Breaking: Trump says 'effective immediately' US will blockade ships from Strait of Hormuz 7 medications that don’t mix well with coffee, according to a pharmacist A super El Niño is possible later ...

ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...

Abstract: Simpler generalized minimal residual (SGMRES) is a classic variant of the regular generalized minimal residual (GMRES) method that does not require upper Hessenberg factorization, which is ...

Despite major therapeutic advances, breast cancer remains prone to recurrence, particularly in patients with early-stage disease who appear disease-free after treatment. Follow-up care still relies ...

Matrices are used to represent problems across various domains such as physics, computational chemistry, and engineering. Therefore, the efficient computation of matrix functions is generally critical ...

Please provide your email address to receive an email when new articles are posted on . In this video, Leo I. Gordon, MD, FACP, discusses how a deeper understanding of minimal residual disease may ...

A new technical paper titled “DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design” was published by researchers at Intel Corporation, ...

Simulating neutronics and thermal hydraulics within nuclear reactor cores is computationally intensive, not only because of the complexity of the governing equations but also because of the intricate ...

In this talk, Dr. John N. Shadid will present a scalable multiphysics block preconditioner for an implicit low Mach number compressible resistive magnetohydrodynamics (MHD) formulation based on a ...

ctDNA detection has advanced, allowing identification of minimal residual disease and predicting cancer recurrence with high sensitivity. Liquid biopsies offer a minimally invasive method to analyze ...