West Ranch High School students Brandon Chang, Kent Gao, and Omkar Guha, coached by Tanja Brosche, participated in a Systemic ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Ivanova, Tsvetelina I. 2021. Dynamics of flows of a substance in a channel with a branch. Vol. 2321, Issue. , p. 030014.

Many physical phenomena – including heat transfer, fluid flow and electromagnetic wave propagation, to name just three – can be described using partial differential equations (PDEs). Apart from a few ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

The exact shape of the optimal glass depends on the radius of the glass base and the constant C, which is determined by the ...

“Wear the team uniform” is a metaphor. It is more than clothes.

The five NTT R&D presentations delivered at NeurIPS 2024 address a range of other vital topics in the field of neural networking, as indicated by the titles and areas covered by their related papers: ...

'ZDNET Recommends': What exactly does it mean? ZDNET's recommendations are based on many hours of testing, research, and comparison shopping. We gather data from the best available sources ...

The search for quantum gravity has gone on for 100 years, but it is not the only unification challenge in physics. Many of us ...

“Machine learning has been happening for around 10 years in astrophysics, but it’s still very hard to use ... modeling of mathematical equations called partial differential equations.

These projects encompass a diverse range of captivating topics, all of which are relevant to real world applications, including but not limited to: Simulation of Granular Flow and Growing Sand-piles ...