Results 221 to 230 of about 6,454,505 (250)

Prediction of coal and gas outbursts based on physics informed neural networks and traditional machine learning models. [PDF]

Sci Rep
Wang L, Jia B, Su G.
europepmc   +1 more source

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

Advanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker, Jelle de Vries, Johannes T. B. overvelde   +2 more
wiley   +1 more source

Solving the Richards infiltration equation by coupling physics-informed neural networks with Hydrus-1D. [PDF]

Sci Rep
Li Y, Sun Q, Fu Y, Wei J.
europepmc   +1 more source

Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract

Advanced Robotics Research, EarlyView.
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis, Luis Carlos Sanjuan Acosta, Shubh P. Mehta, Baiyan Qi, Yang Yang, Luis Solorio, Craig J. Goergen, David J. Cappelleri   +7 more
wiley   +1 more source

Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]

Entropy (Basel)
Mortezanejad SAF, Wang R, Mohammad-Djafari A.   +2 more
europepmc   +1 more source

Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks. [PDF]

Tomography
Leontiou T, Frixou A, Charalambides M, Stiliaris E, Papanicolas CN, Nikolaidou S, Papadakis A.   +6 more
europepmc   +1 more source

[Prediction of hemodynamic parameters in pathological arterial vessels based on physics-informed neural networks]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Ji M, Sang J, Sun L, Zhang C, Zhong X, Li Y.   +5 more
europepmc   +1 more source

Physics-Informed Neural Networks for Depth-Dependent Constitutive Relationships of Gradient Nanostructured 316L Stainless Steel. [PDF]

Materials (Basel)
Li H, Cheng Y, Wang Z, Wang X.
europepmc   +1 more source

Response estimation and system identification of dynamical systems via physics-informed neural networks. [PDF]

Adv Model Simul Eng Sci
Haywood-Alexander M, Arcieri G, Kamariotis A, Chatzi E.   +3 more
europepmc   +1 more source

RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks. [PDF]

Bioinformatics
Muto O, Guo Z, Yamaguchi R.
europepmc   +1 more source