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20152025
most citedElectronic Spectra from TDDFT and Machine Learning in Chemical Space

278 citations · 311 across the 9 of their papers we have counts for

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8 papers · 1 filter

physics.chem-ph2025

Chemical Space of Molecular Nanomotors: Optimizing Photochemical Properties for One- and Two-photon Applications

Alexander Mielke, Alexander Scrimgeour, Enrico Tapavicza

Light-driven molecular nanomotors hold promise for applications in material science and biomedicine. Significant efforts have focused on improving their efficiency, often targeting…

physics.chem-ph2025

First principles prediction of wavelength-dependent isomerization quantum yields of a second-generation molecular nanomotor

Jesús Lucia-Tamudo, Michelle Menkel-Lantz, Enrico Tapavicza

Second-generation molecular nanomotors are becoming more popular within the biomedical field and intense research is being conducted to increase their efficiency for light-induced…

physics.chem-ph2023

Ab initio simulation of the ultrafast circular dichroism spectrum of provitamin D ring-opening

Enrico Tapavicza, Trevor Reutershan, Travis Thompson

We present a method to simulate ultrafast pump-probe time-resolved circular dichroism (TRCD) spectra based on time-dependent density functional theory trajectory surface hopping. T…

physics.chem-ph2022

Conformationally controlled photochemistry studied by trajectory surface hopping

Enrico Tapavicza

This article reviews trajectory surface hopping methods to study conformationally controlled photochemistry. Besides focusing on the linear response time-dependent density function…

physics.chem-ph2022

Applicability of the thawed Gaussian wavepacket dynamics to the calculation of vibronic spectra of molecules with double-well potential energy surfaces

Tomislav Begušić, Enrico Tapavicza, Jiří Vaníček

Simulating vibrationally resolved electronic spectra of anharmonic systems, especially those involving double-well potential energy surfaces, often requires expensive quantum dynam…

physics.chem-ph2021

Elucidating atmospheric brown carbon -- Supplanting chemical intuition with exhaustive enumeration and machine learning

Enrico Tapavicza, Guido Falk von Rudorff, David O. De Haan +4

To unravel the structures of C12H12O7 isomers, identified as light-absorbing photooxidation products of syringol in atmospheric chamber experiments, we apply a graph-based molecule…

physics.chem-ph2017★ 33 cited

The role of tachysterol in vitamin D photosynthesis - A non-adiabatic molecular dynamics study

Cecilia Cisneros, Travis Thompson, Noel Baluyot +2

To investigate the role of tachysterol in the photophysical/chemical regulation of vitamin D photosynthesis, we studied its electronic absorption properties and excited state dynam…

physics.chem-ph2015★ 278 cited

Electronic Spectra from TDDFT and Machine Learning in Chemical Space

Raghunathan Ramakrishnan, Mia Hartmann, Enrico Tapavicza +1

Due to its favorable computational efficiency time-dependent (TD) density functional theory (DFT) enables the prediction of electronic spectra in a high-throughput manner across ch…