A physics-inspired alternative to spatial filtering for large-eddy simulations of turbulent flows
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2021.1150
Abstract: Abstract Large-eddy simulations (LES) are widely used for computing high Reynolds number turbulent flows. Spatial filtering theory for LES is not without its shortcomings, including how to define filtering for wall-bounded flows, commutation errors for… read more here.
Keywords: large eddy; turbulent flows; physics; spatial filtering ... See more keywords
Physics-inspired machine learning of localized intensive properties
Sign Up to like & getrecommendations! Published in 2023 at "Chemical Science"
DOI: 10.1039/d3sc00841j
Abstract: Machine learning (ML) has been widely applied to chemical property prediction, most prominently for the energies and forces in molecules and materials. The strong interest in predicting energies in particular has led to a ‘local… read more here.
Keywords: physics; machine learning; physics inspired; inspired machine ... See more keywords
Optimizing Optical Potentials With Physics-Inspired Learning Algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review Applied"
DOI: 10.1103/physrevapplied.19.044090
Abstract: We present our new experimental and theoretical framework which combines a broadband superluminescent diode (SLED/SLD) with fast learning algorithms to provide speed and accuracy improvements for the optimization of 1D optical dipole potentials, here generated… read more here.
Keywords: learning algorithms; physics; physics inspired; optimizing optical ... See more keywords
High-order-modulation large MIMO detector based on physics-inspired methods
Sign Up to like & getrecommendations! Published in 2025 at "Physical Review Applied"
DOI: 10.1103/zmgv-m2ql
Abstract: Applying quantum annealing or current quantum-/physics-inspired algorithms for MIMO detection always abandon the direct gray-coded bit-to-symbol mapping in order to obtain Ising form, leading to inconsistency errors. This often results in slow convergence rates and… read more here.
Keywords: mimo detector; physics inspired; high order; order ... See more keywords
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3192609
Abstract: Accurately modeling quadrotor's system dynamics is critical for guaranteeing agile, safe, and stable navigation. The model needs to capture the system behavior in multiple flight regimes and operating conditions, including those producing highly nonlinear effects… read more here.
Keywords: quadrotor; system; inspired temporal; physics ... See more keywords
Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.2300782
Abstract: Radiomap captures the geometrical distribution of radio frequency signal power. As an important tool to qualitatively and quantitatively describe radio propagation behavior and spectrum occupancy, radiomap has found broad applications in deployment and configuration of… read more here.
Keywords: radio propagation; physics inspired; radio; radiomap ... See more keywords
Optimizing Configuration Selection in Reconfigurable-Antenna MIMO Systems: Physics-Inspired Heuristic Solvers
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2024.3420768
Abstract: Reconfigurable antenna multiple-input multiple-output (MIMO) is a foundational technology for the continuing evolution of cellular systems, including upcoming 6G communication systems. In this paper, we address the problem of flexible/reconfigurable antenna configuration selection for point-to-point… read more here.
Keywords: configuration; configuration selection; physics inspired; reconfigurable antenna ... See more keywords
HDANet: Enhancing Underwater Salient Object Detection With Physics-Inspired Multimodal Joint Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3565579
Abstract: The underwater salient object detection (USOD) poses a significantly greater challenge than traditional terrestrial scenes due to both the complex image degradation and the absence of multimodal information in underwater environments. Existing image enhancement methods… read more here.
Keywords: underwater salient; object detection; hdanet; physics inspired ... See more keywords
Health Indicator Construction of High-Speed Rotating Bearings in Aerospace CMG Based on Physics-Inspired Machine-Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3208253
Abstract: Control moment gyro (CMG) is a critical component for attitude control of large spacecraft. To avoid its accidental failure caused by the performance degradation of high-speed rotating bearings, a metric, which is referred to as… read more here.
Keywords: high speed; cmg; physics; physics inspired ... See more keywords
Exploring Video Denoising in Thermal Infrared Imaging: Physics-Inspired Noise Generator, Dataset, and Model
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3390404
Abstract: We endeavor on a rarely explored task named thermal infrared video denoising. Perception in the thermal infrared significantly enhances the capabilities of machine vision. Nonetheless, noise in imaging systems is one of the factors that… read more here.
Keywords: video; dataset; thermal infrared; physics inspired ... See more keywords