STEM / applied
Computational physics · Graduate · Physics
Topics
High-performance computing
- MPI domain decomposition
- OpenMP and hybrid parallelism
- GPU kernels for stencil and FFT workloads
- I/O at scale: HDF5 and parallel filesystems
- Job scheduling on clusters and clouds
Machine learning interfaces
- Neural network potentials for MD
- Surrogate models for expensive solvers
- Physics-informed neural networks cautions
- Automated experiment design with BO
- Ethics of ML in scientific inference
Research software
- Contributing to open-source physics codes
- Software citation and credit norms
- Pair programming in theory–computation teams
- Performance profiling with vendor tools
- Publishing simulation supplements
What each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Advanced numerics
Spectral methods and FFT-based solvers
Coming soon - Physics simulations
Density functional theory pipelines
Coming soon - Validation and analysis
Convergence studies and grid independence
Coming soon - High-performance computing
MPI domain decomposition
Coming soon - Machine learning interfaces
Neural network potentials for MD
Coming soon - Research software
Contributing to open-source physics codes
Coming soon
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Computational physics · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.