AIMC Topic: Elasticity

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Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed Problems.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 24, 2023
Elastography is a medical imaging technique used to measure the elasticity of tissues by comparing ultrasound signals before and after a light compression. The lateral resolution of ultrasound is much inferior to the axial resolution. Current elastog...
Deep Learning Physics Elastic Modulus Elasticity Phantoms, Imaging
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Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.

Neural networks : the official journal of the International Neural Network Society Mar 13, 2023
The paper presents an efficient and robust data-driven deep learning (DL) computational framework developed for linear continuum elasticity problems. The methodology is based on the fundamentals of the Physics Informed Neural Networks (PINNs). For an...
Physics Deep Learning Elasticity Neural Networks, Computer
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Optical force estimation for interactions between tool and soft tissues.

Scientific reports Jan 10, 2023
Robotic assistance in minimally invasive surgery offers numerous advantages for both patient and surgeon. However, the lack of force feedback in robotic surgery is a major limitation, and accurately estimating tool-tissue interaction forces remains a...
Humans Robotics Phantoms, Imaging Mechanical Phenomena Robotic Surgical Procedures Elasticity Imaging Techniques Elasticity Tomography, Optical Coherence
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Highly Integrated Multi-Material Fibers for Soft Robotics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Nov 22, 2022
Soft robots are envisioned as the next generation of safe biomedical devices in minimally invasive procedures. Yet, the difficulty of processing soft materials currently limits the size, aspect-ratio, manufacturing throughput, as well as, the design ...
Microfluidics Elasticity Robotics Motion
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Elasticity imaging using physics-informed neural networks: Spatial discovery of elastic modulus and Poisson's ratio.

Acta biomaterialia Nov 17, 2022
Elasticity imaging is a technique that discovers the spatial distribution of mechanical properties of tissue using deformation and force measurements under various loading conditions. Given the complexity of this discovery, most existing methods appr...
Elasticity Finite Element Analysis Diagnostic Imaging Stress, Mechanical Physics Elastic Modulus Humans Neural Networks, Computer
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Ultrasound Shear Wave Elasticity Imaging With Spatio-Temporal Deep Learning.

IEEE transactions on bio-medical engineering Oct 19, 2022
Ultrasound shear wave elasticity imaging is a valuable tool for quantifying the elastic properties of tissue. Typically, the shear wave velocity is derived and mapped to an elasticity value, which neglects information such as the shape of the propaga...
Elasticity Imaging Techniques Deep Learning Elasticity Phantoms, Imaging Gelatin
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Ultrafast small-scale soft electromagnetic robots.

Nature communications Aug 9, 2022
High-speed locomotion is an essential survival strategy for animals, allowing populating harsh and unpredictable environments. Bio-inspired soft robots equally benefit from versatile and ultrafast motion but require appropriate driving mechanisms and...
Animals Robotics Locomotion Electromagnetic Phenomena Swimming Elasticity
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Magnetohydrodynamic levitation for high-performance flexible pumps.

Proceedings of the National Academy of Sciences of the United States of America Jul 11, 2022
We use magnetohydrodynamic levitation as a means to create a soft, elastomeric, solenoid-driven pump (ESP). We present a theoretical framework and fabrication of a pump designed to address the unique challenges of soft robotics, maintaining pumping p...
Elasticity Viscosity Prosthesis Design Heart-Assist Devices Robotics
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Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

Science robotics Jun 15, 2022
Recent advances in artificial intelligence have enhanced the abilities of mobile robots in dealing with complex and dynamic scenarios. However, to enable computationally intensive algorithms to be executed locally in multitask robots with low latency...
Neural Networks, Computer Robotics Elasticity Artificial Intelligence Algorithms
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Predicting and understanding arterial elasticity from key microstructural features by bidirectional deep learning.

Acta biomaterialia May 25, 2022
Microstructural features and mechanical properties are closely related in all soft biological tissues. Both yet exhibit considerable inter-individual differences and are affected by factors such as aging and disease and its progression. Histological ...
Arteries Elasticity Animals Mice Extracellular Matrix Biomechanical Phenomena Deep Learning Collagen Stress, Mechanical
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