Results 131 to 140 of about 3,570,033 (364)
An Efficient Algorithm for Inverting a Block-Symmetric Matrix [PDF]
S. Charmonman
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An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
On Elementary Symmetric Functions of the Roots of a Multivariate Matrix: Distributions [PDF]
Tito A. Mijares
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The side‐chain configuration in the bay region of C‐shaped ortho‐benzodipyrrole‐based non‐fullerene acceptors plays a crucial role in their self‐assembly, single‐crystal structures, and optoelectronic properties. The closely correlated molecular structure and performance underscore the importance of minimizing A–A self‐aggregation and enhancing D–A ...
Yung‐Jing Xue +18 more
wiley +1 more source
Silicon anodes in sulfide‐based all‐solid‐state batteries suffer from interfacial instability caused by volumetric fluctuations and contact degradation, restricting their practical implementation despite high capacity. This study presents design strategies that leverage controlled active material expansion and an elastic recoverable anolyte to form an ...
Youngjin Song +7 more
wiley +1 more source
An Efficient Scheme for the Co-diagonalization of a Symmetric Matrix by Givens' Method in a Computer with a Two-level Store [PDF]
J. S. Rollett
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Selective Membrane for Non‐Aqueous Electrochemical Flow Cells
Sulfonated fixed charge functionalization is increased to improve the conductivity of a cation exchange membrane in a non‐aqueous electrochemical cell. Based on ex situ analyses, the material achieved the highest selectivity for this type of system to date.
Charles R. Leroux +2 more
wiley +1 more source
On Path Laplacian Eigenvalues and Path Laplacian Energy of Graphs
We introduce the concept of Path Laplacian Matrix for a graph and explore the eigenvalues of this matrix. The eigenvalues of this matrix are called the path Laplacian eigenvalues of the graph.
Shridhar Chandrakant Patekar +1 more
doaj
The iterative method is presented for obtaining the centrally symmetric (centrally antisymmetric) matrix pair (X,Y) solutions of the generalized coupled Sylvester-conjugate matrix equations A1X+B1Y=D1X¯E1+F1, A2Y+B2X=D2Y¯E2+F2.
Yajun Xie, Changfeng Ma
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Algorithm 253: [F2]: Eigenvalues of real symmetric matrix by the QR method [PDF]
Peter A. Businger
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