We have used state-of-the-art ab initio RASPT2 computations using a 16 orbitals, 18 electrons active space to produce an extended three dimensional map of the potential energy surfaces (PESs) of the ground and first nπ * excited state of azobenzene along CNNC torsion and the two CNN bending angles, which are the most relevant coordinates for the trans-cis photoisomerization process. Through comparison with fully unconstrained optimizations performed at the same level of theory, we show that the three selected coordinates suffice to correctly describe the photoisomerization mechanism and the S 1-S 0 crossing seam. We also provide a map of the non-adiabatic coupling between the two states in the region where they get closer in energy. Eventually, we show that treating the two CNN bending angles as independent coordinates is fundamental to break the symmetry and couple the two electronic states. The accuracy of the S 0 and S 1 PESs and couplings was validated with semiclassical dynamics simulations in the reduced space of the scanned coordinates, showing results in good agreement with published full-coordinates dynamics.
The developments of the open-source chemistry software environment since spring 2020 are described,
with a focus on novel functionalities accessible in the stable branch
of the package or via interfaces with other packages. These developments
span a wide range of topics in computational chemistry and are presented
in thematic sections: electronic structure theory, electronic spectroscopy
simulations, analytic gradients and molecular structure optimizations,
ab initio molecular dynamics, and other new features. This report
offers an overview of the chemical phenomena and processes can address, while showing that is an attractive platform for state-of-the-art
atomistic computer simulations.
X-ray diffraction is routinely used for structure determination of stationary molecular samples. Modern X-ray photon sources, e.g., from free-electron lasers, enable us to add temporal resolution to these scattering events, thereby providing a movie of atomic motions. We simulate and decipher the various contributions to the X-ray diffraction pattern for the femtosecond isomerization of azobenzene, a textbook photochemical process. A wealth of information is encoded besides real-time monitoring of the molecular charge density for the cis to trans isomerization. In particular, vibronic coherences emerge at the conical intersection, contributing to the total diffraction signal by mixed elastic and inelastic photon scattering. They cause distinct phase modulations in momentum space, which directly reflect the real-space phase modulation of the electronic transition density during the nonadiabatic passage. To overcome the masking by the intense elastic scattering contributions from the electronic populations in the total diffraction signal, we discuss how this information can be retrieved, e.g., by employing very hard X-rays to record large scattering momentum transfers.
This
work demonstrates how push–pull substitution can induce spectral tuning toward the
visible range and improve the photoisomerization efficiency of azobenzene-based
photoswitches, making them good candidates for technological and biological
applications. The red-shifted bright ππ* state (S2) behaves like the lower and more productive dark nπ*
(S1) state because less potential energy along the planar
bending mode is available to reach higher energy unproductive nπ*/S0 crossing regions, which are responsible for the lower quantum
yield of the parent compound. The stabilization of the bright ππ*
state and the consequent increase in isomerization efficiency may
be regulated via the strength of push–pull substituents. Finally, the torsional
mechanism is recognized here as the unique productive route because
structures with bending values attributable to the inversion mechanism
were never detected, out of the 280 ππ* time-dependent
density functional theory (RASPT2-validated) dynamics simulations.
Paper published as part of the special topic on Quantum Dynamics with ab Initio Potentials
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