Nanyang Technological University, Singapore (NTU Singapore) scientists have used a classic optical phenomenon known as the Poisson spot to create stable patterns of light called optical skyrmions, ...

The analysis in this article does not use actual data obtained directly from note. I have used simulation data (n=500) generated in Python based on parameters set by the author using prior research ...

1 Department of Mathematics, University of Labe (UL), Labe, Guinea Conakry. 2 Department of Mathematics and Computer Science, University of Cheikh. A. Diop, Dakar, Senegal. 3 West African Institute of ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

Operational risk modelling is a critical practice in financial institutions to quantify potential losses from internal processes, human errors, systems failures, or external events. One effective ...

Particle flow code (PFC) is a typical discrete element method (DEM) that is commonly used to simulate the mechanical behaviour of granular materials. However, the micro-parameters should be calibrated ...

The Poisson Distribution is a discrete probability distribution that models the number of events occurring within a fixed interval of time or space, provided these events happen independently and at a ...

jaxsp is a python library for constructing analytical wave function approximations to the steady-state Schroedinger-Poisson equation (SP) in spherical symmetry. The resulting wave function is a cheap, ...

Integration of information across heterogeneous sources creates added scientific value. Interoperability of data, tools and models is, however, difficult to accomplish across spatial and temporal ...

One of the fundamental goals in neuroscience is to determine how the brain processes information and ultimately controls the execution of complex behaviors. Over the past four decades, there has been ...