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CANDO: A Compiled Programming Language for Computer-Aided Nanomaterial Design and Optimization

European Lisp Symposium
Talks
YouTube
2 HN users recommended this talk1 month2016–2019 score 1
Years with an HN recommendation, 2007–2026

Recommended as one of the best talks of the symposium for the unusual scope of applying Lisp to molecular design.

Christian Schafmeister presents CANDO at the 2016 European Lisp Symposium. It is a compiled Lisp-based language for designing macromolecules and nanoscale materials, built on the Clasp implementation of Common Lisp.

“no wonder CANDO is impressive, the scope and fields involved are pretty rare” (HN, 2016)

2 recommendations · 3 citations · Talks · advanced · partly dated

5 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@krzychukula May 2016 Recommends
on HN thread European Lisp Symposium 2016
Best talks in my opinion: * [this video] * [link] Notable mentions: * [link] * [link] * [link] I liked OpenGL lightning talk as well: * [link]
Listed among the best talks of the symposium.
@agumonkey May 2016 Recommends
on HN thread European Lisp Symposium 2016
> [this video] no wonder CANDO is impressive, the scope and fields involved are pretty rare... I'm very eager to learn if C. Schafmeister work will bear 'disruptive fruits'. ps: a talk about clasp [link]
Impressive project with rare scope and fields involved.

Citations, criticism and jokes

@TeMPOraL Jun 2017 Cites it
on HN thread AI and Robotics in Agriculture in Japan [video]
[this video] Here's the video from last year's ELS. At the beginning of it he actually explains some of the reasoning - i.e. proteins are cool and powerful, but a) too hard to design, and b) too fragile.
Explains why proteins are powerful but hard to design and fragile.
@e12e Jul 2017 Cites it
on HN thread Back to the Future: Lisp as a Base for a Statistical Computing System [pdf]
My initial thought was that this was about a project building atop of clasp, like CANDO: [this video] [link] [link] But this does seem a bit more like Julia? "Julia: to Lisp or not to Lisp?" [link] Then there's also the Axiom system, which I guess is primarily for symbolic computation, but I don't know if it might make sense to use it as a building block for statistical software? [link]
Example of a project built atop Clasp.

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