Prof. Dr. Annika Bande

© Sören Pinsdorf / LUH
Prof. Dr. Annika Bande
Address
Welfengarten 1A
30167 Hannover
Building
Room
© Sören Pinsdorf / LUH
Prof. Dr. Annika Bande
Address
Welfengarten 1A
30167 Hannover
Building
Room

Research in PhoenixD

A. Bande leads the research group Optical Materials: Computational Methods in the Institute of Inorganic Chemistry. In PhoenixD she contributes to the discovery and computational characterization of new, adaptive materials and to the development of efficient and versatile simulation techniques.

One topical focus lies in electron dynamics techniques for the simulation of light-induced electronic processes in molecular or nanostructured materials at an attosecond time scale. These methods can address light-driven resonance energy transfer processes among nanoparticles assembled in a host material, e.g. germanium in silicon, to stabilize excitons with desired properties [1]. It can likewise optically switch among states in adaptive materials based on molecular chromophores. For time-efficient calculations, the group-owned code Jellyfish [2] is prepared for execution on quantum computers [3]. In optical material design, theory plays a key role complementing synthesis and analysis by providing multi-scale structure and property calculations of nanostructured, functional materials [4]. Here the group replaces computationally demanding quantum-chemistry calculations by explainable machine learning predictions of material properties as, e.g., optical gaps [5] or spectroscopic fingerprints [6]. This latter part is hand in hand with the PhoenixD cooperation partner Helmholtz-Zentrum Berlin.

Atomistic simulations of laser-controlled exciton transfer and stabilization in symmetric double quantum dots [1]
Workflow of setting up a molecular graph neural network for the prediction optical excitation spectra followed including explainability tools for the spectra interpretation [6]
  1. P. Krause, J. C. Tremblay, A. Bande, J. Phys. Chem. A 2021, 125, 4793, https://doi.org/10.1021/acs.jpca.1c02501
  2. F. Langkabel, P. Krause, A. Bande “JELLYFISH: a modular code for wave function-based electron dynamics simulations and visualizations on traditional and quantum compute architectures”, WIREs Comput. Mol. Sci. 14, e1696 (2024), 10.1002/wcms.1696.
  3. F. Langkabel, A. Bande, "A Quantum-compute Algorithm for the Exact Laser-driven Electron Dynamics in Molecules", J. Chem. Theo. Comput. 18, 7082 (2022), 10.1021/acs.jctc.2c00878
  4. Y. Schütze, D. Gayen, K. Palczynski, R. de Oliveira Silva, Y. Lu, M. Tovar, P. Partouvi-Azar, A. Bande, J. Dzubiella,"How regiochemistry influences aggregation behavior and change transport in organosulfur polymer cathodes for lithium-sulfur batteries", ACS Nano 17, 7889 (2023), 10.1021/acsnano.3c01523
  5. T. Kirschbaum, B. von Seggern, J. Dzubiella, A. Bande, F. Noé, "Machine Learning Frontier Orbital Energies of Nanodiamonds", J. Chem. Theory Comput. 19, 4461 (2023), 10.1021/acs.jctc.2c01275
  6. A. Kotobi, K. Singh, D. Höche, S. Bari, R. Meißner, A. Bande, “Integrating Explainability into Graph Neural Network Models for the Prediction X-ray Absorption Spectra”, J. Am. Chem. Soc. 145, 22584 (2023), 10.1021/jacs.3c07513.