@article{RodriguezKramer, author = {Rodr{\´i}guez, Mirta and Kramer, Tobias}, title = {Machine Learning of Two-Dimensional Spectroscopic Data}, series = {Chemical Physics}, volume = {520}, journal = {Chemical Physics}, doi = {10.1016/j.chemphys.2019.01.002}, pages = {52 -- 60}, abstract = {Two-dimensional electronic spectroscopy has become one of the main experimental tools for analyzing the dynamics of excitonic energy transfer in large molecular complexes. Simplified theoretical models are usually employed to extract model parameters from the experimental spectral data. Here we show that computationally expensive but exact theoretical methods encoded into a neural network can be used to extract model parameters and infer structural information such as dipole orientation from two dimensional electronic spectra (2DES) or reversely, to produce 2DES from model parameters. We propose to use machine learning as a tool to predict unknown parameters in the models underlying recorded spectra and as a way to encode computationally expensive numerical methods into efficient prediction tools. We showcase the use of a trained neural network to efficiently compute disordered averaged spectra and demonstrate that disorder averaging has non-trivial effects for polarization controlled 2DES.}, language = {en} } @article{KramerRodriguez, author = {Kramer, Tobias and Rodr{\´i}guez, Mirta}, title = {Effect of disorder and polarization sequences on two-dimensional spectra of light harvesting complexes}, series = {Photosynthesis Research}, volume = {144}, journal = {Photosynthesis Research}, doi = {10.1007/s11120-019-00699-6}, pages = {147 -- 154}, abstract = {Two-dimensional electronic spectra (2DES) provide unique ways to track the energy transfer dynamics in light-harvesting complexes. The interpretation of the peaks and structures found in experimentally recorded 2DES is often not straightforward, since several processes are imaged simultaneously. The choice of specific pulse polarization sequences helps to disentangle the sometimes convoluted spectra, but brings along other disturbances. We show by detailed theoretical calculations how 2DES of the Fenna-Matthews-Olson complex are affected by rotational and conformational disorder of the chromophores.}, language = {en} } @article{KramerNoackReinefeldetal., author = {Kramer, Tobias and Noack, Matthias and Reinefeld, Alexander and Rodr{\´i}guez, Mirta and Zelinskyi, Yaroslav}, title = {Efficient calculation of open quantum system dynamics and time-resolved spectroscopy with Distributed Memory HEOM (DM-HEOM)}, series = {Journal of Computational Chemistry}, volume = {39}, journal = {Journal of Computational Chemistry}, number = {22}, publisher = {Wiley Periodicals, Inc.}, doi = {doi:10.1002/jcc.25354}, pages = {1779 -- 1794}, abstract = {Time- and frequency resolved optical signals provide insights into the properties of light harvesting molecular complexes, including excitation energies, dipole strengths and orientations, as well as in the exciton energy flow through the complex. The hierarchical equations of motion (HEOM) provide a unifying theory, which allows one to study the combined effects of system-environment dissipation and non-Markovian memory without making restrictive assumptions about weak or strong couplings or separability of vibrational and electronic degrees of freedom. With increasing system size the exact solution of the open quantum system dynamics requires memory and compute resources beyond a single compute node. To overcome this barrier, we developed a scalable variant of HEOM. Our distributed memory HEOM, DM-HEOM, is a universal tool for open quantum system dynamics. It is used to accurately compute all experimentally accessible time- and frequency resolved processes in light harvesting molecular complexes with arbitrary system-environment couplings for a wide range of temperatures and complex sizes.}, language = {en} } @article{KramerNoackReimersetal., author = {Kramer, Tobias and Noack, Matthias and Reimers, Jeffrey R. and Reinefeld, Alexander and Rodr{\´i}guez, Mirta and Yin, Shiwei}, title = {Energy flow in the Photosystem I supercomplex: comparison of approximative theories with DM-HEOM}, series = {Chemical Physics}, volume = {515}, journal = {Chemical Physics}, publisher = {Elsevier B.V.}, doi = {10.1016/j.chemphys.2018.05.028}, pages = {262 -- 271}, abstract = {We analyze the exciton dynamics in PhotosystemI from Thermosynechococcus elongatus using the distributed memory implementation of the hierarchical equation of motion (DM-HEOM) for the 96 Chlorophylls in the monomeric unit. The exciton-system parameters are taken from a first principles calculation. A comparison of the exact results with Foerster rates and Markovian approximations allows one to validate the exciton transfer times within the complex and to identify deviations from approximative theories. We show the optical absorption, linear, and circular dichroism spectra obtained with DM-HEOM and compare them to experimental results.}, language = {en} }