Symmetry breaking-induced N-body electrodynamic forces in optical matter systems. [PDF]
Parker J +6 more
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A dual functional cathode is made by uniformly dispersing the cathode material (LiFePO4) into the polymer electrolyte poly(vinylidenfluorid‐co‐hexafluorpropylene):lithium bis(trifluoromethanesulfonyl)imide, resulting in a conformable lamella structure with embedded microspheres.
Taoran Li +7 more
wiley +1 more source
The CP2K Program Package Made Simple. [PDF]
Iannuzzi M +26 more
europepmc +1 more source
Preparation and Properties of Boron Modified Phenolic Resin for Automotive Friction Materials. [PDF]
Liu J +6 more
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Drug Search and Design Considering Cell Specificity of Chemically Induced Gene Expression Profiles for Disease-Associated Tissues. [PDF]
Yamanaka C +3 more
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Level set-based XFEM modelling of the multi-scale hygro-mechanical behaviour of oak wood using morphological input from μ CT. [PDF]
Livani MA +3 more
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A View on the Synthesis and Characterization of Porous Microspheres Containing Pyrrolidone Units. [PDF]
Maciejewska M.
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High-efficiency and environmentally friendly copper recovery from waste copper clad laminate and its pyrolysis behavior through a novel low-temperature rotary furnace process. [PDF]
Tian M, Zhang X.
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Online subspace learning and imputation by Tensor-Ring decomposition
Neural Networks, 2022This paper considers the completion problem of a partially observed high-order streaming data, which is cast as an online low-rank tensor completion problem. Though the online low-rank tensor completion problem has drawn lots of attention in recent years, most of them are designed based on the traditional decomposition method, such as CP and Tucker ...
Jinshi Yu, Tao Zou, Guoxu Zhou
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Adaptive Rank Selection for Tensor Ring Decomposition
IEEE Journal of Selected Topics in Signal Processing, 2021Optimal rank selection is an important issue in tensor decomposition problems, especially for Tensor Train (TT) and Tensor Ring (TR) (also known as Tensor Chain) decompositions. In this paper, a new rank selection method for TR decomposition has been proposed for automatically finding near-optimal TR ranks, which result in a lower storage cost ...
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