PROJECTS
Development of
alternative, screening based, local Coupled Cluster methods
and efficient
algorithms for parallel architectures
PRINCIPAL INVESTIGATOR
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Dr.
Alexander Auer Technische Universität Chemnitz Institut für Chemie Straße der Nationen 62 |
PROJECT RESEARCH ASSISTANT
ABSTRACT
In the field of Coupled Cluster method development for larger molecular
systems a gap has been opening during recent years between the robust
and highly accurate conventional methods and the local approximations that
suffer from a certain arbitrariness in the truncation scheme based on local
orbitals and excitation domains. The dynamical thresholding algorithm
developed in our group represents an alternative to the linear scaling
methods that focuses on accuracy and error-control rather than on efficiency.
In previous work it has been shown that using perturbation theory to
prescreen amplitudes leads to a Coupled Cluster approximation with
controllable error that does not require any a priori assumptions about the
structure of the wavefunction parameters. The project presented in this
proposal aims at turning the current pilot implementation into a fully efficient
scheme for parallel computer architectures. For this purpose the current
screening techniques have to be applied to the intermediate quantities that
occur in Coupled Cluster algorithms. In order to reach the break even point
of the new, low scaling algorithm to highly efficient conventional Coupled
Cluster implementations it is necessary to exploit the computational
resources of large scale parallel computer architectures. For the efficient
development of a new implementation automatic program generation
techniques will be used. Finally the features of the code will be extended to
energy gradients and the treatment of higher levels of excitations.