Generalized transfer matrix states from artificial neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review B"
DOI: 10.1103/physrevb.99.165123
Abstract: Identifying variational wavefunctions that efficiently parametrize the physically relevant states in the exponentially large Hilbert space is one of the key tasks towards solving the quantum many-body problem. Powerful tools in this context such as… read more here.
Keywords: matrix states; generalized transfer; neural networks; transfer matrix ... See more keywords
Data-Driven Modeling of Weakly Nonlinear Circuits via Generalized Transfer Function Approximation
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DOI: 10.1109/access.2024.3520388
Abstract: This paper presents an extension of the Vector Fitting algorithm with the purpose of constructing compact behavioral models of weakly nonlinear circuits starting from frequency-domain input-output data. Using the concept of generalized transfer function provided… read more here.
Keywords: weakly nonlinear; generalized transfer; transfer function; nonlinear circuits ... See more keywords