Efficient simulation of non-Markovian system-environment interaction

The numerical simulation of the interaction of electronic degrees of freedom with their environment is highly challenging when we want to know precise answers and when the environment has a complicated structure so that the evolution cannot be approximated by master equations. This is just the regime in which biological excitation energy transfer in photosynthetic complexes is taking place. In our group we had developed earlier the TEDOPA method while Javier Cerrillo, a former PhD student in the group, had developed another approach, the memory kernel method. During a visit at MIT and a return visit at Ulm we decided to merge the two methods to combine their strengths and the present paper is the result.

Efficient simulation of non-Markovian system-environment interaction