Born 362 ppm. https://xitter.cf/t.co/eXRBdGXem5
Joined May 2011
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The future is electric
ALT https://ember-energy.org/latest-insights/reframing-energy-for-the-age-of-electricity/
I have prematurely said that MBD was saturated more times than I should admit. Perhaps there is still more juice to squeeze but if I was still doing day to day research in this space I think there's more ripe fruit to pick elsewhere. I would like to see the following:
This quoted post is unavailable.
Rhys Goodall retweeted
Another step forward in ML-first materials. We’ve seen machine learning revolutionize industry after industry, and today, we release EGIP, showing our ML-first approach that out-performs traditional physics-based methodologies:
radical-ai.com/news/EGIP
Rhys Goodall retweeted
TorchSim v0.2 is out! github.com/Radical-AI/torch-…
I am especially happy to have 5 new contributors and 3 new model interfaces.
Below, a sneak peek of a WIP figure describing TorchSim's approach to memory estimation.
Rhys Goodall retweeted
Today we release TorchSim, a next-generation PyTorch-native atomistic simulation engine for the MLIP era. Our hope is that this open-source package ignites a materials simulation revolution.
Is there any good literature on the use of deep set models as part of deep kernel learning GPs for bayesopt? @Ryan__Rhys @andrewgwils
In relation to the noble prize in physics I've seen several articles saying that @geoffreyhinton worked on applying ML to improve solar cells, if anyone has the source material or references I would love to read them but haven't found them through search.
Rhys Goodall retweeted
the bay area is one of the greatest failures of urban planning in human history
- best weather on earth
- waterfront property, islands, and hills for views
- massive natural bay
what we got:
- mindless suburban sprawl
- a “subway” used by <1% of the population
Rhys Goodall retweeted
If it seems like I’ve been talking about data centers a lot, here’s a good example why. Major climate goals are at risk.
“Microsoft’s predicament is one of the first concrete examples of how the pursuit of AI is colliding with efforts to cut emissions.” bloomberg.com/news/articles/…
The philosophy of Matbench Discovery was to try produce a discriminative benchmark that mirrors a real workflow in High-Throughput inorganic crystal discovery. We’re hoping to commodify the thermodynamic screening steps such that researchers can focus on properties and synthesis
Rhys Goodall retweeted
Using the recently added MACE multi-GPU support, @PhilippBenner2 burned 1440 A100 hours to train a 16M param universal MACE on MPtrj that achieves a new SOTA on Matbench Discovery, reaching F1 score of 0.64 in crystal stability prediction! 🧵
In a manufacturing context we’re often running multiple repeats such that we get an understanding of process variances. When using BO there seems to be a gap in my literature search about how to effectively use repeat noisy measurements. Explicitly hetroskedatic GP models 1/
Whenever I am in a new city I always feel astonished that more places haven’t adopted contactless payments for transit like @TfL rather than prepaid cards. It’s so much more seamless and meaningfully reduces the barrier for tourists or those who don’t typically use transit.