Multi-Scale Realism Tiers in Phonon
Phonon spans 6 distinct levels of physical abstraction and simulation fidelity. This enables engineers to validate devices seamlessly from atomistic quantum electro-mechanics up to full-chip multi-million transistor circuit blocks.
Realism Tier Matrix
| Tier | Abstraction Name | Physical Domain & Governing Equations | Typical Evaluation Speed | Primary Use Case |
|---|---|---|---|---|
| Tier 0 | Topological Quantum Acoustics | Master-equation density matrices, non-Abelian anyon braiding matrices, chiral acoustic gauge fields | ~1.3M to 3.5M sweeps/s | Fault-tolerant quantum computing, surface codes, topological routers |
| Tier 1 | Microscopic TCAD | 1D/2D finite-difference mesh, Poisson-Drift-Diffusion, Fermi-Dirac band bending | ~140 us / mesh solve | Doping profile engineering, gate oxide breakdown, short-channel effects |
| Tier 2 | Inverse Multi-Objective Synthesis | NSGA-II Pareto optimization, adjoint gradients, GAA Nanosheet / CFET genome synthesis | ~190 ns / genome eval | Automated transistor geometry optimization, low-power Pareto fronts |
| Tier 3 | Compact SPICE Electronics | BSIM4 MOSFET overdrive, Ward-Dutton charge conservation, Gummel-Poon BJT, Newton-Raphson MNA | ~160 ns / BSIM4 eval (~78 us / full circuit solve) | Standard cell library validation, analog/RF amplifiers, digital logic |
| Tier 4 | Cryogenic Cryo-CMOS | 4.2K to 77K dopant freeze-out, subthreshold steepening, quantum interface control | ~2.2 us / device eval | Quantum processor control ICs, cryogenic readout circuits |
| Tier 5 | Coupled Electro-Thermal Multi-Physics | Monolithic MNA with dynamic Cauer RC thermal ladders, non-linear Joule self-heating | ~590 us / coupled solve | Power electronics, thermal runaway analysis, 3D packaging hotspots |
| Tier 6 | High-Throughput SIMD Acceleration | 4-lane AVX2/NEON vectorization, Rayon multi-threaded batch dispatch | ~260 ns / transistor | Batch Monte Carlo statistical sweeps, yield estimation |
Periodic Regression Auditing
Every 5 roadmap phases, an automated regression suite audits the entire multi-abstraction stack to guarantee zero physical regression and maintain ultra-high numerical throughput.