Results 121 to 130 of about 9,582 (250)

Exploring the Strengths and Limitations of Polymer Chemistry Informed Neural Networks

Macromolecular Reaction Engineering, EarlyView.
PCINNs are able to reach high levels of predictive performance utilizing imperfect kinetic models and a relatively small dataset, with reliable extrapolation at reaction temperatures significantly beyond the range of the original dataset. ABSTRACT Kinetic models are essential tools for providing a fundamental understanding of polymerization processes ...
Shaghayegh Hamzehlou, Nicholas Ballard, José M. Asua   +2 more
wiley   +1 more source

Linear Mechatronic Modeling of Rectangular Tank Sloshing Dynamics

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Sloshing dynamics in partially filled tanks can strongly influence system‐level behavior when fluid motion couples with rigid‐body dynamics. This paper presents a linear and acausal two‐dimensional sloshing model for rectangular tanks, based on the reformulation of established sloshing theory within a modular, multi‐domain modeling framework ...
Magnus Steinstø, Eilif Pedersen
wiley   +1 more source

Enhanced Control Strategies for Residual‐Vibration Suppression and Adaptive Tracking in Flexible Manipulator Under Unknown Bounded Disturbances

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper proposes a hybrid control strategy for flexible‐link manipulators that combines offline trajectory planning with adaptive tracking to suppress residual elastic vibration (REV) under unknown bounded disturbances. A rigid–flexible coupling dynamics model is first established using the floating‐frame method and Lagrange's equations ...
Mingming Shi, Bao Rong, Xiaoting Rui, Guoping Wang, Xiaoli Dong, Xin Zhao   +5 more
wiley   +1 more source

Nordgren PINNs to VQE: Advancing Hydraulic Fracturing Simulations in Shale Reservoirs

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT This study advances hydraulic fracturing simulations in shale reservoirs using two computational paradigms, Physics‐Informed Neural Networks (PINNs) and the Variational Quantum Eigensolver (VQE). PINNs were employed to solve Nordgren's equation, which governs fracture width evolution, by embedding physical laws into the neural network ...
Dennis Delali Kwesi Wayo, Sonny Irawan, Mohd Zulkifli Bin Mohamad Noor, Mudasar Zafar, Shynar Juziyeva, Camila Martins Saporetti, Leonardo Goliatt, Randy Hazlett   +7 more
wiley   +1 more source

Translating Machine Learning Into Manufacturing Expertise—Actionable Interpretability and Stability for Precision Injection Molding

Polymer Engineering &Science, EarlyView.
This research aims to enhance confidence in using AI/ML models and address unpredicted defects occurred during injection molding (IM) through guided machine fine‐tuning. Integrated stability analysis and parallel coordinate visualization coupled with perturbation analysis are presented to augment domain‐specific XAI applications in the IM industry ...
Chung‐Yin Lin, Jinsu Gim, Andrea Pieressa, Demitri Shotwell, Kris Sankaran, Giovanni Lucchetta, Lih‐Sheng Turng   +6 more
wiley   +1 more source

Structure and Dynamics of Ultra‐Low‐Crosslinked Microgels

Journal of Polymer Science, EarlyView.
This study reveals the relationship between microgel internal architecture, zero‐shear viscosity, structural relaxation time, and the ability of ultra‐soft colloidal suspensions to remain viscous fluids under overcrowded conditions. This interplay between microgel compressibility and zero‐shear viscosity is further highlighted by a colloid‐polymer ...
Nikolaos A. Burger, Alexander V. Petrunin, Ann E. Terry, Ralf Schweins, Andrea Scotti   +4 more
wiley   +1 more source

Advanced soliton structures and elliptic wave patterns in a sixth-order nonlinear Schrödinger equation using improved modified extended tanh function method. [PDF]

Sci Rep
Fahim MM, Ahmed HM, Dib KA, Samir I.
europepmc   +1 more source

AWSD Reactive Burn Model for the HMX‐Based High Explosive LX‐04

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT An Arrhenius–Wescott–Stewart–Davis (AWSD) reactive burn model is applied to describe shock initiation and detonation properties of the HMX‐based high explosive LX‐04. The parameters in the model are calibrated to data from multiple sources. The thermodynamic equations of state used in the model are calibrated to a combination of thermochemical
Galen T. Craven, Joshua Finkelstein, Kirill A. Velizhanin, Stephen A. Andrews, Jeffery A. Leiding, Tariq D. Aslam, Matthew A. Price, Christopher Ticknor   +7 more
wiley   +1 more source

Linear stability and dispersive soliton propagation in nonlinear media subject to parabolic phase modulation. [PDF]

Sci Rep
Morgan M, Ahmed HM, Sayed M, Soliman M.
europepmc   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source