High school students (grades 9–12)
Curious about physics, chemistry, materials, and computing, and ready to move beyond textbook exercises and contest math into authentic scientific exploration.
Private 1-on-1 Research Mentorship
Mentored research in computational materials science
Work 1-on-1 with a researcher to build, simulate, and defend an authentic computational physics or materials project — from your first script to a publication-grade write-up.
- Weekly 1-on-1 sessions tailored to your project and curiosity
- Asynchronous Q&A support between sessions for guidance and debugging
- HPC cluster compute resources provided to run parallel simulations without laptop limits
Audience
Who this mentorship is for
Designed first for motivated high-school students ready for a serious intellectual challenge, with space for learners across academic stages.
Also Welcome
Undergraduates
Building research skills and computational methodology for graduate applications and industry.
Graduate students
Master and PhD students seeking 1-on-1 guidance on density functional theory and computational materials sciences.
Independent researchers
Motivated learners seeking rigorous computational science guidance and research discipline.
The Workflow
How the mentorship runs
Three deliberate steps from choosing your physical question to completing a polished research artifact.
1
Pick a research direction
Explore curated project directions across 2D materials, solar energy, clean fuels, and quantum states, or bring your own question.
2
Weekly 1-on-1 research
Meet weekly with your mentor to inspect simulation outputs, debug code, test numerical convergence, and deepen physical intuition.
3
Formal research write-up
Synthesize your simulations, data, and conclusions into a formal research write-up.
Our Standard
Not tutoring. A research apprenticeship.
We don't solve problem sets or teach to a test. We teach junior researchers how to build physical intuition and defend scientific claims.
Authentic scientific questions
Projects explore how atomic lattice geometries, electron densities, and bonding dictate observable material behavior.
Rigorous numerical trust
Learn to test convergence, isolate controlled variables, and distinguish physical effects from numerical artifacts.
Defensible research artifacts
Complete a substantive project you can explain and defend with confidence, supported by reproducible data and honest limitations.
Research Areas
Explore computational applications
From energy storage and clean solar fuel to quantum spintronics and semiconductors.
Electronics and semiconductors
Model how electrons move through materials to design better transistors, LEDs, and sensors.
Optical materials and solar cells
Simulate how materials absorb sunlight and convert it into clean electricity.
Batteries and energy storage
Track how ions move during charge and discharge to discover longer-lasting battery materials.
Get Started
Ready to begin your computational research journey?
Applications are reviewed on a rolling basis. Reach out with your STEM background and interests to schedule a free 30-minute consultation call.