to perform a detection task in a Rapid Serial Auditory Presentation (RSAP) stream in which they had to detect a syllable in a short speech stream. Results showed that reaction times varied as a function of the statistical predictability of the syllable: second and third syllables of each word were responded to faster than first syllables. This result suggests that the RSAP procedure provides a reliable and sensitive indirect measure of auditory statistical learning.

Statistical Learning of Implicit Regularity Correlates With Acquisition of Chinese Literacy as a Second Language

2012 ◽  
Author(s):  
Denise H. Wu ◽  
Esther H.-Y. Shih ◽  
Ram Frost ◽  
Jun Ren Lee ◽  
Chiaying Lee ◽  
...  
Keyword(s):  
Second Language ◽  
Statistical Learning

Constraints on Statistical Learning: Active Adjoinment and Task Set

2011 ◽  
Author(s):  
John L. Jones ◽  
Michael P. Kaschak
Keyword(s):  
Statistical Learning ◽  
Task Set ◽  
And Task

Head orientation affects visual statistical learning

2010 ◽  
Author(s):  
Elizabeth R. Marsh ◽  
Arthur M. Glenberg
Keyword(s):  
Statistical Learning ◽  
Head Orientation ◽  
Visual Statistical Learning
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