Results 141 to 150 of about 34,283 (310)

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Some Experiments on Fitting of Gielis Curves by Simulated Annealing and Particle Swarm Methods of Global Optimization

open access: yes
In this paper an attempt has been made to fit the Gielis curves (modified by various functions) to simulated data. The estimation has been done by two methods - the Classical Simulated Annealing (CSA) and the Particle Swarm (PS) methods - of global ...
Mishra, SK
core  

Field‐Frustrated Cooperative Distortions: Suppressing Jahn‐Teller Ordering via Microwave Annealing

open access: yesAdvanced Science, EarlyView.
Microwave annealing decouples local Jahn‐Teller distortions from long‐range cooperative ordering in CuFe2O4, stabilizing a metastable cubic phase that remains locally distorted yet globally symmetry‐frustrated. Synchrotron XRD, PDF, XPS, and in situ thermal cycling reveal how non‐equilibrium MW‐phonon interactions suppress cooperative orbital‐lattice ...
Daryoosh Vashaee, Kelvin Dsouza
wiley   +1 more source

Constructing multiple unique input/output sequences using metaheuristic optimisation techniques

open access: yes, 2005
Multiple unique input/output sequences (UIOs) are often used to generate robust and compact test sequences in finite state machine (FSM) based testing. However, computing UIOs is NP-hard.
Harman, Mark   +7 more
core   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

open access: yesAdvanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi   +4 more
wiley   +1 more source

Robust Designs For Binary Data: Applications Of Simulated Annealing

open access: yes, 2008
When the aim of an experiment is the estimation of a Generalised Linear Model (GLM), standard designsfrom linear model theory may prove inadequate. This paper describes a flexible approach for findingdesigns for experiments to estimate GLMs through the ...
Woods, D. C.
core  

Scheduling fixtures for basketball New Zealand [PDF]

open access: yes, 2003
This paper describes the problem faced every year by Basketball New Zealand in scheduling the National Basketball League fixtures. This is a combinatorial optimization problem with few constraints but many objectives, which are described in detail.
Wright, M B
core  

An application of simulated annealing to the optimum design of reinforced concrete retaining structures

open access: yes, 2001
This paper reports on the application of a simulated annealing algorithm to the minimum cost design of reinforced concrete retaining structures.
Baines, R.W.   +4 more
core   +1 more source

Facile Fabrication of Low‐Impedance, Highly Conformal Epidermal Electrodes Based on Laser‐Induced Graphene–Silver Nanocomposites

open access: yesAdvanced Science, EarlyView.
A facile laser‐induced graphene–silver nanocomposite strategy enables ultrathin epidermal electrodes with low impedance, high conductivity, and excellent mechanical robustness. The porous LIG–Ag conductive network mechanically interlocked with SEBS provides stable, motion‐resistant biopotential monitoring, enabling high‐fidelity ECG, EMG, and EEG ...
Jiuqiang Li   +6 more
wiley   +1 more source

Combinatorial optimisation of a large, constrained simulation model: an application of compressed annealing

open access: yes
Simulation models are valuable tools in the analysis of complex, highly constrained economic systems unsuitable for solution by mathematical programming.
Pannell, David J., Doole, Graeme J.
core  

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