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19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

1,884 papers

physics.flu-dyn2026

Thermal convection in one, two, three and four dimensions

Ambrish Pandey, Harshit Tiwari, Katepalli R. Sreenivasan

We study by means of direct numerical simulations the influence of the dimensionality of convection on flow properties. We call attention to a few general principles from consideri…

quant-ph2026

Bistability of Exciton-Photon Microcavities in the Ultrastrong-Coupling Regime

Rashed Aljasmi, Hisham Sati, Hichem Eleuch

We investigate a coherently driven exciton--photon microcavity with Kerr nonlinearity in the ultrastrong-coupling regime. When the lower and upper polariton branches are well separ…

math.NA2026

Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data

Sean Reiter, Steffen W. R. Werner

Data-driven reduced-order modeling is an essential component in the computer-aided design of control systems. In this work, we present a novel symmetric Hermite formulation of the…

cs.LG2026

Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health

Donna Tjandra, Trenton Chang, Sonali Parbhoo +8

Objective: The growing availability of large-scale observational clinical datasets and challenges in conducting randomized controlled trials have spurred enthusiasm in using causal…

physics.ao-ph2026

FloeNet: A mass-conserving global sea ice emulator that generalizes across climates

William Gregory, Mitchell Bushuk, James Duncan +8

We introduce FloeNet, a machine-learning emulator trained on the Geophysical Fluid Dynamics Laboratory global sea ice model, SIS2. FloeNet is a mass-conserving model, emulating 6-h…

physics.plasm-ph2025

Permanent magnet optimization of stellarators with coupling from finite permeability and demagnetization effects

Armin Ulrich, Mason Haberle, Alan A. Kaptanoglu

Permanent magnets provide an attractive path for shaping university-scale stellarator magnetic fields. Previous work has shown that greedy permanent magnet optimization (GPMO) can…