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Fast and Accurate Excitation Energies from Density Matrix Renormalization Group Calculations Improved by Machine Learning
An estimation of optoelectronic properties is a crucial necessity and an ongoing challenge in modern functional material science. This involves accurate accessing of ground and excited states in systems with complex electronic structure that are often too computationally expensive for accurate many-
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