“Quantum Effects in Molecular Systems in the Gaseous and Condensed Phases: Method Development and Applications”

  • Category: LabEx NUMEV Monthly Seminar #11
  • Dates: June 2, 2023
  • Schedule: From 11 a.m. to 12 p.m.
  • Location: Triolet Campus , Building 7 - Place Eugène Bataillon, 30090 Montpellier

The NUMEV Seminars are open to a wide audience of students and researchers from all disciplines who wish to learn more about the current research areas of the NUMEV-MIPS community (Mathematics, Computer Science, Physics, and Systems) or about opportunities to develop their skills and expertise.

“Quantum Effects in Molecular Systems in the Gaseous and Condensed Phases: Method Development and Applications”
Llinersy Uranga-Pina, DynAMoS (Dynamical processes in Atomic and Molecular Systems), University of Havana & MAK’IT (Montpellier Advanced Knowledge Institute on Transitions), University of Montpellier

The theoretical study of the physical properties of systems at the nanoscale poses significant challenges for modern computational physics and chemistry, due to the manifestation of significant quantum effects and the need for accurate first-principles descriptions of the relevant intermolecular interactions. While computer simulations allow for essentially exact calculations of the thermodynamic and dynamic properties of classical systems, the goal of developing computational techniques with a similar degree of accuracy for generic many-body quantum systems remains difficult to achieve.

To this end, trajectory-based methods are particularly appealing, as they offer very favorable scaling properties for studying the dynamics of multidimensional systems, compared to wave packet propagation techniques.

We will demonstrate the performance (in terms of numerical accuracy and efficiency) of trajectory-based methods recently developed to study ultrafast quantum and semiclassical dynamics. We focus on the representation of interacting trajectories, which translates the initial quantum problem into the motion of an equivalent classical system (of higher dimension).

We will then illustrate the application of this and other methods to the computational study of technologically relevant phenomena, namely hydrogen absorption by nanostructured surfaces, the influence of geometry and chemical composition on the hydrogen storage capacities and photocatalytic efficiency of nanostructured surfaces, and the relationship between the size, structural, and chemical characteristics of organic conjugated molecules and their photoinduced dynamics, the spatial localization of excitons, and optoelectronic properties.

“Quantum Effects in Molecular Systems in the Gaseous and Condensed Phases: Method Development and Applications”
Llinersy Uranga-Pina, DynAMoS (Dynamical Processes in Atomic and Molecular Systems), University of Havana & MAK’IT (Montpellier Advanced Knowledge Institute on Transitions), University of Montpellier

Abstract

The theoretical study of the physical properties of nanoscale systems poses significant challenges for modern computational physics and chemistry, due to the presence of significant quantum effects and the need for accurate, first-principles descriptions of the relevant intermolecular interactions. While computer simulations allow for essentially exact calculations of the thermodynamic and dynamical properties of classical systems, the goal of developing computational techniques that achieve a similar degree of accuracy for generic many-body quantum systems remains elusive.

For this purpose, trajectory-based methods are particularly attractive, as they exhibit very favorable scaling properties for studying the dynamics of multidimensional systems, compared to wavepacket propagation techniques.

We will demonstrate the performance (in terms of numerical accuracy and efficiency) of recently developed trajectory-based methods for studying ultrafast quantum and semiclassical dynamics. We focus on the so-called Interacting Trajectory Representation, which maps the original quantum problem onto the motion of an equivalent (higher-dimensional) classical system.

Subsequently, we will demonstrate the application of this and other methods to the computational study of technologically relevant phenomena, specifically hydrogen uptake by nanostructured surfaces, the influence of geometry and chemical composition on the hydrogen storage capacities and photocatalytic efficiency of nanostructured surfaces, and the relationship between the size, structural, and chemical properties of organic conjugated molecules and their photoinduced dynamics, spatial localization of excitons, and optoelectronic properties.

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