Childs has been recognised for his contributions to quantum simulation and Hamiltonian dynamics. His work has focused on developing fast quantum algorithms for simulating Hamiltonian dynamics, which ...

Using a relatively young theory, a team of mathematicians has started to answer questions whose roots lie at the very ...

This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...

This study, conducted by Song Zhuoqing, Sun Peng, Yuan Huizhu from ByteDance Seed Lab, and Professor Gu Quanquan from the University of California, Los Angeles, addresses a core problem that has ...

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...

Abstract: The Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm that was developed in 2019. It is one of the metaheuristic algorithms that has been used by researchers to solve ...

The enlightened truth of the role of fire in human evolution. Illustration by Paul Garland The next time you find yourself lost in thought while gazing at a fireplace ablaze or even a solitary candle ...

You can define macros and ⚠ MANUALLY update by executing umath.preview.reloadMacros (Ultra Math Preview: Reload Macros). "Automatically updating macros" has been disabled, because it can affect ...

For the first part of the project, I created a python code that generates a LUT table of function x^2 - x^3 for x in range (0, 1) and the table has 256 sluts which means we only need 8-bits so we ...