Results 41 to 50 of about 672,947 (320)
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 Contraction Layers for Parsimonious Deep Nets [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 Tensors offer a natural representation for many kinds of data frequently encountered in machine learning. Images, for example, are naturally represented as third order tensors, where the modes correspond to height, width, and channels.
Jean Kossaifi +4 more
semanticscholar +1 more source
Audiometric findings with voluntary tensor tympani contraction [PDF]
Journal of Otolaryngology - Head & Neck Surgery, 2017 Background Tensor tympani contraction may have a “signature” audiogram. This study demonstrates audiometric findings during voluntary tensor tympani contraction. Methods Five volunteers possessing the ability to voluntarily contract their tensor tympani muscles were identified and enrolled.
Brandon Wickens +2 more
openaire +2 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
Journal of Chemical Physics, 2023 In this paper, we use the previously introduced Canonical Polyadic (CP)-Multiple Shift Block Inverse Iteration (MSBII) eigensolver [S. D. Kallullathil and T. Carrington, J. Chem. Phys. 155, 234105 (2021)] in conjunction with a contraction tree to compute
Sangeeth Das Kallullathil, T. Carrington
semanticscholar +1 more source
Decompositions of tensor products of contractions [PDF]
Annales Polonici Mathematici, 1988 Let G be an additive subgroup of real numbers, and \(G_+=\{t\in G:t\geq 0\}\). Let \(\{T_ 1(t)\}_{t\in G_+}\) and \(\{T_ 2(t)\}_{t\in G_+}\) be two semigroups of contractions on a Hilbert space. The author proves that the unitary part of the semigroup \(\{T_ 1(t)\otimes T_ 2(t)\}\) equals to the tensor product of the unitary parts of \(\{T_ 1(t ...
openaire +2 more sources
Simulating Quantum Computation by Contracting Tensor Networks [PDF]
SIAM Journal on Computing, 2008 7 ...
Markov, Igor L., Shi, Yaoyun
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Grassmann higher-order tensor renormalization group approach for two-dimensional strong-coupling QCD
Nuclear Physics B, 2023 We present a tensor-network approach for two-dimensional strong-coupling QCD with staggered quarks at nonzero chemical potential. After integrating out the gauge fields at infinite coupling, the partition function can be written as a full contraction of ...
Jacques Bloch, Robert Lohmayer
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
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