Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

The recent news of the Hannah Montana 20th anniversary special delighted millennials who grew up loving Miley Cyrus as the blonde-haired pop star with a secret. Cyrus has kept the spirits high by ...

ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...

Exponential integrators represent an innovative class of numerical methods designed to address the challenges posed by stiff differential equations. By incorporating the matrix exponential to treat ...

Abstract: In this article, we propose a symplectic finite-difference time-domain (SFDTD) algorithm to model magnetically biased anisotropic graphene. The Dirac delta function is employed to represent ...

Is your feature request related to a problem? Please describe. I am currently investigating the numerical evaluation of matrix functions and I noticed that SciPy only ...

Genomic best linear unbiased prediction (GBLUP) is a key method in genomic prediction, relying on the construction of a genomic relationship matrix (G-matrix). Although various methods for G-matrix ...

Catharina Capitain and Melanie Schüßler from the Faculty of Geosciences at the University of Tübingen, Tübingen, Germany describe a novel approach using matrix-matched semiquantification to ...

ABSTRACT: The iteration of one-dimensional holomorphic functions allows a definition of conductivity plateaus and charge quanta which are related to nontrivial zeros of the Riemann zeta function and ...