Results 101 to 110 of about 1,442,152 (332)

A parameter uniform fitted mesh method for a weakly coupled system of two singularly perturbed convection-diffusion equations [PDF]

, 2018
In this paper, a boundary value problem for a singularly perturbed linear system of two second order ordinary differential equations of convection- diffusion type is considered on the interval [0, 1]. The components of the solution of this system exhibit
Kalaiselvan, Saravana Sankar, Miller, John J. H., Sigamani, Valarmathi   +2 more
core   +2 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Joint flood control operation of Upper Yangtze River based on dynamic weight of system safety degree

E3S Web of Conferences, 2018
At flood season, reservoir can guarantee the power generation and other benefit only under the premise of ensuring its own safety and the safety of middle and lower reaches of river basin.
Li Zhenghe, Kang Ling, Zhou Liwei, Hu Jie   +3 more
doaj   +1 more source

On atomistic-to-continuum couplings without ghost forces in three dimensions [PDF]

, 2012
In this paper we construct energy based numerical methods free of ghost forces in three dimen- sional lattices arising in crystalline materials. The analysis hinges on establishing a connection of the coupled system to conforming finite elements.
Makridakis, Charalambos, Mitsoudis, D.A., Rosakis, Phoebus   +2 more
core   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

The cost of simplification: Comparing surrogate electrolyser models in a MILP framework

Energy Conversion and Management: X
In this work, we investigate how various surrogate models representing an electrolyser’s production curve influence mixed-integer linear programming (MILP) optimisation outcomes.
David Fordham, Isabel Llamas-Jansa, Øystein Ulleberg   +2 more
doaj   +1 more source

Slow–fast n-dimensional piecewise linear differential systems

Journal of Differential Equations, 2016
The paper deals with the \(n\)-dimensional singularly perturbed differential slow-fast system \[ \begin{aligned}&\dot {\mathbf u}=\frac{d{\mathbf u}}{dt}=\varepsilon(A{\mathbf u}+{\mathbf a}v+{\mathbf b}),\\ &\dot v=\frac{dv}{dt}=u_1+|v|,\end{aligned} \] where \({\mathbf u}\in\mathbb{R}^{n-1}\) is the slow variable (\(n\geq 2\)), \(v\in\mathbb{R}\) is ...
R. Prohens, A.E. Teruel, C. Vich
openaire   +2 more sources

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Analysis of collision vibration in two-degree-of-freedom system without damping subjected to periodic excitation (Derivation of analytical solutions for 1/2nd order sub-harmonic resonance)

Nihon Kikai Gakkai ronbunshu, 2016
Collision vibration systems are usually modeled as a nonlinear spring whose characteristics are described by the broken line model. These systems are called piecewise-linear systems.
Tatsuhito AIHARA, Hiroyuki KUMANO
doaj   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source