SHOULD Analysis — Curvature-based methods to determine when reconciliation is beneficial. Analyse the local curvature of the constraint surface and the distribution of prediction errors to verify ...

Neuromorphic computing (NMC) seeks to emulate architectural and algorithmic features of the brain to achieve lower-power, higher-capability microelectronics and computing platforms. Despite this ...

When it comes to quant finance, few tasks evoke as much existential dread in quants as calculating sensitivities for the purposes of FRTB or XVA. These sensitivities that tell risk managers how jumpy ...

Abstract: This paper presents PyWaveProp, a library for wave propagation modeling, and highlights its application features in tropospheric radio wave propagation. The one-way Helmholtz equation method ...

Modeling strong shock waves in fluids remains a persistent challenge in computational physics. Essential to research efforts in industry and defense, numerous methods have been devised to improve the ...

Micromagnetic simulations are widely used in a range of applications, from magnetic storage technologies and the design of hard and soft magnetic materials, to the modern fields of magnonics, ...

Engineering at the nanoscale is rich and complex: researchers have designed small-scale structures ranging from smiley faces to intricate sensors. However, designing specific dynamical features within ...

In undergraduate physical chemistry, Schrödinger’s equation is solved for a variety of cases. In doing so, the energies and wave functions of the system can be interpreted to provide connections with ...

Electron energy-loss spectroscopy (EELS) is a unique tool that is extensively used to investigate the plasmonic response of metallic nanostructures. We present here a novel approach for EELS ...

The diffusion model is a commonly used tool to infer latent psychological processes underlying decision-making, and to link them to neural mechanisms based on response times. Although efficient open ...