a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
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Updated
Jun 25, 2020 - Jupyter Notebook
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
Code for the paper "Levelised cost of transmission comparison for green hydrogen and ammonia in new-build offshore energy infrastructure: Pipelines, tankers, and HVDC"
Water pollutant (Ammonia) Forecast of the Hertfordshire and North London area.
A shortcut method to calculate the chemical equilibrium of ammoni synthesis by neural networks.
Optimization problem to combust cotton gin waste to profitably produce electricity and ammonia. Uses hourly electricity prices over 12-years and iterates over 10,000 simulation years.
This is a project consisting of interactive pages about balancing chemical equations
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