Physics Module Review
Nine chapters on one page — mapped onto SIDRA.
Prerequisites
What you'll learn here
- See how the 9 chapters of Module 1 connect in one concept map
- Match each concept to a single formula / a single SIDRA component
- Probe the module with an integrative lab task
- Prepare for Module 2 (Chemistry)
Hook: Nine Chapters → One Sentence
We’ve walked nine fronts this module: atom, bands, diode, MOSFET, Ohm, RC, tunneling, electrochemistry, thermodynamics. Each is a book on its own. Yet they collapse into one sentence:
An electron, in a semiconductor lattice, flows through a channel the gate controls; in a memristor that current becomes voltage × conductance; a capacitor times it; tunneling can cross an insulator and ion motion writes conductance into memory; and all of this is paid for in heat.
This chapter turns that sentence into a concept map, a one-page cheat sheet, and an integrative lab.
Intuition: SIDRA's Bare Path
Every Module 1 chapter serves a specific SIDRA component:
| Chapter | Concept | SIDRA role |
|---|---|---|
| 1.1 | Atom / electron energy levels | HfO₂ electronic states, emission spectrum |
| 1.2 | Bands, semiconductor vs insulator | Si substrate (semi) vs HfO₂ (insulator) |
| 1.3 | P-N diode + OTS analog | 1S1R selector — sneak-path control |
| 1.4 | MOSFET inversion channel | Every transistor in the 28 nm CMOS base die |
| 1.5 | Ohm + KCL → MVM | Crossbar analog matrix-vector multiply |
| 1.6 | Capacitance + τ = RC | TDC readout — turning current into time |
| 1.7 | Quantum tunneling | HfO₂ gate dielectric + memristor LRS path |
| 1.8 | Ion migration + filament | Memristor SET/RESET mechanism |
| 1.9 | Joule heat + thermal budget | TDP ladder (Y1 3 W → Y100 100 W) |
Formalism: One-Page Formula Card
Nine core equations, all in one place:
| Topic | Formula |
|---|---|
| Bohr energy | eV |
| Thermal voltage | mV (300 K) |
| Diode (Shockley) | |
| MOSFET saturation | |
| Ohm → conductance | |
| MVM (column current) | |
| RC time constant | |
| Charging curve | |
| Tunneling | |
| Arrhenius retention | |
| Joule | |
| Thermal Ohm |
What’s exponential:
- Diode current in V (). 60 mV → 10×.
- MOSFET subthreshold current in V_GS.
- Tunneling in d and .
- Ionic drift in qaE/kT (high field).
- Retention in .
- CMOS leakage in temperature.
All from the same Boltzmann family: . Any time physics has a barrier, its crossing probability sits in an exponential of that barrier. This is the single big sentence of the module.
What’s linear:
- Ohm ().
- Analog MVM (follows from Ohm).
- Derivative form of capacitor charging.
- Fourier heat flux.
What’s quadratic:
- MOSFET saturation current .
- Capacitor energy .
- CMOS dynamic power .
- Joule heat .
Quadratics sit in the “energy” family, linears in “current/voltage”, exponentials in “crossing-a-barrier”.
Experiment: Draw Your Concept Map
Take a sheet of paper. Arrange these 9 nodes on a page and draw links between them:
[Atom] ── [Bands] ─── [P-N Diode]
│ │ │
│ └── [MOSFET] ─┘
│ │
[Ohm's Law] ──── [MVM (crossbar)]
│ │
[Capacitance] ─── [τ = RC] ── [TDC]
│
[Tunneling] ─── [Electrochemistry] ── [Memristor filament]
│
[Thermodynamics / Joule]Next to each link, write one sentence: “How does A enable B?” Example:
- Atom → Bands: “Many atoms together broaden discrete energy levels into bands.”
- Bands → MOSFET: “Above-threshold gate voltage inverts the p-lattice, opening a conduction band channel.”
- Ohm → MVM: “Each memristor computes V·G; KCL sums column currents.”
This map should be in your head when you walk into Module 5.
Cumulative Quiz
Each question touches 2-4 chapters. 8 total — pass with more than half.
Integrative Lab: A Memristor Cycle
Model the full program-read-retention cycle of one HfO₂ memristor cell.
Data:
- Cell size: 100 nm × 100 nm × 5 nm (HfO₂)
- V_read = 0.1 V, V_prog = 2 V
- Parallel capacitance C_par = 0.5 fF
- LRS conductance G_LRS = 100 µS (10 kΩ)
- HRS conductance G_HRS = 1 µS (1 MΩ)
- HfO₂ activation energy E_a = 1.0 eV
Questions:
(a) Under program voltage, what’s the electric field (V/m)? What is qaE in eV? (a = 0.3 nm) (b) Read currents in LRS and HRS (in µA)? (c) Read RC time, and minimum read duration? (d) If retention at 85°C is 10⁵ s, how long at 25°C? ( eV) (e) SIDRA Y1 has 4.19 × 10⁸ cells. Power to read all in parallel? (assume column current ~ N · V · G_avg, G_avg = 50 µS)
Solutions
(a) E = 2 / 5×10⁻⁹ = 4×10⁸ V/m. qaE = 1.6×10⁻¹⁹ · 0.3×10⁻⁹ · 4×10⁸ = 0.12 eV.
