Results 51 to 60 of about 8,126 (293)
Relative distances from inflorescence attraction basin.
, 2013 Probability distributions (in percentages) of the relative distances separating configurations of the inflorescence attraction basin from configurations of other attraction basins.
Eric Goles (362685) +4 more
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Advanced Science, EarlyView.Schematic illustration of a tumor microenvironment‐responsive nanoreactor for imaging‐guided induction of disulfidptosis in pancreatic cancer via metabolic interference and redox catalysis. (A) Stepwise fabrication of Pht@HMnO2‐HA, including MnO2 growth on a SiO2 template, template removal to form hollow mesoporous MnO2, Pht loading, and subsequent ...
Rui Fu +10 more
wiley +1 more source
The Optimal Order Newton’s Like Methods with Dynamics
Mathematics, 2021 In this paper, we have obtained three optimal order Newton’s like methods of order four, eight, and sixteen for solving nonlinear algebraic equations. The convergence analysis of all the optimal order methods is discussed separately.
Manoj Kumar Singh, Arvind K. Singh
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Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Shaping attraction basins in neural networks [PDF]
Neural Networks, 1990 Abstract An interesting duality between two formally related schemes for neural associative memory is exploited to shape the attraction basins of stored memories. Considered are a family of spectral algorithms—based on specifying the spectrum of the matrix of weights as a function of the memories to be stored—and a class of dual spectral algorithms ...
Santosh S. Venkatesh +3 more
openaire +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Generating Root-Finder Iterative Methods of Second Order: Convergence and Stability
Axioms, 2019 In this paper, a simple family of one-point iterative schemes for approximating the solutions of nonlinear equations, by using the procedure of weight functions, is derived. The convergence analysis is presented, showing the sufficient conditions for the
Francisco I. Chicharro +3 more
doaj +1 more source
The attraction basin in the generalized Kapitsa’s problem
, 2019 The attraction basin of a stable vertical position of rod under vertical vibration of the support in the Kapitsa’s problem and its generalizations is studied.
Kulizhnikov, Dmitriy B. +2 more
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Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
AIChE Journal, EarlyView.Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
On the stability of passive dynamic walker with flat foot and series ankle spring
Advances in Mechanical Engineering, 2018 In this study, the effects of a flat foot and series ankle spring on walking stability and efficiency are investigated with three passive dynamic walking models.
Jiawei He, Gexue Ren
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