Magnetic hysteresis modeling with neural operators

A Chandra, B Daniels, M Curti, K Tiels… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Hysteresis modeling is crucial to comprehend the behavior of magnetic devices, facilitating
optimal designs. Hitherto, deep learning-based methods employed to model hysteresis, face …

Chemical waves in reaction-diffusion networks of small organic molecules

A Paikar, X Li, L Avram, BS Smith, I Sütő, D Horváth… - Chemical …, 2025 - pubs.rsc.org
Chemical waves represent one of the fundamental behaviors that emerge in nonlinear, out-
of-equilibrium chemical systems. They also play a central role in regulating behaviors and …

Solving the Kinetic Ising Model with Non-Reciprocity

G Weiderpass, M Sharma, S Sethi - arXiv preprint arXiv:2410.23615, 2024 - arxiv.org
Non-reciprocal interactions are a generic feature of non-equilibrium systems. We define a
non-reciprocal generalization of the kinetic Ising model in one spatial dimension. We solve …

An Exact Solution for the Kinetic Ising Model with Non-Reciprocity

G Weiderpass, M Sharma, S Sethi - arXiv preprint arXiv:2411.00059, 2024 - arxiv.org
A wide range of non-equilibrium phenomena in nature involve non-reciprocal interactions.
To understand the novel behaviors that can emerge in such systems, finding tractable …

Non-reciprocal breathing solitons

M Brandenbourger, O Gamayun, J Veenstra… - arXiv preprint arXiv …, 2024 - arxiv.org
Breathing solitons consist of a fast beating wave within a compact envelope of stable shape
and velocity. They manifest themselves in a variety of contexts such as plasmas, optical …

[HTML][HTML] Harnessing Machine Learning to Guide Scientific Understanding

S Dillavou - Physics, 2024 - APS
Figure 1: There are many approaches for understanding a physical phenomenon, where
cause 𝛼 creates an effect 𝛽.(a) Uncontrolled observations prompt a loose connection …