collaborators

7 papers

cond-mat.mtrl-sci2026

Let CSP Be Your ANCHOR: Adaptive Crystal Search over Frozen Structure Priors

Emma Lei Hovmand, Jonas Elsborg, Melih Kandemir +1

De novo crystal generation (DNG) models decide where to search in composition space and how to generate structures with one set of weights. We argue that discovery is better served…

cond-mat.dis-nn2026

Improved Learning of Molecular Energetics Through an Electron-Wise Joint Charge Density and Energy Objective

Vadim Ionas, Jonas Elsborg, Felix Ærtebjerg +1

We present a graph neural network-based learning framework trained to jointly predict electron densities and molecular energies. The model is trained to predict electron densities…

cond-mat.mtrl-sci2026

Complete Neural Electronic Initialization Accelerates Materials DFT

Felix Ærtebjerg, Jonas Elsborg, Arghya Bhowmik

We present the first complete machine learning method for accelerating plane-wave density functional theory (DFT) in materials under the projector augmented wave (PAW) formalism. W…

cond-mat.mtrl-sci2026

Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink

Jonas Elsborg, Felix Ærtebjerg, Luca Thiede +3

We introduce ELECTRAFI, a fast, end-to-end differentiable model for predicting periodic charge densities in crystalline materials. ELECTRAFI constructs anisotropic Gaussians in rea…

cond-mat.mtrl-sci2025

Reinforcement Learning for Chemical Ordering in Alloy Nanoparticles

Jonas Elsborg, Emma L. Hovmand, Arghya Bhowmik

We approach the search for optimal element ordering in bimetallic alloy nanoparticles (NPs) as a reinforcement learning (RL) problem and have built an RL agent that learns to perfo…

cs.SD2025

Acoustic Classification of Maritime Vessels using Learnable Filterbanks

Jonas Elsborg, Tejs Vegge, Arghya Bhowmik

Reliably monitoring and recognizing maritime vessels based on acoustic signatures is complicated by the variability of different recording scenarios. A robust classification framew…

cs.LG2025

ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals

Jonas Elsborg, Luca Thiede, Alán Aspuru-Guzik +2

We present the Electronic Tensor Reconstruction Algorithm (ELECTRA) - an equivariant model for predicting electronic charge densities using floating orbitals. Floating orbitals are…