i am an aspiring physicist connecting dots between mathematics, machines, and the mind. this blog is a collection of those dots.
outlining my self-study of physics-informed neural networks (PINNs), a method at the intersection of physics and machine learning for analyzing partial differential equations. read more →
A proof outlining the strictly increasing behavior of a fundamental sequence encountered in undergraduate real analysis.
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