QiankunNet-Solid/DMET: a generative neural network quantum state method for solid material simulations

Authors

Honghui Shang (ORCID: https://orcid.org/0000-0003-4957-4251)
Huan Ma (ORCID: https://orcid.org/0000-0002-7784-1620)
Jinlong Yang (ORCID: https://orcid.org/0000-0002-5651-5340)
Lizhong Fu (ORCID: https://orcid.org/0009-0000-4463-2454)

Publication Details

Journal: Chinese Science Bulletin (Chinese Version)
Published: 2025-06-08
DOI: https://doi.org/10.1360/csb-2025-0315
Citations: 2
Primary Topic: Computational Physics and Python Applications
Type: article
Field-Weighted Citation Impact: 4.96

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

QiankunNet-Solid/DMET: a generative neural network quantum state method for solid material simulations

Honghui Shang, Huan Ma, Jinlong Yang, Lizhong Fu

Jun 8, 2025

2 citations

Chinese Science Bulletin (Chinese Version)

Computational Physics and Python Applications

4.96

article

QiankunNet-Solid/DMET: a generative neural network quantum state method for solid material simulations

Honghui Shang, Huan Ma, Jinlong Yang, Lizhong Fu

June 8, 2025article en

2 citations

Abstract

No abstract available for this paper.

Chinese Science Bulletin (Chinese Version)Vol. 70(24)

Openalex Percentile: Top 5%

Computational Physics and Python Applications

4.96

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

QiankunNet-Solid/DMET: a generative neural network quantum state method for solid material simulations — Honghui Shang, Huan Ma, et al. · Chinese Science Bulletin (Chinese Version) (2025) | TGRS Research Map | TGRS