Data and code for "Neural network impurity solver for real-frequency dynamical mean-field theory"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Fenglin Deng, Lu Yi, Cao Xiaodong, Zhong Zhicheng
DOI: 10.5281/zenodo.19126173
Cited by: 1

Abstract

This repository contains the training data and code accompanying the manuscript: "Neural network impurity solver for real-frequency dynamical mean-field theory"Fenglin Deng, Yi Lu, Xiaodong Cao, Zhicheng ZhongarXiv:2511.14505 (2025) The dataset includes spectral functions and hybridization functions generated by the complex-time tensor-network impurity solver, used to train and evaluate the neural network impurity solver described in the manuscript. The code provides the training script for reproducing the results.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 March 2026
Language
EN
Document type
Dataset