#compchem Second preprint linked to the FeNNix-Bio1 #machinelearning foundation model. FeNNix-Bio1's inference is pretty fast already with a few GPUs but, "what if", we were able to push it at the #Exascale? Let's have a glimpse into the future (1/3):
"Pushing the Accuracy Limit of Foundation Neural Network Models with Quantum Monte Carlo Forces and Path Integrals"
Check it out 💫: https://t.co/4TsMVcuhQz
We propose an end-to-end integrated strategy to produce highly accurate quantum chemistry synthetic datasets (energies and forces) aimed at deriving Foundation Machine Learning models for molecular simulation. Starting from Density Functional Theory (DFT), a "Jacob's Ladder" approach leverages computationally-optimized layers of massively #GPU-accelerated software with increasing accuracy. Thanks to Exascale, this is the first time that the computationally intensive calculation of Quantum Monte Carlo forces (QMC), and the combination of multi-determinant QMC energies and forces with selected-Configuration Interaction wavefunctions, are computed at such scale at the complete basis-set limit. To bridge the gap between accurate QC and condensed-phase Molecular Dynamics, we leverage transfer learning to improve the DFT-based FeNNix-Bio1 foundation model.
🚀The resulting approach is coupled to path integrals adaptive sampling quantum dynamics to perform nanosecond reactive simulations at unprecedented accuracy on a full Satellite Tobacco Mosaic Virus (STMV) 1M, all-atom, complete solvated model (see the video produced using @VTX_mol, @MaximeMARIA_@MatthieuMontes ). These results demonstrate the promise of Exascale to deepen our understanding of the inner machinery of complex biosystems.
Immense thanks to all co-authors at @qubit_pharma, @LCT_UMR7616 (@Sorbonne_Univ_ /@CNRS ), @UChicago, @SandiaLabs, @ORNL and @argonne for this collaborative efforts. Some are on X: @QMC_Anouar@Thomas__Ple@OlivierApp@EPosenitskiy@blazhynska66497@ApplencourtT@JeongnimK #HPC
This work was made possible thanks to #INCITE projects enabling the use of Argonne's Aurora exascale system and of the Polaris machine, to @Genci_fr (Jean Zay @ Idris) and @EuroHPC_JU (Leonardo @Cineca1969). #supercomputing
It’s possible to rewrite a certain kind of complicated mathematical function as a combination of simpler ones. This discovery, made in 1957 by Andrey Kolmogorov (left) and Vladimir Arnold (right), is at the heart of a new network architecture that could make AI easier to study and understand. https://t.co/Tj0oRA9ZXe
Garrincha was a Brazilian football player considered by many to be the best right winger in the history of the sport. An imaginative and skillful dribbler, he starred along with Pelé and Didí on the Brazilian national teams that won the World Cup in 1958 and 1962.
The Hylleraas Annual Report for 2023 is now out! The Centre activity was at a record high last year, not only in terms of scientific publications but also in terms of meetings and events. More info and link to the report PDF here: https://t.co/pucOUsv3G4