Jacobus Dijkman
@jdijkman.bsky.social
Infusing statistical physics with machine learning to describe molecular fluids.
PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
Reposted by Jacobus Dijkman
🤹 Excited to share Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
March 5, 2025 at 6:04 PM
🤹 Excited to share Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
joint work with @wellingmax.bsky.social and @jwvdm.bsky.social
preprint: arxiv.org/abs/2502.17019
code: github.com/maxxxzdn/erwin
🚨 Excited to share our work just published in Physical Review Letters with @wellingmax.bsky.social, @jwvdm.bsky.social, @berndensing.bsky.social, Marjolein Dijkstra and René van Roij: doi.org/10.1103/Phys....
Details below 👇
Details below 👇
Learning Neural Free-Energy Functionals with Pair-Correlation Matching
The intrinsic Helmholtz free-energy functional, the centerpiece of classical density functional theory, is at best only known approximately for 3D systems. Here we introduce a method for learning a ne...
doi.org
February 13, 2025 at 9:21 AM
🚨 Excited to share our work just published in Physical Review Letters with @wellingmax.bsky.social, @jwvdm.bsky.social, @berndensing.bsky.social, Marjolein Dijkstra and René van Roij: doi.org/10.1103/Phys....
Details below 👇
Details below 👇