Accepted Papers

Learning activator-inhibitor dynamics at the cell cortex with neural likelihood ratio estimation

Ondrej Maxian, Edwin Munro, and Aaron R. Dinner

Accepted 16 September, 2026

Detailed balance in large language model-driven agents

Zhuo-Yang Song, Qing-Hong Cao, Ming-xing Luo, and Hua Xing Zhu

Accepted 15 September, 2026

LARA-HPC: Validation-driven agentic supercomputer workflows for atomistic modeling

William Dawson, Louis Beal, Yoann Curé, Giuseppe Fisicaro, Dorian Rolland, and Luigi Genovese

Accepted 15 September, 2026

Interpretable artificial intelligence analysis of strongly correlated electrons

Changkai Zhang and Jan von Delft

Accepted 15 September, 2026

Dressing composite fermions with artificial intelligence

Mytraya Gattu

Accepted 15 September, 2026

Attention is not all you need for diffraction

Elizabeth J. Baggett, Edward G. Friedman, Abhishek Shetty, Derrick Chan-Sew, Vanellsa Acha, Harshita Dwarcherla, Paul Kienzle, and William Ratcliff

Accepted 9 September, 2026

Transformer neural-network quantum states for lattice models of spins and fermions: Application to the ancilla layer model

Riccardo Rende, Alexander Nikolaenko, Luciano Loris Viteritti, Subir Sachdev, and Ya-Hui Zhang

Accepted 8 September, 2026

Fidelity of machine-learned potentials: Quantitative assessment for protonated oxalate

Chen Qu, Paul L. Houston, Qi Yu, Apurba Nandi, Joel M. Bowman, Valerii Andreichev, Silvan Käser, and Markus Meuwly

Accepted 2 September, 2026

Probabilistic denoising for reliable signal extraction in spectroscopy

Younsik Kim and Changyoung Kim

Accepted 31 August, 2026

: Transferring particle physics knowledge across the cosmos

Vinicius Mikuni, Ibrahim Elsharkawy, and Benjamin Nachman

Accepted 24 August, 2026

Data-driven discovery of high-dimensional dynamical systems with sparse interpretable neural networks

Siyuan Xing, Qingyu Han, Efstathios G. Charalampidis, and Ying-Cheng Lai

Accepted 19 August, 2026

Scientific machine learning of chaotic systems learns reduced-order equations for neural populations

Anthony G. Chesebro, David Hofmann, Vaibhav Dixit, Earl K. Miller, Richard H. Granger, Alan Edelman, Christopher V. Rackauckas, Lilianne R. Mujica-Parodi, and Helmut H. Strey

Accepted 13 August, 2026

Pareto frontier of neural quantum states: Scalable, affordable, and accurate convolutional backflow for strongly correlated lattice fermions

Yuntian Gu, Zeyao Han, Wenrui Li, Zhiyu Xiao, Tao Xiang, Mingpu Qin, Liwei Wang, and Dingshun Lv

Accepted 11 August, 2026

project: Deep knowledge artificial intelligence agents for scientific discovery

Francisco Villaescusa-Navarro et al.

Accepted 4 August, 2026

Near-equilibrium propagation training in nonlinear wave systems

Karol Sajnok and Michał Matuszewski

Accepted 4 August, 2026

Automated structure discovery for tip-enhanced Raman spectroscopy

Harshit Sethi, Markus Junttila, Orlando J. Silveira, and Adam S. Foster

Accepted 4 August, 2026

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