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WeAreDevelopers LIVE • Jun 15, 2022

The Billion Dollar Machine: First Time Right.

Andreas Kaldun

Building next-generation microchips requires precision so extreme that physical prototyping is impossible. Discover how engineers use Python and digital twins to simulate billion-dollar machines at the atomic level.

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#1 about 5 min

Introduction to modern silicon chip manufacturing

Transforming raw sand into advanced silicon CPUs depends entirely on the specialized precision of lithography machines.

#2 about 6 min

Extreme precision requirements for projection optics

Manufacturing chips at the nanometer scale requires mirrors with surface accuracy scaled down to atomic distances.

#3 about 5 min

Replacing hardware prototyping with software simulations

Prohibitive manufacturing costs make hardware iteration impossible, necessitating complete digital simulation of the production processes.

#4 about 5 min

Measuring atomic accuracy using digital twins

Creating an exact digital replica of the mechanical and optical properties isolates minimal signals from massive background noise.

#5 about 11 min

Q&A on software stacks and precision limits

Maintaining extreme calibration over time requires specialized technology stacks equipped with highly optimized finite element simulations.

Matching moments

3:18 min

Introduction to semiconductor technology and algorithms at Zeiss

Michael Niebisch Michael Niebisch · WWC 2024

2:32 min

Introduction to Zeiss and industrial manufacturing hardware

Andreas Kaldun Andreas Kaldun

2:55 min

Discussion on software-driven manufacturing and simulator costs

Andreas Kaldun Andreas Kaldun

3:34 min

Building digital twins for lithography machine simulation

Andreas Kaldun Andreas Kaldun · WWC 2023

3:27 min

Exploring physical limits and alternatives to silicon chips

Stephen Jones · Coffee With Developers

4:15 min

Challenges of measuring high-precision semiconductor manufacturing components

Bernhard Bernhard +1 · WWC 2025

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