Results 221 to 230 of about 1,045,743 (273)
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
Advanced Functional Materials, EarlyView.This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source
Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers
Advanced Functional Materials, EarlyView.A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley +1 more source
DNA‐Origami‐Assembled Rhodium Nanoantennas for Deep‐UV Label‐Free Single‐Protein Detection
Advanced Functional Materials, EarlyView.Deep‐UV autofluorescence of single proteins in DNA origami‐based rhodium nanoantennas. Precisely positioned within the plasmonic nanogap, proteins retain their native state while their intrinsic emission is strongly amplified, enabling label‐free single‐molecule detection and opening new opportunities for highly sensitive and specific biosensing ...
Nicco Corduri +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.With a charge‐ion coupling engineering strategy, a K+/vacancy disordered K0.5Mn0.8Co0.1Ti0.1O2 material has been designed. The targeted transition metal doping disrupts charge ordering and inducing K+/vacancy disordering, thereby enabling rapid K+ diffusion through interconnected channels and a stable solid‐solution reaction mechanism.
Yongfeng Jia +10 more
wiley +1 more source
Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries
Advanced Functional Materials, EarlyView.Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai +6 more
wiley +1 more source
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2020
In Chapter 3, we learned that certain types of matrices, which are referred to as positive semidefinite matrices, can be expressed in the following form: $$\displaystyle A= V \varDelta V^T $$ Here, V is a d × d matrix with orthonormal columns, and Δ is a d × d diagonal matrix with nonnegative eigenvalues of A. The orthogonal matrix V can also be
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In Chapter 3, we learned that certain types of matrices, which are referred to as positive semidefinite matrices, can be expressed in the following form: $$\displaystyle A= V \varDelta V^T $$ Here, V is a d × d matrix with orthonormal columns, and Δ is a d × d diagonal matrix with nonnegative eigenvalues of A. The orthogonal matrix V can also be
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SIAM Journal on Control and Optimization, 2009
We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
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We give a necessary and sufficient condition for the existence of a matrix $F$ such that the singular values of $A+BF$ are the prescribed values. We also give a simple algorithm to compute $F$ if the prescribed values satisfy the condition.
Clyde F. Martin, Xiaochang A. Wang
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2018
In Chap. 4 we learned how to diagonalize a square matrix using the Eigen decomposition. Eigen decomposition has many uses, but it has a limitation: it can only be applied to a square matrix. In this chapter, we will learn how to extend the decomposition to a rectangular matrix using a related method known as a Singular Value Decomposition (SVD ...
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In Chap. 4 we learned how to diagonalize a square matrix using the Eigen decomposition. Eigen decomposition has many uses, but it has a limitation: it can only be applied to a square matrix. In this chapter, we will learn how to extend the decomposition to a rectangular matrix using a related method known as a Singular Value Decomposition (SVD ...
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Nonlinear singular value decomposition
2017Linear functions are widely used and well-understood. For example, to solve f(x) = 0 or f(x) = λx, with linear f, we can rely on matrix decompositions (singular value decomposition (SVD), eigenvalue decomposition (EVD), etc.). On the other hand, having nonlinear multivariate vector functions (multiple input-multiple output static nonlinearities), it is
Ishteva, Mariya Kamenova +1 more
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