Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods [PDF]
Royal Society Open Science, 2020 Myofibre architecture is one of the essential components when constructing personalized cardiac models. In this study, we develop a neonatal porcine bi-ventricle model with three different myofibre architectures for the left ventricle (LV).
Debao Guan +3 more
doaj +1 more source
Tensor network method for reversible classical computation [PDF]
, 2018 We develop a tensor network technique that can solve universal reversible classical computational problems, formulated as vertex models on a square lattice [Nat. Commun. 8, 15303 (2017)]. By encoding the truth table of each vertex constraint in a tensor,
Chamon, Claudio +4 more
core +2 more sources
Algebraically contractible topological tensor network states [PDF]
Journal of Physics A: Mathematical and Theoretical, 2011 23 pages, 6 ...
S. J. Denny +5 more
openaire +6 more sources
On the Energy-Momentum Density of Gravitational Plane Waves [PDF]
, 2004 By embedding Einstein's original formulation of GR into a broader context we show that a dynamic covariant description of gravitational stress-energy emerges naturally from a variational principle.
Bel L +13 more
core +2 more sources
CRUSTAL DEFORMATION IN NW IRAN: INSIGHTS FROM DIFFERENT INVARIANT AND VARIANT COMPONENTS OF GEODETIC STRAIN RATE TENSORS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Northwest of Iran, as a tectonically active region, has experienced numerous devastating earthquakes. That is why it is so important to study the earth deformation in this area and to provide more precise insights.
M. Rahmani +3 more
doaj +1 more source
Distributed-memory multi-GPU block-sparse tensor contraction for electronic structure
IEEE International Parallel and Distributed Processing Symposium, 2020 Many domains of scientific simulation (chemistry, condensed matter physics, data science) increasingly eschew dense tensors for block-sparse tensors, sometimes with additional structure (recursive hierarchy, rank sparsity, etc.).
T. Hérault +6 more
semanticscholar +1 more source
Simulating Quantum Computation by Contracting Tensor Networks [PDF]
SIAM Journal on Computing, 2008 7 ...
Igor L. Markov, Yaoyun Shi
openaire +3 more sources
Benchmarking treewidth as a practical component of tensor network simulations.
PLoS ONE, 2018 Tensor networks are powerful factorization techniques which reduce resource requirements for numerically simulating principal quantum many-body systems and algorithms.
Eugene F Dumitrescu +5 more
doaj +1 more source
Efficient computation of the second-Born self-energy using tensor-contraction operations. [PDF]
Journal of Chemical Physics, 2019 In the nonequilibrium Green's function approach, the approximation of the correlation self-energy at the second-Born level is of particular interest, since it allows for a maximal speed-up in computational scaling when used together with the generalized ...
R. Tuovinen, F. Covito, Michael A Sentef
semanticscholar +1 more source
Efficient Compilation of a Class of Variational Forms [PDF]
, 2007 We investigate the compilation of general multilinear variational forms over affines simplices and prove a representation theorem for the representation of the element tensor (element stiffness matrix) as the contraction of a constant reference tensor ...
Anders Logg +7 more
core +3 more sources