Two-stage Class-AB RF PA driver: parameter optimization GaN

 GaN, "Calibrated for 0.25 µm GaN-on-SiC RF process (Wolfspeed G2 / WIN NP25 class)" for base station

artifact (topology change, single device)

LNA Chip Physics Model, PnR

 

LNA Physics Model

artifact

LNA PnR

artifact

artifact

HW#11 RF IC Placement & Routing

  Benchmark  Two-stage Cascode Class-AB RF power amplifier targeting 5G n78 (3.5 GHz) in TSMC 28nm RF

Experiment with 30 seeds

Measure success, congestion, wirelength, overlap pairs (before/after)

Placement style 1

Placement artifact style 2

benchmark

 

Benchmark the P&R for OP 741.

Experiment with 3 seeds

Measure success, congestion, wirelength, overlap pairs (before/after), Vin length match

Placer & Router for OP 741

benchmark

HW#10 RF PA Driver Design (physics vs. closed-form)

 1. Benchmark the three designs of RF PA Drivers

2-stage RF PA driver 

Closed-form Optimizer with Load-Pull Contours 

Performance-first Thermal build  ∠Γ_3f₀ phase (deg) · open=0, -170 deg

Margin-first Thermal build ∠Γ_3f₀ phase (deg) · open=0, -170 deg

Using Cowork or Claude.ai, benchmark the three models. Experiment with 5 seeds. For each seed, optimize the circuit design using built-in A* and then NM. 

For each seed, record metrics from the cascaded optimizers: 

Compare Closed-Form vs. margin-first build vs. comprehensive model. 

-Tabulate Gain, Pout, PAE, OP1dB, S₁₁ (5 metrics × 10 seeds = 40 cells).

-Identify which metric the closed-form most over- or under-estimates.

Cross-check both thermal designs: compute junction temperature rise ΔT_j at peak Pout. Which design runs cooler? By how many °C?

-Build a 2×2 comparison table: rows = {Performance-first, Margin-first}, columns = {Fitness, min-spec-margin (dB), ΔT_j (°C), PAE @ 6dB back-off}.

Visualize all of your data

Supplemental

Margin vs. Performance builds

design choices 

Training Pipeline in Claude Cowork- OPC lithography hotspot detection code

wrap in slides

 

HW#9 RF PA Driver Design (Comparing optimization algorithms and pipelines)

 課堂練習 

Deadline: This Saturday at 23:59

Send all the share links to  me chang212@gmail.com by email with subject HW#9 [your id, your name]

只要做第一題

1. Benchmark the three algorithms (GD, NM, A*) and their cascades (one designed by you and the other design by AI )

• For the five methods, each runs with 10 seeds
• Tabulate Gain, Pout, PAE, OP1dB, S₁₁ (5 methods = 5 tables, each table with 5 metrics × 10 seeds = 40 cells).
• Visualize all of your data

Two-stage Cascode Class-AB RF PA Driver targeting 5G n78 (3.5 GHz) in TSMC 28nm RF

Build Sub 6 GHz Power Amplifier Optimizer with Die Synced

share, artifact (Closed-Form)

Benchmark using Claude, Benchmark results

HW#8 Claude Cowork

 課堂練習 

Deadline: This Saturday at 23:59

Send all the share links to  me chang212@gmail.com by email with subject HW#8 [your id, your name]

Part 1

Use Claude CoWork to benchmark  BJT Differential Pair 

 1. Experiments with 30 seeds

schematic with parameter optimizer

2. The SA code is flawed. Therefore Ad, CMRR, PM cannot be optimized. Use Cowork to diagnose and fix the code. Rerun the bencmark.

Hint: prompts for CoWork

Prompts for Claude Chat

Part 2

Benchmark the P&R for OP 741.

Experiment with 3 seeds

Measure success, congestions, wirelength, overlap pairs (before/after), Vin length match

Placer & Router for OP 741

benchmark