@olexandr One thing is the politics, but another is that this app simply sucks. Even if I was never particularly active, I used to discover new papers every week when the logo was a bird. Not anymore.
Peter's work on generating structures using a GAN with a short-sighted critic is out in @MLSTjournal. LoGAN: local generative adversarial network for novel structure prediction https://t.co/vNY1MuqEge
Heute dürfen wir gleich dreifach gratulieren: Esther Heid, Florian Glöcklhofer und Marco De Paoli erhalten hochdotierte ERC Starting-Grants. Wir freuen uns mit ihnen! 🥳
https://t.co/C4fIWawgwY
@taylordsparks I'll definitely listen to this! "The making of the atomic bomb" is one of the most fascinating books I've read. Rhodes is very good at telling the side stories of all the characters involved, but I think even he missed Wilhelm's contribution.
Looking forward to meeting old friends at the W2k workshop (https://t.co/uLifKrFUIg) this week. I haven't been to the @ictpnews before, so I'm looking forward to that as well.
1/n: There are some academic papers that are so brilliantly and so accessibly written and so universal in scope that they transcend disciplines and stand as timeless testaments to both great thinking and great writing. Here's a short personal selection:
Nico's work on combining neural-network force fields and nested sampling for predictive phase diagrams is out as an editors' suggestion in @PhysRevMater. Very enjoyable collaboration with @lbpartay
Research from @tu_wien, @unizar, and @uniofwarwick combines #neural_network models with nested sampling to accurately predict #silicon's low-pressure phase diagram, reproducing the melting line and identifying stable structures! https://t.co/imSOky5tSF