AIMC Topic: Physical Phenomena

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High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network.

Physics in medicine and biology Jan 9, 2025
Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and treatment of vascular diseases remains challenging.. In this study, a physics-informed neural network (PINN) with a refined mapping capability was combi...
Ultrasonography Image Processing, Computer-Assisted Hemodynamics Time Factors Physics Physical Phenomena Rheology Blood Flow Velocity Humans Neural Networks, Computer Animals
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Effects of caudal fin stiffness on optimized forward swimming and turning maneuver in a robotic swimmer.

Bioinspiration & biomimetics Mar 14, 2024
In animal and robot swimmers of body and caudal fin (BCF) form, hydrodynamic thrust is mainly produced by their caudal fins, the stiffness of which has profound effects on both thrust and efficiency of swimming. Caudal fin stiffness also affects the ...
Animals Robotics Biomechanical Phenomena Animal Fins Swimming Robotic Surgical Procedures Physical Phenomena
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Magnetic robots make headway in medicine.

Science robotics Feb 28, 2024
Physical Phenomena Reaction Time Magnetic Phenomena Robotics
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Flamingo Jelly Fish search optimization-based routing with deep-learning enabled energy prediction in WSN data communication.

Network (Bristol, England) Feb 8, 2024
Nowadays, wireless sensor networks (WSN) have gained huge attention worldwide due to their wide applications in different domains. The limited amount of energy resources is considered as the main limitations of WSN, which generally affect the network...
Computer Communication Networks Wireless Technology Algorithms Deep Learning Physical Phenomena
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Lie-Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2024
An accurate data-based prediction of the long-term evolution of Hamiltonian systems requires a network that preserves the appropriate structure under each time step. Every Hamiltonian system contains two essential ingredients: the Poisson bracket and...
Neural Networks, Computer Physics Physical Phenomena
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A magnetic multi-layer soft robot for on-demand targeted adhesion.

Nature communications Jan 20, 2024
Magnetic soft robots have shown great potential for biomedical applications due to their high shape reconfigurability, motion agility, and multi-functionality in physiological environments. Magnetic soft robots with multi-layer structures can enhance...
Tissue Adhesions Computer Simulation Motion Humans Magnetic Phenomena Physical Phenomena Robotics
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Human robotic surgery with intraoperative tissue identification using rapid evaporation ionisation mass spectrometry.

Scientific reports Jan 10, 2024
Instantaneous, continuous, and reliable information on the molecular biology of surgical target tissue could significantly contribute to the precision, safety, and speed of the intervention. In this work, we introduced a methodology for chemical tiss...
Physical Phenomena Robotic Surgical Procedures Mass Spectrometry Robotics Humans Ceramides
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Tradeoff analysis between time cost and energy cost for fixed-time synchronization of discontinuous neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 9, 2024
This article focuses on the tradeoff analysis between time and energy costs for fixed-time synchronization (FXTS) of discontinuous neural networks (DNNs) with time-varying delays and mismatched parameters. First, a more comprehensive lemma is systema...
Time Factors Physical Phenomena Neural Networks, Computer Algorithms
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Using AI/ML to predict blending performance and process sensitivity for Continuous Direct Compression (CDC).

International journal of pharmaceutics Jan 6, 2024
Utilising three artificial intelligence (AI)/machine learning (ML) tools, this study explores the prediction of fill level in inclined linear blenders at steady state by mapping a wide range of bulk powder characteristics to processing parameters. Pr...
Artificial Intelligence Machine Learning Algorithms Physical Phenomena Neural Networks, Computer
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Programmable adhesion and morphing of protein hydrogels for underwater robots.

Nature communications Jan 3, 2024
Soft robots capable of efficiently implementing tasks in fluid-immersed environments hold great promise for diverse applications. However, it remains challenging to achieve robotization that relies on dynamic underwater adhesion and morphing capabili...
Hydrogels Infrared Rays Robotics Blood Substitutes Physical Phenomena Humans Tissue Adhesions Water
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