Results 21 to 30 of about 6,454,315 (251)
General implementation of quantum physics-informed neural networks
Recently, a novel type of Neural Network (NNs): the Physics-Informed Neural Networks (PINNs), was discovered to have many applications in computational physics.
Shashank Reddy Vadyala +1 more
doaj +1 more source
Bridging Physics and AI: The Power of Physics-Informed Neural Networks (PINNs) in Experimental ...
Kamran Mathias
core +1 more source
Physics-informed neural networks for voltage and SOC estimation
This work shows benefits of applying simple physics-informed methods to neural networks for battery electrical response ...
Forde, Andrew
core +1 more source
Physics-informed neural networks for hydraulic transient analysis in pipeline systems
Physics-informed neural networks for hydraulic transient analysis in pipeline ...
J Ye (8430171) +3 more
core
Harnessing the Potential of Physics-Informed Neural Networks (PINNs) in Vortex-Induced Vibration ...
Lee Mathias
core +1 more source
Physics Informed Neural Networks for Parametrized Partial Differential Equations
Physics Informed Neural Networks for Parametrized Partial Differential ...
Prieto Ruiz, Victor Scott
core
Exploring Vortex-Induced Vibration with Tunable Stiffness and Physics-Informed Neural Networks ...
Kevin Lee
core +1 more source
Physics-informed neural networks for inviscid transonic flows around an airfoil [PDF]
Physics-informed neural networks (PINNs) have gained popularity as a deep-learning-based parametric partial differential equation solver. Especially for engineering applications, this approach is promising because a single neural network (NN) could ...
Wassing, Simon +2 more
core +1 more source
Physics informed neural networks for 1D flood routing [PDF]
Machine learning methods have been widely and successfully applied in hydrological problems. Most of the methods, such as artificial neural networks, have been focused on estimating hydrological data based on observation over time.
Milašinović, Miloš +7 more
core +3 more sources
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source

