Results 51 to 60 of about 36,515 (306)

”New Connections between dynamical systems and Hamiltonian PDEs” [PDF]

open access: yes, 2010
This is a course of 8 hours on Hamiltonian PDEs: main examples, Nash-Moser IFT, tame estimates of the inverse linearzied operator, application to NLS and ...
BERTI, MASSIMILIANO
core  

High-resolution method for numerically solving PDEs in process engineering [PDF]

open access: yes, 2008
Abrupt phenomena in modelling real-world systems indicate the\ud importance of investigating systems with deep gradients. However,\ud it is difficult to solve such systems either analytically or\ud numerically.
Zhang, Tonghua   +5 more
core   +1 more source

PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs

open access: yesCoRR
While recent AI-for-math has made strides in pure mathematics, areas of applied mathematics, particularly PDEs, remain underexplored despite their significant real-world applications. We present PDE-Controller, a framework that enables large language models (LLMs) to control systems governed by partial differential equations (PDEs).
Mauricio Soroco   +5 more
openaire   +3 more sources

Embedded Ferroelectric Nanoclusters Can Drive Polarization Reversal in a Non‐Ferroelectric Polar Film via the Proximity Effect

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric nanoclusters create local internal fields in a normally non‐switchable polar film because of polarization mismatch at their interfaces. That field opposes polarization in the regions with larger polarization and reinforces polarization in the regions with smaller polarization.
Anna N. Morozovska   +5 more
wiley   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

open access: yesAdvanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia   +3 more
wiley   +1 more source

Portopulmonary hypertension practice patterns after liver transplantation

open access: yesLiver Transplantation, EarlyView., 2022
Abstract Portopulmonary hypertension (POPH) is a type of pulmonary arterial hypertension occurring exclusively in those with portal hypertensive liver disease. Liver transplantation (LT) can significantly improve outcomes. Current guidelines counsel against immediate adjustments to targeted therapy after LT and suggest routine echocardiography as ...
Arun Jose   +3 more
wiley   +1 more source

Hamiltonian PDEs: new connections between dynamical systems and PDEs with small divisors phenomena [PDF]

open access: yes, 2008
Many partial differential equations arising in physics can be seen as infinite dimensional Hamiltonian systems. Main examples are the nonlinear wave equation, the nonlinear Schrödinger equation, the beam, the membrane and the Kirkhoff equations in ...
BERTI, MASSIMILIANO
core  

Numerical framework and stability analysis of the Gray-Scott model

open access: yesOpen Computer Science
Turing models of pattern formation provide insight into an intriguing question in developmental biology, like how nature exhibits various structures, shapes, and organized patterns. These natural patterns include the pattern and texture on a desert dune,
Ali Ramzan, Ahmed Attique
doaj   +1 more source

Theoretical and numerical studies of the blow-up of a degenerate nonlinear reaction–diffusion problem with source terms

open access: yesApplied Mathematics in Science and Engineering
In this paper, we focus on the phenomenon of blow-up of solutions for semilinear and degenerate (time-derivative) parabolic equation systems with additional source terms.
Bariza Sidhoum   +4 more
doaj   +1 more source

LE-PDE++: Mamba for accelerating PDEs Simulations

open access: yesCoRR
Partial Differential Equations are foundational in modeling science and natural systems such as fluid dynamics and weather forecasting. The Latent Evolution of PDEs method is designed to address the computational intensity of classical and deep learning-based PDE solvers by proposing a scalable and efficient alternative.
Aoming Liang   +5 more
openaire   +2 more sources

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