Results 131 to 140 of about 87,102,086 (248)
Inverse problems for semilinear elliptic PDE with a general nonlinearity a(x,u)$a(x,u)$
Abstract This article studies the inverse problem of recovering a nonlinearity in an elliptic equation Δu+a(x,u)=0$\Delta u + a(x,u) = 0$ from boundary measurements of solutions. Previous results based on first‐order linearization achieve this under a sign condition on ∂ua(x,u)$\partial _u a(x,u)$, and results based on higher order linearization ...
David Johansson +2 more
wiley +1 more source
ABSTRACT Incompressibility is commonly observed in the majority of hyperelastic materials, which are fundamental to a wide range of technical applications owing to their distinctive properties, particularly their flexibility, stretchability, and resilience.
Le Zhang +4 more
wiley +1 more source
Comparison theorems for weak solutions of nonlinear maximally sub-elliptic PDEs
We establish a comparison principle for viscosity subsolutions and supersolutions of a broad class of second-order quasilinear, maximally subelliptic PDEs on general manifolds. In fact, we prove the comparison theorem for a larger class of degenerate subelliptic PDEs.
openaire +2 more sources
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley +1 more source
UniNS is a hybrid neuro‐symbolic framework that simulates nanoscale swarms in tumor microenvironments by coupling mesoscopic hydrodynamics with structure‐regularized causal discovery. It reduces biochemical prediction errors by 27.3% and dynamically prevents spurious correlations, offering a scalable, thermodynamically consistent testbed for precision ...
Xinyuan Chen +3 more
wiley +1 more source
Finite Difference Approximation for Linear Stochastic Partial Differential Equations with Method of Lines [PDF]
A stochastic partial differential equation, or SPDE, describes the dynamics of a stochastic process defined on a space-time continuum. This paper provides a new method for solving SPDEs based on the method of lines (MOL).
McDonald, Stuart
core
This work presents a comprehensive computational investigation of magneto hydrodynamic mixed convection nanofluid flow over a stretching sheet by incorporating the coupled effects of velocity and thermal slip, suction, Brownian motion, thermophoresis, thermal radiation, viscous dissipation, and mixed convection. The study provides new insights into the
Mazhar Hussain +5 more
wiley +1 more source
Quantum algorithms for viscosity solutions to nonlinear Hamilton-Jacobi equations based on an entropy penalization method. [PDF]
Jin S, Liu N.
europepmc +1 more source
A Review of Probabilistic and Novel Approaches to Cost Assessment in CCUS Projects
ABSTRACT Although the renewable energy sector is making progress, there is still a long way to go before green energy can be fully utilized. In this context, Carbon Capture Utilization and Storage (CCUS) technologies can act as a temporary bridge between a high‐emission past and a low‐emission future.
Majid Mohajeri, Saman Azadbakht
wiley +1 more source

