'There are very few things that can be proved rigorously in condensed matter physics.' These famous words, brought to us by Nobel laureate Anthony James Leggett in 2003, summarize very well the challenging nature of problems researchers find themselves confronted with when entering the fascinating field of condensed matter physics. The former roots in the inherent many-body character of several quantum mechanical particles with modest to strong interactions between them: their individual properties might be easy to understand, while their collective behavior can be utterly complex. Strongly correlated electron systems, for example, exhibit several captivating phenomena such as superconductivity or spin-charge separation at temperatures f...
This topical issue compiles a series of articles on recent developments in the functional renormaliz...
Functional renormalization group (FRG) has become a diverse and powerful tool to derive effective lo...
The pseudofermion functional renormalization group PFFRG method has proven to be a powerful numeri...
The treatment of strongly interacting two-dimensional Fermi systems constitutes one of the most chal...
Renormalization group methods are well-established tools for the (numerical) investigation of the lo...
A formalism for electronic-structure calculations is presented that is based on the functional renor...
A formalism for electronic-structure calculations is presented that is based on the functional renor...
A formalism for electronic-structure calculations is presented that is based on the functional renor...
Strongly correlated electron systems host a plethora of fascinating physical phenomena and pose form...
We present a general frame to extend functional renormalization group (fRG) based computational sche...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.Vita.Includes bibliog...
Strongly correlated electron systems host a plethora of fascinating physical phenomena and pose form...
We perform a data-driven dimensionality reduction of the scale-dependent four-point vertex function ...
We perform a data-driven dimensionality reduction of the scale-dependent four-point vertex function ...
We present a novel scheme for an unbiased, nonperturbative treatment of strongly correlated fermions...
This topical issue compiles a series of articles on recent developments in the functional renormaliz...
Functional renormalization group (FRG) has become a diverse and powerful tool to derive effective lo...
The pseudofermion functional renormalization group PFFRG method has proven to be a powerful numeri...
The treatment of strongly interacting two-dimensional Fermi systems constitutes one of the most chal...
Renormalization group methods are well-established tools for the (numerical) investigation of the lo...
A formalism for electronic-structure calculations is presented that is based on the functional renor...
A formalism for electronic-structure calculations is presented that is based on the functional renor...
A formalism for electronic-structure calculations is presented that is based on the functional renor...
Strongly correlated electron systems host a plethora of fascinating physical phenomena and pose form...
We present a general frame to extend functional renormalization group (fRG) based computational sche...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.Vita.Includes bibliog...
Strongly correlated electron systems host a plethora of fascinating physical phenomena and pose form...
We perform a data-driven dimensionality reduction of the scale-dependent four-point vertex function ...
We perform a data-driven dimensionality reduction of the scale-dependent four-point vertex function ...
We present a novel scheme for an unbiased, nonperturbative treatment of strongly correlated fermions...
This topical issue compiles a series of articles on recent developments in the functional renormaliz...
Functional renormalization group (FRG) has become a diverse and powerful tool to derive effective lo...
The pseudofermion functional renormalization group PFFRG method has proven to be a powerful numeri...