I am Noah Parsons, an independent researcher in Newcastle, Wyoming, working across computational physics, systems software, and applied policy research.
I am in high school, completing an Associate of Science concurrently through dual enrollment at Eastern Wyoming College.
A domain-specific language and compiler for physical systems. You write a
Lagrangian or Hamiltonian in LaTeX-inspired syntax; the symbolic engine (built
on SymPy) derives the equations of motion automatically, and the compiler
generates simulation code in your choice of thirteen target languages. MIT
licensed, on PyPI as mechanicsdsl-core.
- mechanicsdsl — Core compiler. Write a Lagrangian, get a simulation. Thirteen code generation backends, built on SymPy.
- mechanicsdsl-datasets — Reference datasets for physics parameter estimation and inverse problem benchmarking.
- mechanicsdsl-embedded — Deploy MechanicsDSL simulations to Arduino, Raspberry Pi, and ARM edge devices. Optimized C++ and no_std Rust for real-time closed-loop control.
- mechanicsdsl-ros2 — Compile MechanicsDSL physical systems to ROS2 packages.
- mechanicsdsl-unity — Simulation components for Unity and Unreal Engine, compiled from MechanicsDSL notation.
- mechanicsdsl-notebooks — Jupyter notebooks demonstrating MechanicsDSL across the supported physics domains.
A small x86-64 operating system written from scratch. Custom bootloader, long-mode kernel, preemptive scheduler with mutex, semaphore, and condvar primitives, 4-level paging, FAT12 filesystem, and a compositing window manager. No GRUB, no Limine, no tutorial framework — every line original.
Analytical modeling of energy transfer and information flow in a boundary-driven nonequilibrium quantum spin chain. Writeup in preparation.
Parsons, N. (2025). Strategic Grid Modernization for Enhanced Energy Security and Industrial Competitiveness: A Multi-Pillar Framework for the United States. Applied Journal of Economics, Law and Governance, 1(2), 149–171. doi:10.57017/ajelg.v1.i2(2).03