Results 121 to 130 of about 822,451 (292)
Decoding Carbon Dot Purity by Nuclear Magnetic Resonance
Angewandte Chemie, EarlyView.NMR spectroscopy tracks the removal of molecular and oligomeric impurities in carbon dots, enabling a (semi)quantitative evaluation of their purity through integrated peak analysis. ABSTRACT Carbon dots (CDs) have attracted increasing attention in recent years and have been widely explored in many fields.
Yalei Hu, Alberto Bianco
wiley +2 more sources
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
Advanced Intelligent Systems, EarlyView.This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
Controlling halo-chaos via wavelet-based feedback
Discrete Dynamics in Nature and Society, 2002 Halo-chaos in high-current accelerator has become one of the key issues because it can cause excessive radioactivity from the accelerators and significantly limits the applications of the new accelerators in industrial and other fields.
Jin-Qing Fang, Guanrong Chen, Geng Zhao
doaj +1 more source
Controlling Dynamical Systems Into Unseen Target States Using Machine Learning
Advanced Intelligent Systems, EarlyView.Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr +2 more
wiley +1 more source
, 2017 In this paper, we develop a numerical approach based on Chaos expansions to analyze the sensitivity and the propagation of epistemic uncertainty through a queueing systems with breakdowns.
Abbas, Karim +3 more
core
Frontiers in PhysicsThis study examines the stochastic bifurcation phenomenon in a fractional and multistable Rayleigh–Duffing oscillator subjected to recycling noise excitation.
Ya-Jie Li +6 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, EarlyView.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Educating for the Future in the Age of Obsolescence
Cadmus, 2020 The anthropological transformation we are undergoing shows the urgency of rethinking teaching and training, underlining the substantial inadequacy of our schools and universities in dealing with hypercomplexity, with the global extension of all ...
Piero Dominici
doaj
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
Advanced Intelligent Systems, EarlyView.This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source