In this paper we advance a stiff solution dynamics [SSD] model to study the regulation of local chemistry near a corroding metal by reaction and diffusion processes in the electrolyte. Using this model we compute the detailed space-time dynamics of t...
Nov 7, 2021 · Brittle is characterized by sudden failure without fore-warning as exhibited by the more flexible material. I think "stiff is a better word to describe a "strong" but brittle material. The design of …
Nov 7, 2021 · Brittle is characterized by sudden failure without fore-warning as exhibited by the more flexible material. I think "stiff is a better word to describe a "strong" but brittle material. The design of …
Neural Ordinary Differential Equations (ODE) are a promising approach to learn dynamic models from time-series data in science and engineering applications. This work aims at learning Neural ODE for stiff systems, which are usually raised from chemic...
67f, TRKR February 12th, reasonably fit & active. I thought I knew what it was like to feel stiff, but now there is a whole new dimension to that word. Not complaining - it's way better than the s...
A person who is said to have a stiff upper lip displays fortitude in the face of adversity, or exercises great self-restraint in the expression of emotion
Recently developed physics-informed neural network (PINN) has achieved success in many science and engineering disciplines by encoding physics laws into the loss functions of the neural network, such that the network not only conforms to the measurem...
In the present work, we study the quantum cosmology description of a Friedmann-Robertson-Walker model in the presence of a stiff matter perfect fluid and a negative cosmological constant. We work in the Schutz's variational formalism and the spatial...
We describe size-varying cylindrical particles made from silicone elastomers that can serve as building blocks for robotic granular materials. The particle size variation, which is achieved by inflation, gives rise to changes in stiffness under compr...
"Stiff" differential equations are commonplace in engineering and dynamical systems. To solve them we need flexible integrators that can deal with rapidly-changing righthand sides. This tutorial describes the application of "adaptive" [ variable time...