CANDO: A Compiled Programming Language for Computer-Aided Nanomaterial Design and Optimization
European Lisp Symposium2 HN recommenders · 2016–2019
3K views · talk · dated · Uploaded 2016-05-30
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.
Recommended as one of the best talks of the symposium for the unusual scope of applying Lisp to molecular design.
53:22Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich
Confreaks
42:03The Soul of Erlang and Elixir • Sasa Juric • GOTO 2019
GOTO Conferences
1:01:39"Simple Made Easy" - Rich Hickey (2011)
Strange Loop Conference
36:45Rich Harris - Rethinking reactivity
You Gotta Love Frontend
25:06"Making Impossible States Impossible" by Richard Feldman
elm-conf
51:18Lexical Scanning in Go - Rob Pike
GoogleFOSSSydney
1:31:06William Byrd on "The Most Beautiful Program Ever Written" [PWL NYC]
PapersWeLove
31:44The Value of Values with Rich Hickey
InfoQ
5 comments from Hacker News
Best talks in my opinion: * [VIDEO] * [LINK] Notable mentions: * [LINK] * [LINK] * [LINK] I liked OpenGL lightning talk as well: * [LINK]
> [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]
[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.
My initial thought was that this was about a project building atop of clasp, like CANDO: [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]
I wish there were a nanotechnology startup that would address MRSA. In theory, you can develop nanobots that attack specific types of bacteria. Not sure if this would work: [VIDEO]