Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
Abstract: This paper proposes a novel subgridding technique based on the auxiliary differential equation finite-difference time-domain (ADE FDTD) method for accurate modeling and simulation of ...
Abstract: This paper investigates four discretization schemes-EAFE, FVSG, CVFEM-SG, and EFTFE-for solving the quantum drift-diffusion (QDD) model formulated using quasi-Fermi levels. A series of ...
This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...
Heat transfer is the physical act of thermal energy being exchanged between two systems by dissipating heat. Temperature and the flow of heat are the basic principles of heat transfer. The amount of ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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