https://github.com/philipturner/apm-roadmap
A Nanofactory Roadmap 2: Improved Proposal for a Comprehensive Diamondoid Nanofactory Development Program
https://github.com/philipturner/apm-roadmap
analog-signal-processing computer-science crystallography finite-element-analysis fluid-dynamics high-voltage-electronics integrated-circuit-packaging laboratory-safety laser-interferometry nmr-spectroscopy numerical-linear-algebra organometallics peer-review project-management quantum-chemistry ray-tracing science-communication statistical-mechanics ultra-high-vacuum vibration-isolation
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A Nanofactory Roadmap 2: Improved Proposal for a Comprehensive Diamondoid Nanofactory Development Program
- Host: GitHub
- URL: https://github.com/philipturner/apm-roadmap
- Owner: philipturner
- License: other
- Created: 2025-07-06T11:09:06.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-07-24T23:11:12.000Z (10 months ago)
- Last Synced: 2025-07-25T04:58:59.388Z (10 months ago)
- Topics: analog-signal-processing, computer-science, crystallography, finite-element-analysis, fluid-dynamics, high-voltage-electronics, integrated-circuit-packaging, laboratory-safety, laser-interferometry, nmr-spectroscopy, numerical-linear-algebra, organometallics, peer-review, project-management, quantum-chemistry, ray-tracing, science-communication, statistical-mechanics, ultra-high-vacuum, vibration-isolation
- Homepage:
- Size: 38.1 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
A Nanofactory Roadmap 2:
Improved Proposal for a Comprehensive Diamondoid Nanofactory Development Program
Objectives:
- Revise the motivations for molecular nanotechnology, redirect R&D resources away from alternative pathways to continuation of Moore’s Law.
- Outline the long, multi-phase development path on the experimental side.
- Prove physical plausibility by shrinking the uncertainty in required parallelism and attainable reaction frequencies.
- Highlight new technologies (organotin tripods) that must be developed proactively, to arrive just on schedule for the later development phases.
- Take action to break the barrier to entry for Phase I.
- Outline the ambitions for a CAD software suite, which will lead to improved clarity on the more far-term development phases.
- PyTorch for nanomachines. Importance of ergonomic API design and greater programmability, unlocking more control for the user. This often comes with negative effects on backend performance (CPU–GPU communication gap) and a higher barrier to entry (more extensive tutorial suite).
- The need to restrict the software stack to Apple silicon and high-end Windows PCs (AVX2, discrete GPUs).
- The strange realization that simulators are out of scope for the CAD foundation.
Table of Contents:
- [Experimental Development Pathway](./Documentation/Experimental%20Development%20Pathway.md)
- [Principal Issue](./Documentation/Principal%20Issue.md)
- [Near-Term](#)
- [Experiments](./Documentation/Near-Term/Experiments.md) (Phase I–II)
- [Commercialization](./Documentation/Near-Term/Commercialization.md) (Phase III)
- [CAD Software](#)
- [Motivation](./Documentation/CAD%20Software/Motivation.md) (Phase IV)
- [Influencing Documents](./Documentation/CAD%20Software/Influencing%20Documents.md) (Phase IV)
- [Implementation Plan](./Documentation/CAD%20Software/Implementation%20Plan.md) (Phase V–VI)
© 2025. Philip A. Turner. Permissively licensed.
Drafted in collaboration with the open source community.