Results 111 to 120 of about 166,468,241 (292)
Existing soft pumps often require tradeoffs between performance and compatibility with soft robotic systems. The proposed trielectrode electrostatic soft pump addresses these limitations through an innovative driving mechanism. Its design, which includes a trielectrode configuration and the use of compliant materials, improves operational efficiency ...
Yangqiao Lin +10 more
wiley +1 more source
Online Alternating Direction Method of Multipliers for Online Composite Optimization [PDF]
In this paper, we investigate regrets of an online semi-proximal alternating direction method of multiplier (Online-spADMM) for solving online linearly constrained convex composite optimization problems. Under mild conditions, we establish ${\rm O}(\sqrt{
Wu, Jia +3 more
core +1 more source
In this paper, a new energy management method is proposed for residential consumers based on a distributed algorithm. Consumers could participate in demand response programs by managing their schedulable and deferrable loads as well as using of ...
S. G. M. Rokni +2 more
doaj
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Parallel Solutions of Model Predictive Control Using the Alternating Direction Method of Multipliers
In this work a parallel solution method for model predictive control is presented based on the alternating direction multiplier method. Our approach solves the overall problem by decomposing it along the time-axis into smaller subproblem.
Findeisen, R., Kögel, M.
core +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Numerical Simulation of Electrodialysis Desalination for Multicomponent Salt Lake Brine
ABSTRACT Electrodialysis (ED) technology is presently recognized as an effective approach for extracting lithium from salt lake brine. This study concentrates on modeling the ED desalination process applied to multicomponent salt lake brine and equivalent NaCl solutions.
Kang Li +8 more
wiley +1 more source
Efficient algorithm or 3-D thermal alternating-direction-implicit method
This paper presents a new efficient algorithm or 3-D thermal alternating-drection-implicit method. Douglas Gunn alternating-direction-implicit (DG-ADI) method is formulated into efficient ADI method with single operator and heat generation input on the ...
Tan, Eng Leong +3 more
core +1 more source
Abstract Tyrannosaurus is viewed as a model organism in vertebrate paleontology, with numerous studies analyzing its feeding biomechanics. Nonetheless, the evolution of this feeding performance has been under‐addressed in Tyrannosauroidea, especially in basal tyrannosauroids. Here we used muscle‐force reconstruction and finite element analysis (FEA) to
Evan Johnson‐Ransom +4 more
wiley +1 more source
Predictors of Change in Severity of Self‐Injurious Behaviors in Preschool‐Aged Autistic Children
ABSTRACT Self‐injurious behaviors (SIBs) affect up to 50% of autistic individuals and significantly impact quality of life and everyday functioning. Cross‐sectional studies link the presence of SIB to lower IQ, altered sensory responsivity, and poor emotion regulation, yet their effect on changes in SIB severity from early childhood to school age in ...
Joseph Boyle +9 more
wiley +1 more source

