Beam is one of the common structures in engineering, with the development of technology, homogeneous beams no longer meet the ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

These days, everybody cares about economic growth in China—as they should. Depending on how you measure it, China’s economy ...

F = ma One of the most fundamental equations in physics, Newton’s Second Law of Motion, was formulated by Sir Isaac Newton in 1687. It states that the force () acting on an object is equal to its mass ...

The West has fractured, and Putin knows it. By German Lopez For Ukraine, a peace deal with Russia is not just about stopping the war. A deal should also prevent the next one — by convincing ...

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 ...

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods ...

Chemistry, mathematics and physics are central to our understanding of nature. Physics explores the fundamental laws of mechanics, electromagnetism, quantum mechanics and relativity. Chemistry studies ...

When it comes to fixing your differential, there’s bad news and good news. The bad news is that differential replacements are expensive, often ranging from $2,500 to $6,000. The good news is ...

Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster.