Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283812730> ?p ?o ?g. }
- W4283812730 abstract "We present an approach based upon binary tree tensor network (BTTN) states for computing steady-state current statistics for a many-particle 1D ratchet subject to volume exclusion interactions. The ratcheted particles, which move on a lattice with periodic boundary conditions subject to a time-periodic drive, can be stochastically evolved in time to sample representative trajectories via a Gillespie method. In lieu of generating realizations of trajectories, a BTTN state can variationally approximate a distribution over the vast number of many-body configurations. We apply the density matrix renormalization group algorithm to initialize BTTN states, which are then propagated in time via the time-dependent variational principle (TDVP) algorithm to yield the steady-state behavior, including the effects of both typical and rare trajectories. The application of the methods to ratchet currents is highlighted, but the approach extends naturally to other interacting lattice models with time-dependent driving. Although trajectory sampling is conceptually and computationally simpler, we discuss situations for which the BTTN TDVP strategy can be beneficial." @default.
- W4283812730 created "2022-07-06" @default.
- W4283812730 creator A5067267104 @default.
- W4283812730 creator A5074473194 @default.
- W4283812730 creator A5076116593 @default.
- W4283812730 date "2022-08-04" @default.
- W4283812730 modified "2023-10-11" @default.
- W4283812730 title "Computing time-periodic steady-state currents via the time evolution of tensor network states" @default.
- W4283812730 cites W1532759239 @default.
- W4283812730 cites W1550516781 @default.
- W4283812730 cites W1580989833 @default.
- W4283812730 cites W1864360008 @default.
- W4283812730 cites W1972633005 @default.
- W4283812730 cites W1974645033 @default.
- W4283812730 cites W1976190548 @default.
- W4283812730 cites W1976879565 @default.
- W4283812730 cites W1979239486 @default.
- W4283812730 cites W1984347942 @default.
- W4283812730 cites W2004203093 @default.
- W4283812730 cites W2007746476 @default.
- W4283812730 cites W2023692526 @default.
- W4283812730 cites W2028859507 @default.
- W4283812730 cites W2036463035 @default.
- W4283812730 cites W2036604884 @default.
- W4283812730 cites W2037768897 @default.
- W4283812730 cites W2084546468 @default.
- W4283812730 cites W2084725171 @default.
- W4283812730 cites W2084995257 @default.
- W4283812730 cites W2087508607 @default.
- W4283812730 cites W2090419142 @default.
- W4283812730 cites W2125483897 @default.
- W4283812730 cites W2125744693 @default.
- W4283812730 cites W2134344701 @default.
- W4283812730 cites W2152696833 @default.
- W4283812730 cites W2155418451 @default.
- W4283812730 cites W2327599667 @default.
- W4283812730 cites W2541249432 @default.
- W4283812730 cites W2596290661 @default.
- W4283812730 cites W2734439325 @default.
- W4283812730 cites W2750040013 @default.
- W4283812730 cites W2788206363 @default.
- W4283812730 cites W2915812822 @default.
- W4283812730 cites W2920373744 @default.
- W4283812730 cites W2954652385 @default.
- W4283812730 cites W2962912209 @default.
- W4283812730 cites W2964533955 @default.
- W4283812730 cites W2995763982 @default.
- W4283812730 cites W3009458792 @default.
- W4283812730 cites W3012725195 @default.
- W4283812730 cites W3015061942 @default.
- W4283812730 cites W3025003171 @default.
- W4283812730 cites W3098351521 @default.
- W4283812730 cites W3098459876 @default.
- W4283812730 cites W3100056737 @default.
- W4283812730 cites W3100141673 @default.
- W4283812730 cites W3102090302 @default.
- W4283812730 cites W3102980502 @default.
- W4283812730 cites W3103713775 @default.
- W4283812730 cites W3217341968 @default.
- W4283812730 cites W4251024638 @default.
- W4283812730 cites W4280603167 @default.
- W4283812730 doi "https://doi.org/10.1063/5.0099741" @default.
- W4283812730 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35933195" @default.
- W4283812730 hasPublicationYear "2022" @default.
- W4283812730 type Work @default.
- W4283812730 citedByCount "3" @default.
- W4283812730 countsByYear W42838127302022 @default.
- W4283812730 countsByYear W42838127302023 @default.
- W4283812730 crossrefType "journal-article" @default.
- W4283812730 hasAuthorship W4283812730A5067267104 @default.
- W4283812730 hasAuthorship W4283812730A5074473194 @default.
- W4283812730 hasAuthorship W4283812730A5076116593 @default.
- W4283812730 hasBestOaLocation W42838127302 @default.
- W4283812730 hasConcept C106553664 @default.
- W4283812730 hasConcept C112675119 @default.
- W4283812730 hasConcept C121332964 @default.
- W4283812730 hasConcept C121864883 @default.
- W4283812730 hasConcept C13662910 @default.
- W4283812730 hasConcept C155281189 @default.
- W4283812730 hasConcept C182310444 @default.
- W4283812730 hasConcept C18762648 @default.
- W4283812730 hasConcept C202444582 @default.
- W4283812730 hasConcept C24890656 @default.
- W4283812730 hasConcept C2777694918 @default.
- W4283812730 hasConcept C2781204021 @default.
- W4283812730 hasConcept C33923547 @default.
- W4283812730 hasConcept C62520636 @default.
- W4283812730 hasConceptScore W4283812730C106553664 @default.
- W4283812730 hasConceptScore W4283812730C112675119 @default.
- W4283812730 hasConceptScore W4283812730C121332964 @default.
- W4283812730 hasConceptScore W4283812730C121864883 @default.
- W4283812730 hasConceptScore W4283812730C13662910 @default.
- W4283812730 hasConceptScore W4283812730C155281189 @default.
- W4283812730 hasConceptScore W4283812730C182310444 @default.
- W4283812730 hasConceptScore W4283812730C18762648 @default.
- W4283812730 hasConceptScore W4283812730C202444582 @default.
- W4283812730 hasConceptScore W4283812730C24890656 @default.
- W4283812730 hasConceptScore W4283812730C2777694918 @default.
- W4283812730 hasConceptScore W4283812730C2781204021 @default.
- W4283812730 hasConceptScore W4283812730C33923547 @default.