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@PHDTHESIS{Shakya:646135,
author = {Shakya, Yashoj},
othercontributors = {Santra, Robin and Inhester, Ludger},
title = {{U}ltrafast {Q}uantum-{C}lassical {D}ynamics:
{A}pplications in {X}-ray {S}pectroscopy and {M}ethod
{D}evelopment},
school = {University of Hamburg},
type = {Dissertation},
reportid = {PUBDB-2026-00735},
pages = {114},
year = {2022},
note = {Dissertation, University of Hamburg, 2022},
abstract = {Recent advances in laser technologies such as x-ray
free-electron lasers and high harmonic generation have led
to ever-shorter light pulses that enable us to probe
ultrafastnuclear and electronic dynamics in atoms and
molecules. Theoretical quantum dynamics simulations are
indispensable in gaining deeper insights into these
ultrafastprocesses. However, treating both electrons and
nuclei fully quantum mechanically is computationally not
feasible for large systems. Hence, due to their
computationalefficiency, mixed quantum-classical dynamics
methods such as Tully’s fewest switches surface hopping
(FSSH) have become popular, in spite of their limitations.
In thisthesis, I demonstrate how FSSH dynamics, combined
with advanced statistical analysis techniques, can be used
to understand ultrafast phenomena traced in
experimentalspectra such as time-resolved x-ray absorption
spectra (TRXAS). Furthermore, I introduce a new method
developed to improve FSSH to provide a better description
ofelectronic coherences relevant in attosecond science.With
the aim of understanding the first steps of radiation damage
in biomolecules, the first part of this thesis focuses on ab
initio FSSH dynamics simulations of valenceionized urea
monomer and dimer in vacuum as a prototypical example.
Investigating the carbon, nitrogen, and oxygen K-edges in
the simulated TRXAS reveals rich in-sights into the
ultrafast processes. Further information is gained by
applying machine learning techniques for statistical
analysis which unravel uncorrelated collective mo-tions that
most influence the spectra. Extending these simulations to
urea in aqueous solution, I show in the second part of this
thesis how the effect of proton transferbetween two
hydrogen-bonded ureas and the subsequent electronic
structure changes leave two distinct marks on the carbon
K-edge of the TRXAS. This enables us to sep-arate the effect
of nuclear and electronic motion on the spectra. These
liquid phase results are in good agreement with recent
pump-probe experiments on aqueous urea.In the last part, I
present a new method, named ring polymer surface hopping -
density matrix approach (RPSH-DM), developed to alleviate
one of the shortcomingsof FSSH, namely the so-called
overcoherence problem, which manifests as a poor description
of electronic coherence and decoherence phenomena. RPSH-DM
combinesFSSH with ring polymer molecular dynamics to
incorporate decoherence effects by utilizing the spatial
extent of the ring polymer, mimicking the width of the
nuclearwave packet. By applying this method to a
one-dimensional model system, I show how RPSH-DM can capture
crucial decoherence mechanisms that are not present in
FSSH.In future studies, employing RPSH-DM to investigate
polyatomic systems can provide vital insights into ultrafast
electronic processes occurring in attosecond experiments.},
cin = {CFEL-DESYT / FS-CFEL-3},
cid = {I:(DE-H253)CFEL-DESYT-20160930 /
I:(DE-H253)FS-CFEL-3-20120731},
pnm = {631 - Matter – Dynamics, Mechanisms and Control
(POF4-631)},
pid = {G:(DE-HGF)POF4-631},
experiment = {EXP:(DE-MLZ)NOSPEC-20140101},
typ = {PUB:(DE-HGF)11},
urn = { urn:nbn:de:gbv:18-ediss-111527},
url = {https://bib-pubdb1.desy.de/record/646135},
}