IEEE

Neural Ordinary Differential Equation Models of Circuits: Capabilities and Pitfalls

Abstract: This work advances the application of neural ordinary differential equations (ODEs) to circuit modeling. Prior works primarily utilized the recurrent neural network (RNN), which is a ...
IEEE

Analysis and synthesis of a class of neural networks: linear systems operating on a closed ...

Abstract: An investigation was conducted of the qualitative properties of a class of neural networks described by a system of first-order linear ordinary differential equations which are defined on a ...
The University of Chicago Chronicle

The first nuclear reactor, explained

In 1942, the Manhattan Project needed to create a chain reaction—a crucial step toward proving that it would be possible to make an atomic bomb. The scientists achieved this sustained nuclear reaction ...
Investopedia

The Most Notable Oligopolies in the U.S.

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...