(b) I_LRS = 0.1 · 100 µS = 10 µA. I_HRS = 0.1 · 1 µS = 0.1 µA. 100× ratio — easy to distinguish.
(c) R_LRS = 10 kΩ, C_par = 0.5 fF. τ = 10⁴ · 0.5×10⁻¹⁵ = 5 ps. Minimum read ≥ 5·τ = 25 ps. Real SIDRA reads at ~100 ps - 1 ns.
(d) t_25/t_85 = exp(E_a/kT_25 - E_a/kT_85) = exp(1/0.02585 - 1/0.03086) = exp(6.3) ≈ 545. So t_25 ≈ 10⁵ · 545 = 5.5×10⁷ s ≈ 1.7 years. (SIDRA 10-year target requires E_a ≈ 1.2 eV.)
(e) Column current ~ N · V · G = 256 · 0.1 · 50×10⁻⁶ = 1.28 mA. 16 CUs × 400 subarrays × 256 columns ≈ 1.6×10⁶ columns. All active → 2000 A impossible. In reality only active CUs read with ~5% activity → ~100 A × 0.1 V = 10 W. Y1 TDP is 3 W, so α < ~30%. This is exactly why activity factor matters (Ch. 1.6).
Module 1 Cheat Sheet
At a glance:
- ✅ Electron and atom energy levels (Bohr ladder).
- ✅ Band structure → metal / semiconductor / insulator classification.
- ✅ P-N diode (Shockley), forward/reverse bias, mV.
- ✅ MOSFET 3 regimes (off / triode / saturation), CMOS inverter.
- ✅ Ohm + KCL = foundation of analog MVM.
- ✅ Capacitance + RC + CMOS dynamic power .
- ✅ Quantum tunneling , HfO₂ high-k advantage.
- ✅ Memristor: oxygen-vacancy filament, SET/RESET, endurance.
- ✅ Joule heat + thermal balance, TDP budgets, DVFS throttling.
You’re ready for SIDRA: Module 5 dresses this same physics onto the real chip. You can skip there directly; or continue with Module 2 (Chemistry) and Module 3 (Biology→Algorithm) for the HfO₂ fab chemistry and the synapse analogy.
Vision: Beyond Physics — Modules 2–9 Preview
Module 1 laid the classical and quantum foundations. The next modules extend that foundation in different directions — each is a potential leap point for post-Y10 SIDRA:
- Module 2 (Chemistry): atom-by-atom ALD-grown HfO₂, NbOx selectors, redox kinetics. Vision: ferroelectric HZO, 2D materials (MoS₂, hBN), single-molecule memristors.
- Module 3 (Biology + Algorithm): brain synapse model, STDP learning, spike-timing code. Vision: organic synapses (PEDOT:PSS), biomimetic neurons, brain-matched 20 W energy budget.
- Module 4 (Math): linear algebra, probability, optimization, tensor analysis. Vision: quantum linear algebra (HHL), neuromorphic optimization, stochastic computing.
- Module 5 (Hardware): crossbar circuit design, ADC/DAC, sense-amp, TDC. Vision: fully digital-analog hybrid compute, photonic MVM, superconducting hybrids.
- Module 6 (Software): compiler, tensor mapping, mixed precision. Vision: analog-aware compiler, HW/SW co-design tooling.
- Module 7 (Manufacturing): wafer, lithography, yield, packaging. Vision: wafer-scale 3D integration, chiplet marketplace, in-memory packaging (HBM → HBM-M).
- Module 8 (System): chiplet interconnect, power delivery, thermal. Vision: optical chiplet-to-chiplet links, immersion cooling, thermal-aware scheduling.
- Module 9 (Top layer): AI model architectures, training, inference. Vision: brain-scale models (10¹⁴ parameters), lifelong learning, federated training.
The biggest post-Y10 SIDRA “game changer”? Most likely photonic–electronic hybrid MVM (Module 5 + 8): light for data movement, electricity for weight multiplication. Bandwidth 100×, power 10× lower. But not before 2028.
Further Reading
- Next module: 2.1 — The Chip Side of the Periodic Table — Module 2 begins.
- Fast route: Module 5 (Chip Hardware) — physics applied on silicon.
- Previous: 1.9 — Thermodynamics
- Meta reference: Mary Boas, Mathematical Methods in the Physical Sciences — the math language we’ve used.