AIMC Topic: Computer Simulation

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Physics-informed neural network for phase imaging based on transport of intensity equation.

Optics express Nov 21, 2022
Non-interferometric quantitative phase imaging based on Transport of Intensity Equation (TIE) has been widely used in bio-medical imaging. However, analytic TIE phase retrieval is prone to low-spatial frequency noise amplification, which is caused by...
Humans Neural Networks, Computer Computer Simulation Imaging, Three-Dimensional Lighting Physics
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Resonance prediction and inverse design of multi-core selective couplers based on neural networks.

Applied optics Nov 10, 2022
Resonance analysis and structural optimization of multi-channel selective fiber couplers currently rely on numerical simulation and manual trial and error, which is very repetitive and time consuming. To realize fast and accurate resonance analysis a...
Neural Networks, Computer Computer Simulation
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Polarized light compass decoding.

Applied optics Nov 1, 2022
The brains of some insects can encode and decode polarization information and obtain heading angle information. Referring to the encoding ability of insects, exponential function encoding is designed to improve the stability of the polarized light co...
Neural Networks, Computer Brain Computer Simulation
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A warm hug from a robot: A dual-mode e-skin with programming compliance.

The Review of scientific instruments Nov 1, 2022
Recent achievements in the field of electronic skin (e-skin) have provided promising technology for service robots. However, the development of a bionic perception system that exhibits superior performance in terms of safety and interaction quality r...
Humans Computer Simulation Male Wearable Electronic Devices Robotics Electrodes Touch
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Intelligent design of the chiral metasurfaces for flexible targets: combining a deep neural network with a policy proximal optimization algorithm.

Optics express Oct 24, 2022
Recently, deep reinforcement learning (DRL) for metasurface design has received increased attention for its excellent decision-making ability in complex problems. However, time-consuming numerical simulation has hindered the adoption of DRL-based des...
Neural Networks, Computer Algorithms Computer Simulation Policy
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Prediction of metasurface spectral response based on a deep neural network.

Optics letters Oct 1, 2022
The two-dimensional optical metasurface can realize the free regulation of light waves through the free design of structure, which is highly appreciated by researchers. As there are high requirements for computer hardware, long time for simulation ca...
Neural Networks, Computer Algorithms Computer Simulation
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Indirect learning and physically guided validation of interatomic potential models.

The Journal of chemical physics Sep 14, 2022
Machine learning (ML) based interatomic potentials are emerging tools for material simulations, but require a trade-off between accuracy and speed. Here, we show how one can use one ML potential model to train another: we use an accurate, but more co...
Machine Learning Computer Simulation Silicon
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A Deep Learning-Based Generalized Empirical Flow Model of Glottal Flow During Normal Phonation.

Journal of biomechanical engineering Sep 1, 2022
This paper proposes a deep learning-based generalized empirical flow model (EFM) that can provide a fast and accurate prediction of the glottal flow during normal phonation. The approach is based on the assumption that the vibration of the vocal fold...
Computer Simulation Deep Learning Models, Biological Vocal Cords Vibration Phonation Glottis
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Hierarchical multiloop MPC scheme for robot manipulators with nonlinear disturbance observer.

Mathematical biosciences and engineering : MBE Aug 29, 2022
This paper addresses the robust enhancement problem in the control of robot manipulators. A new hierarchical multiloop model predictive control (MPC) scheme is proposed by combining an inverse dynamics-based feedback linearization and a nonlinear dis...
Algorithms Computer Simulation Feedback Robotics Nonlinear Dynamics
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An improved ant colony algorithm for integrating global path planning and local obstacle avoidance for mobile robot in dynamic environment.

Mathematical biosciences and engineering : MBE Aug 25, 2022
To improve the path optimization effect and search efficiency of ant colony optimization (ACO), an improved ant colony algorithm is proposed. A collar path is generated based on the known environmental information to avoid the blindness search at ear...
Algorithms Computer Simulation Robotics Heuristics Pheromones
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