Testimonials

Randomly chosen testimonials:

Seeding Molecular Dynamics and Monte Carlo Simulations

I write and use molecular dynamics and Monte Carlo simulators which have their own pseudo-random number generators (for portability and reproducibility). These require the user to input a random number seed. If I want to perform an ensemble of N statistically independent runs (e.g., with different initial conditions), I need N independent seeds. So I use your site to generate seeds to paste into my input script, i.e., your random generator generates random seeds for input to a pseudo-random generator. Say that 5 times fast.

—Steve Plimpton, Sandia National Labs

Simulation Data Generation R Integer Generator 2008

Simulating the Beta Decay of Nuclei

I used your random number page to get truly random numbers between 0–99 in order to study the Monte Carlo method for arithmetic solution of problems and to simulate the beta decay of nuclei. Thanks a lot, it saved me the trouble of having to input into MS Excel, 500 numbers, which were pseudo-random, anyway.

—Yannis Thomopoulos, Department of Physics, University of Athens

Research Simulation R Integer Generator 2001

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Testimonials

Seeding Molecular Dynamics and Monte Carlo Simulations

Simulating the Beta Decay of Nuclei