Advances in two-phase flow and heat transfer using physics-informed neural networks

Authors

Jiaming Tian
Biao Li (ORCID: https://orcid.org/0000-0002-8952-1990)
Song Liu (ORCID: https://orcid.org/0009-0003-0941-6619)
Yiran Duan (ORCID: https://orcid.org/0009-0000-3004-0001)
Yueshe Wang

Publication Details

Journal: Chinese Science Bulletin (Chinese Version)
Published: 2025-11-13
DOI: https://doi.org/10.1360/csb-2025-5354
Primary Topic: Model Reduction and Neural Networks
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Advances in two-phase flow and heat transfer using physics-informed neural networks

Jiaming Tian, Biao Li, Song Liu, Yiran Duan et al.

Nov 13, 2025

Chinese Science Bulletin (Chinese Version)

Model Reduction and Neural Networks

article

Advances in two-phase flow and heat transfer using physics-informed neural networks

Jiaming Tian, Biao Li, Song Liu, Yiran Duan, Yueshe Wang

November 13, 2025article en

Abstract

No abstract available for this paper.

Chinese Science Bulletin (Chinese Version)Vol. 71(8)

Openalex Percentile: Top 73%

Model Reduction and Neural Networks

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.

Advances in two-phase flow and heat transfer using physics-informed neural networks — Jiaming Tian, Biao Li, et al. · Chinese Science Bulletin (Chinese Version) (2025) | TGRS Research Map | TGRS