An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...
This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...
On a recent Saturday, she is addressing a citizen assembly, a grassroots gathering seeking solutions to tough local challenges. Her audience consists of 30 ordinary Oregonians. They are acupuncturists ...
Her audience consists of 30 ordinary Oregonians. They are acupuncturists and elk hunters; house cleaners and retired riverboat pilots. None are public policy experts. All the same, these ...
These problems, called partial differential equations, are the backbone of engineering and science. But solving them can take days, even weeks, especially for complex shapes. Now, Johns Hopkins ...