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Name: Austin Keller
Type: User
Bio: Master of Science in Physics | I aim to use my background to further research-focused software applications in physics and computing.
Location: San Diego, California
Name: Austin Keller
Type: User
Bio: Master of Science in Physics | I aim to use my background to further research-focused software applications in physics and computing.
Location: San Diego, California
Explaining Git and GitHub.
This program accesses Google Maps "Directions API" to extract coordinate information of a path from one location to another.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It will read the data from the results of the 2016 Atomic Mass Experiment (AME) file. The program will use the binding energies in the file to find the theoretical parameters to fit into a constructed model.
This program provides a look into the application of neural networks to predict the mass excess for nuclei which have yet to be experimentally measured.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It takes an individual real number (chosen by the user) and calculates the numerical second derivative of f(x)= x*sin(x) using both the Symmetric Euler 3-point and Euler 5-point approximations.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It takes individual inputs (chosen by the user) and calculates the neutron flux using the Booles and Monte Carlo integration techniques.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It calculates numerically the orbital motion of two masses around a central mass using the 4th Order Runge-Kutta algorithm.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It solves Poisson's equation, in two dimensions.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It provides numerical and analytical solutions for the energies at a few different potentials. The infinite well, harmonic oscillator, and the Woods-Saxon potential.
This program was done as an assignment in my graduate Computational Physics course at San Diego State University. It solves the time-dependent Schrodinger equation within a box for two different scenarios, zero and harmonic_well potentials, using the Crank-Nicolson method.
This is small python project testing some common search algorithms.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.