We present a differentiation framework for plane-wave density-functional theory (DFT) that combines the strengths of forward-mode algorithmic differentiation (AD) and density-functional perturbation ...

The paper of this simulator can be found here: https://arxiv.org/abs/2511.09022. This is the upgraded version of my previous work RadHARSimulator V1: https://github ...

Typical quests in materials science, as for instance finding stable compositions of an alloy and its properties, or determining the conditions for molecular adsorption on a surface, involve ...

Abstract: This paper presents a motor imagery based Brain Computer Interface (BCI) that uses single channel EEG signal from the C3 or C4 electrode placed in the motor area of the head. Time frequency ...

The past decade has witnessed a significant increase in the number of radiopharmaceuticals approved for diagnostic and therapeutic use in humans. To receive such approval, these radiopharmaceuticals ...

Department of Computer Science, University of York, York, UK. Kolmogorov complexity is a unique formalisation of complexity which quantifies “information” from an algorithmic point of view [1] and has ...

FDM is a nonlinear and nonstationary signal representation, decomposition and analysis method. It uses the Fourier and filter theory based zero-phase filtering for the decomposition of a signal into a ...

Applicants normally will have a B.S. in electrical or computer engineering. However, admission may be granted to applicants with good training in other engineering or related fields, such as math, ...

Every measurement is corrupted due to random fluctuations in the sample and the apparatus. Current efficient denoising algorithms require large matrix analysis, and become untractable even for ...