Validation &
Precision
Bridging the gap between computational proof and physical lab measurement. Our validation framework ensures that every nanometer of architecture is backed by rigorous empirical cross-referencing.
Tests are Truth
Empirical data takes precedence over theoretical simulations. Every solver is anchored in hardware reality.
Red-team Visibility
Continuous adversarial stress testing on routing and thermal boundaries to detect edge-case failures.
Cross-checks
Multi-solver convergence protocols. If FDTD and BEM disagree, the architecture triggers a re-calibration.
Experiments
Active synthesis of test coupons for high-frequency glass substrates to prove next-gen node viability.
Automated Test Footprint
Our infrastructure executes hundreds of regression tests per build cycle, focusing on high-density suites for advanced packaging constraints.
Glass PDK Suite
Bondability Metrics
Bondability FNO Model
Measured on 20,000 held-out test samples spanning the full operational parameter range. Screening-grade, used to identify high-risk regions before full physics verification.
Training Data Provenance
Derived from 1.6M+ impedance database rows across the unified solver stack.
Model Card: #FNO-992-B
Optimized for Fourier Neural Operators focusing on multi-physics thermal-mechanical coupling.
Electromagnetic Validation
Comparative analysis of signal integrity across heterogeneous substrates.
Glass PDK / BEM Impedance
Structural Strength
Superior modeling of surface roughness and plating skin-depth effects in high-aspect TGVs.
FDTD Cross-Validated
150 designs across 5 glass types independently validated with Meep 3D FDTD. 12.2 hours of full-wave compute, 100% completion rate.
ResMLP Surrogate v2: R² = 0.999992
Trained on 142,965 BEM rows across 15+ glass types. 1,000x speedup. MAE = 0.09%. Physics-informed monotonicity loss.
Software Limitation
BEM assumptions may diverge in ultra-dense weave patterns above 110GHz without heuristic correction.
IsoCompiler / FDTD
Structural Strength
Full-wave time-domain precision for transient analysis and non-linear material response.
BEM Cross-Validation Complete
150 BEM designs validated with independent 3D FDTD across 5 glass types. 12.2 hours of Meep full-wave compute confirms BEM predictions.
Software Limitation
High computational cost; currently restricted to localized tile-based verification for 4nm nodes.
Lab-Ready Templates
Pre-configured Statement of Work (SOW) packages for rapid correlation between ChipletOS digital twins and physical lab measurement.
SAM Imaging
Scanning Acoustic Microscopy correlation for void detection in hybrid bonding interfaces.
- > Ultrasonic Calibration
- > Interface Mapping
- > Void Volume Ratio
VNA Correlation
Vector Network Analyzer templates for S-parameter extraction up to 220GHz.
- > De-embedding Logic
- > Multi-port Characterization
- > Return Loss Profile
CHF Experiment
Critical Heat Flux testing protocols for high-power AI accelerators using glass cooling.
- > Thermal Ramp Control
- > Micro-fluidic Sync
- > Pressure Drop Delta
Solver Maturity Matrix
| Component Solver | Key Metric | Status | Production Status |
|---|---|---|---|
| BEM TGV Impedance | 3.57% MAE vs IEEE + 150-design FDTD validation | vs 5 IEEE Papers + 3D FDTD (5 glasses) | Enterprise Ready |
| TMM RF Isolation | 10⁻¹⁶ energy conservation | Machine-epsilon | Enterprise Ready |
| ILC Zernike Controller | 982/1000 wins | vs 5 baselines | Production |
| Kirchhoff FEM | sub-4ms latency | Warpage prediction | Production |
| IsoCompiler Adjoint | r = 1.0 vs finite-difference | 0/20 alternatives beaten | Production |
| FNO Yield Model | R² = 0.50 pixel / 0.63 image-max | Screening-grade risk prediction | Production |
| LBM Thermal Solver | 720,000x speedup | Analytical benchmark | Enterprise Ready |
BEM Solver vs Published IEEE Literature
| Paper | Glass | Published Z₀ | BEM Z₀ | Error |
|---|---|---|---|---|
| Sukumaran et al. ECTC 2014 | Eagle XG | 48.0 Ω | 51.02 Ω | +6.29% |
| Watanabe et al. ECTC 2019 | AF32 | 44.0 Ω | 43.50 Ω | -1.14% |
| Shorey et al. JMS 2016 | Borosilicate | 36.5 Ω | 36.51 Ω | +0.03% |
| Tummala et al. JEP 2020 | EN-A1 | 34.0 Ω | 34.32 Ω | +0.95% |
| Hwang et al. TMTT 2017 | Quartz | 41.0 Ω | 37.13 Ω | -9.44% |
| Mean Absolute Error | 3.57% | |||
Full Evidence Package Under NDA
Complete validation methodology, reproducibility scripts, raw benchmark data, training data provenance, and per-solver risk assessments are available in the NDA data room.