densitygen
Why it matters.
Core trick
An agent queries the Materials Project database, filters candidates against the spec, and ranks them with trade-offs plotted for the engineer.
Description
Why it matters. Every modern chip — in your phone, in AI data centers, in defense systems — is a stack of hundreds of films just a few atoms thick. Each generation of chip forces a switch to new materials because the old ones physically stop working. Finding the replacement today takes a specialist months of slow, fragile physics simulations, one material at a time — and a wrong pick can blow a multi-year, multi-billion-dollar fab bet.
How densitygen helps. Type a plain-English requirement (“a leak-proof insulator for a 2nm transistor that survives a 1000°C bake”) and get a ranked shortlist of real candidate materials in seconds, pulled from the public Materials Project database, scored against the spec, with the unavoidable trade-offs on one chart. An AI agent does the tedious querying, filtering, and ranking; the engineer makes the call; the expensive simulations are saved for just the final two or three finalists. Months → an afternoon.
Who it’s for. Computational materials scientists and process engineers at semiconductor fabs (Intel, TSMC, Samsung), defense/aerospace R&D, and the precursor-chemical suppliers (Merck, Entegris, Air Liquide) whose multi-million-dollar bets ride on picking the right material.
README excerpt
# DensityGen **A materials-selection copilot for chip R&D.** Pick the right thin-film material — and the precursor to deposit it — for a next-generation chip in an afternoon instead of months. ### Why this matters (non-technical) Every modern chip — in your phone, in AI data centers, in defense systems — is a stack of *hundreds* of films, each only a few atoms thick, that insulate, conduct, or block. Each new chip generation forces a switch to new materials because the old ones physically stop working. Finding the replacement today takes a specialist **months** of slow, fragile physics simulations, one material at a time — and a wrong pick can blow a multi-year, multi-billion-dollar fab bet. DensityGen compresses that triage loop from weeks to seconds and reserves the expensive simulations for only the final finalists. **Who it's for:** computational materials scientists and process engineers at semiconductor fabs (Intel, TSMC, Samsung, Applied Materials), defense/aerospace R&D, and the precursor-chemical suppliers (Merck, Entegris, Air Liquide) whose multi-million-dollar bets ride on the choice. --- ## This repo has two parts | Part | What it is | Stack | Lives in | | --- | --- | --- | --- | | **1. Web copilot UI** | The interactive demo — translate a fab spec into a ranked candidate shortlist from **live Materials Project data**, explore trade-offs, and watch surface chemistry in 3D. | Next.js 16 · React 19 · Tailwind v4 · Three.js | `app/`, `components/`, `lib/` | |