James Spencer

[James Spencer @exp_n]

Excited to share this - can neural networks provide a compact and expressive wavefunction ansatz for quantum chemistry? With wonderful collaborators @pfau, @alexggmatthews at DeepMind and Matthew Foulkes at Imperial. #compchem

[David Pfau @pfau]

Thrilled to be able to share what I've been working on for the last year - solving the fundamental equations of quantum mechanics with deep learning!

https://t.co/pzp0Xhsxbu

[David Pfau @pfau]

I’m beyond thrilled to share that our work on using deep learning to compute excited states of molecules is out today in @ScienceMagazine! This is the first time that deep learning has accurately solved some of the hardest problems in quantum physics. https://t.co/TWagWjXMV6

[Physical Review X @PhysRevX]

Modifications to the fermionic neural network allow it to tackle studies of a unitary Fermi gas with unrivaled accuracy, suggesting the architecture can also be used to study other strongly correlated systems.

https://t.co/0lhRBPi8ex

@lou_tonny @sutterud @pfau @exp_n

[Google DeepMind @GoogleDeepMind]

New research shows that learned force fields are ready for use in catalyst discovery.

Here, ‘Easy Potentials’ outperform classical quantum chemistry tools on the #OpenCatalyst challenge and find lower energy structures outside of the training set: https://t.co/iR1jSofeFJ 1/2

[Google DeepMind @GoogleDeepMind]

✨ Applications for internships are now open✨

Interning at DeepMind offers a unique opportunity to closely collaborate with our team & work on various projects that aim to advance science and benefit humanity.

Interested? Learn more: https://t.co/31ASQzuCKU

[Zoubin Ghahramani @ZoubinGhahrama1]

Impressive work representing symmetries and antisymmetries in deep networks to model quantum chemical energy calculations.

[Kim Stachenfeld (neurokim.bsky.social) @neuro_kim]

DeepMind Internship applications open! Note they are accepted on a rolling basis, so apply now! https://t.co/bZjJSjlneK

[Giuseppe Carleo @gppcarleo]

Announcing 4 days of "Machine learning for Quantum Simulation" on June 22-23 & June 29-30 @FlatironCCQ - topics include classical ML for quantum sim./VQEs/ML for DFT/quantum tomography etc. Great lineup of speakers, fully virtual, register here to attend! https://t.co/r9WfiPp91S

[Andrew Jeffrey @AJMagicMessage]

Isolation, Day 7

DfE leaks abandoned KS2 SAT papers.

[Google DeepMind @GoogleDeepMind]

Today we are releasing Haiku and RLax, our JAX libraries for neural networks and reinforcement learning. Check them out at https://t.co/nWfmeLMkSS and https://t.co/x7hEFPQkc5 ! #jax #AI #RL #deeplearning #machinelearning

[European Athletics @EuroAthletics]

RT to vote for Jess Piasecki! 🇬🇧

Piasecki won the Florence Marathon on her debut at the distance in 2:25:29.

Voting closes at 12:00pm CET on Monday 16 December.

[Ben Goldacre @bengoldacre]

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[Ben Goldacre @bengoldacre]

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[Alex Matthews @alexggmatthews]

When I moved to machine learning 11 years ago I thought I was done with quantum physics. Funny how things work out! Work with the exceptional @pfau @exp_n and Matthew Foulkes.

[James Spencer @exp_n]

@pfau @alexggmatthews Now I know *almost* nothing about machine learning. A fair exchange?