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Publication: (Behbahani et al 2026) - From single-chain dynamics to...
Molecular dynamics trajectories, scripts, and dynamic density functional code related to the publication. -
Publication: Siebers et al (2024) - Collective Hall current in chiral active...
Data related to publication -
Publication: Bebon, Speck (2026) - Mutual Linearity Is a Generic Property of...
Data related to the publication -
Publication: Ben Gozlen et al (2025) - Continuum Modeling and Numerical...
This paper presents a two-fluid model to simulate the behavior of uniformly oriented active suspensions in curved annular channels. Active suspensions consist of self-propelled... -
Publication: Deußen et al (2022) - A deterministic two-phase model for an...
. The suspension consists of a Newtonian fluid and multiple identical active, non-spherical Janus particles. The volume-averaged mass, linear momentum, angular momentum, and... -
Publication: Ben Gozlen et al (2024) - A mixture theory formulation for...
We model an active suspension using the mixture theory. The suspension consists of a linear viscous liquid infused with multiple identical self‐propelled active particles. The... -
Publication: Behbahani (2026) - Stress Relaxation in Monodisperse Entangled...
Scripts and trajectories related to the publication -
Publication: Behbahani, Schmid (2024) - Relaxation dynamics of entangled...
LAMMPS molecular dynamics trajectories related to Alireza F. Behbahani and Friederike Schmid, “Relaxation Dynamics of Entangled Linear Polymer Melts via Molecular Dynamics... -
Preprint: (Post et al 2026) - Ab initio parametrization of distributed...
We propose a first-principles based parameterization procedure for atomic polarizability tensors and scalars, validated on a set of small set of organic molecules with... -
Publication: (Filling et al 2025) - Direct Molecular Polarizability...
The paper describes a graph neural network architecture that uses local frames to predict local geometric properties.. -
Franzen, Wand (NeurIPS 21) - General Nonlinearities in SO(2)-Equivariant...
Handling general nonlinearities in group-convolutional networks with SO(2)-invariance. -
Publication: Franzen et al (2026) - Discretizing Group-Convolutional Neural...
A paper that describes how to speed-up deep learning on 3D point clouds with (G-)CNNs by compressing its linear representation layers by a local partial symmetry analysis. -
Publication: Filling et al (2026) - Tensor Channel Equivariant Graph Neural...
This paper improves upon the previous paper published at the NeurIPS '25 ML4PhysicalScience-Workshop by using overcomplete generating sets rather than a basis to represent local...