tomtranter

Joined 3 years ago

Karma
158
Submissions
38
Member since
Jan 23
Physicist, coder.
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Recent submissions

Comment · 16 days ago
Hahaha
Comment · 25 days ago
like the style and concept
Comment · 8 months ago
Agents don’t need sound effects. But I do.

I made a tiny Python “music alert” for when my agents finish running: original dual-track chiptune jingles with a properly raunchy bass line.

success → end-game credits vibe failure → nervous twitchy riff quick tasks → microwave ping

It’s opt-in (env var gated), so CI stays quiet.

Completely unnecessary. Weirdly addictive. And a great way to make “done” impossible to miss.

What’s your best unnecessary-but-useful dev hack?

Comment · 2 years ago
My biggest frustration as an academic was reproducibility of papers I was reading. The pdf is such a useless medium for information transfer and the academic publishing industry is a complete racket where all the value is generated by the authors and reviewers who work for free and have to pay (in most cases) to have their work accessible freely to the public. I would love to see this turn into a default way to publish papers
Comment · 2 years ago
Comment · 2 years ago
Good question. I would say anyone developing new materials in a lab would benefit from the kind of physics-based models we have in PyBaMM. Organizations is a pretty broad term but I assume you mean companies in which case probably the number as a fraction of all companies dealing with batteries in some way is quite small, but the value of those companies is disproportionately large - think big car manufacturers and also companies dealing in more extreme environments like aerospace and also for heavy vehicles e.g. Fortescue who are electrifying their mining trucks. All the companies building cells and materials for cells doing cell design will certainly benefit from physical modelling. Validation of the packages is strong - PyBaMM has many peer reviewed citations. Validation of the numbers in the simulations for specific cells is probably weak and that's a real pain point in the industry that ionworks is working to address
Comment · 2 years ago
Comment · 2 years ago
PyBaMM predates ChatGPT. But we're emulating cyclers which are fairly basic tbh. I'm exploring ways of using LLMs to improve the experience. ie Cycle my NMC-Gr 18650 with a CCCV at 1C with an RPT cycle of CCCV and GITT at C/10 every 10 cycles until 80% capacity using model options x,y,z
Comment · 2 years ago
Thankyou
Comment · 2 years ago
Comment · 2 years ago

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