JEDEC JESD51-2 pulse-train constant-DC-bias self-heating transient
PARITYS1 · dim 6No clear winner. The survival gap is under 10 percentage points and the balanced-score gap is under 0.05, so neither SolvSRK nor the best baseline clears the win threshold. Either works - choose on cost, licensing, or integration effort. All verdicts →
6D Cauer thermal stack driven by constant DC self-heating bias (LRDE row-1 GREEN reduction of the JESD51-2 pulse-train fixture). Reports junction-to-ambient transient temperature with the same network as jesd51_1d_stack.
Problem definition
JEDEC JESD51-2 (1995/2008)
Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.
Show canonical RHS excerpt
def rhs(t: float, y: np.ndarray) -> np.ndarray:
return A_csr @ y + b_arr- Parameters
- A_csr = sparse_matrix(shape=(6, 6), nnz=16)
- b_arr = [10000, 0, 0, 0, 0, 2.3852]
- Initial condition
- y(0) = [298.15, 298.15, 298.15, 298.15, 298.15, 298.15]
- Horizon
- t ∈ [0, 1]
Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.
Fingerprint
Spread: high
Default noise: none
Recommendation snapshot
Clean best: SolvSRK
Noisy best: SciPy Radau
Coverage
14 solver arms · clean + 5 noise levels
Ranked on survival, precision, and speed
Versions & freeze
Methodology →- Freeze
- 2026-08-13
- libsolvsrk
- 2.3.0
- SciPy
- 1.14
- SUNDIALS
- CVODE (bundled backend)
20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: JEDEC JESD51-2 pulse-train constant-DC-bias self-heating transient (jedec-jesd51-2-pulse-train-constant-dc-bias-self-heating-transient)
Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.
Self-reported by Resonix Labs · not independently verified
Results matrix
Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.
Objective
Best overall trade-off of survival, precision, and speed.
Noise level
| # | Solver | Survival | SCD | nfev | Wall | Score |
|---|---|---|---|---|---|---|
| 1 | SolvSRK | 100% | 14.9 | 14,337 | 68 ms | 0.975 |
| 2 | SciPy RadauSciPy | 100% | 11.0 | 824 | 20 ms | 0.880 |
| 3 | Vern7external | 100% | 10.6 | 5,372 | 4.34 s | 0.872 |
| 4 | Vern9external | 100% | 10.5 | 8,834 | 4.36 s | 0.868 |
| 5 | CVODE Adamsexternal | 100% | 8.4 | 987 | 16 ms | 0.819 |
| 6 | Tsit5external | 100% | 8.3 | 5,376 | 1.40 s | 0.818 |
| 7 | SciPy RK45SciPy | 100% | 8.1 | 5,168 | 46 ms | 0.811 |
| 8 | FBDFexternal | 100% | 8.0 | 295 | 5.31 s | 0.810 |
| 9 | SciPy RK23SciPy | 100% | 8.0 | 3,239 | 35 ms | 0.810 |
| 10 | CVODE BDFexternal | 100% | 7.9 | 271 | 10 ms | 0.808 |
| 11 | SciPy DOP853SciPy | 100% | 7.8 | 4,754 | 38 ms | 0.805 |
| 12 | SciPy LSODASciPy | 100% | 7.8 | 447 | 3 ms | 0.804 |
| 13 | SciPy BDFSciPy | 100% | 7.7 | 359 | 15 ms | 0.803 |
| 14 | TRBDF2external | 100% | 5.2 | 355 | 5.62 s | 0.743 |
At Clean, best balanced arm is SolvSRK.
Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →
Cite this page
Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is - a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.
@misc{resonix_evidence_jedec_jesd51_2_pulse_train_constant_dc_bias_self_heating_transient_2026,
title = {Resonix Evidence Portal: JEDEC JESD51-2 pulse-train constant-DC-bias self-heating transient},
author = {{Resonix Labs (Canada) Inc.}},
year = {2026},
howpublished = {\url{https://resonixusa.com/evidence/problems/jedec-jesd51-2-pulse-train-constant-dc-bias-self-heating-transient}},
note = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}Related
TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels
Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology
Self-reported by Resonix Labs · not independently verified · Verification status