You're curious but you're not comfortable beyond middle-school math. We start right there — electrons, synapses, Ohm's law.
Learn SIDRACHIP, in the workshop.
From physics to silicon, from neurons to transformers — 9 modules, ~75 chapters, zero external dependencies.
77 published · 77 planned
Choose your path
Undergrad years 1–3. Comfortable with calculus, circuits, probability. From here we can build memristor models, MVM equations, thermal math.
You know quantum mechanics, signal processing, transformer architectures. We go to the level where Sidrachip's architectural choices can be justified.
Curriculum
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Module 0 — Welcome
Because you're here, we're going to tell you a story that will carry you for 18 months.
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Module 1 — Physics Foundation
Before we can understand a memristor, let's remember what an electron is.
1.1 · The Atom and the Electron 1.2 · Bands and Semiconductors 1.3 · The P-N Diode 1.4 · MOSFET — The Atom of 28 nm CMOS 1.5 · Resistance and Ohm's Law 1.6 · Capacitance and the RC Time Constant 1.7 · Quantum Tunneling 1.8 · Electrochemistry and Ion Motion 1.9 · Thermodynamics and Joule Heating 1.10 · Physics Module Review
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Module 2 — Chemistry and Materials Science
Every atom in your chip is a deliberate choice.
2.1 · The Chip Side of the Periodic Table 2.2 · HfO₂ — Why Hafnium Oxide? 2.3 · NbOx — The Chemistry of OTS 2.4 · Thin-Film Deposition: ALD, PVD, CVD 2.5 · Lithography Chemistry 2.6 · Plasma Etching (ICP-RIE) 2.7 · CMP and the SOG Alternative 2.8 · Metallization: Tungsten vs Copper 2.9 · Contamination and the Doom of a Single Speck 2.10 · Chemistry Module Review
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Module 3 — From Biology to Algorithm
Because the brain's power budget is 20 W, ours is 1.5 kW.
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Module 4 — The Math Arsenal
Linear algebra is our gym.
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Module 5 — Chip Hardware
The existing 13 chapters, updated to YILDIRIM v3.0 spec.
5.1 · The Neuromorphic Computing Paradigm 5.2 · Deep Dive: The Memristor 5.3 · The Crossbar Array 5.4 · YILDIRIM Chip Architecture 5.5 · DAC — SAR + ISPP 5.6 · TDC — Time-Domain Readout 5.7 · TIA — Transimpedance Sensing 5.8 · MUX, Decoder, and Analog ECC 5.9 · Compute Engine and DMA 5.10 · Noise Models 5.11 · Power and Thermal Management 5.12 · Metal Lines and IR Drop 5.13 · Signal Chain and Packaging 5.14 · Y1 / Y10 / Y100 Comparison 5.15 · Thermal and Packaging Deep Dive
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Module 6 — Software Stack
Hardware is only half of it.
6.1 · OS and PCIe Driver Basics 6.2 · Linux Kernel and aether-driver 6.3 · RISC-V Firmware 6.4 · The ISPP Algorithm, Step by Step 6.5 · SDK Layers 6.6 · Writing a PyTorch Backend 6.7 · Compiler: Model → Analog Mapping 6.8 · Digital Twin / Simulator 6.9 · Test, Calibration, Verification 6.10 · End-to-End Production Stack Lab
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Module 7 — Fabrication and Ecosystem
What happens to a wafer at UNAM?
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Module 8 — Context and the Future
Why does this matter, and where are we going?