Retraction
Phase transitions, percolation, fracture of materials, and deep learning
Paper Information
Record ID:
33352
Journal:
Publication Date:
July 14, 2020
Retraction Date:
October 05, 2021
(4.1 years years ago)
Subjects:
Institutions:
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California 90089-1211, USA
- Department of Petroleum Engineering, University of Wyoming, Laramie, Wyoming 82071, USA
- Department of Chemical Engineering, University of Texas of the Permian Basin, Odessa, Texas 79762, USA
Country:
🇺🇸 United StatesArticle Type:
Publisher:
American Physical Society
Open Access:
Yes
PubMed ID:
Retraction PubMed ID:
Retraction Details
Citations (9)
9
Total Citations4
Post-Retraction(44.4%)
4
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
1
Within 1 year
3
After 2+ years
1304
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Paper citing Phase transitions, percolation, fracture of materi...
Unknown Authors
Unknown Journal
Published: May 2025
1304 days after retraction
Spatiotemporal prediction of solidified dendrites based on convolutional long-short-term neural network
Hong Mao, Chenyang Xie, Jingwen Pan et al. (8 authors)
Materials Today Communications
Published: Oct 2024
1092 days after retraction
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov et al. (5 authors)
Polymers
Open Access
Published: Sep 2024
13 citations
13 citations
1075 days after retraction
Prediction of Low-Permeability Reservoirs Performances Using Long and Short-Term Memory Machine Learning
Guowei Zhu, Kangliang Guo, Haoran Yang et al. (5 authors)
Fluid dynamics & materials processing
Open Access
Published: Jan 2022
88 days after retraction
Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning
Serveh Kamrava, Pejman Tahmasebi, Muhammad Sahimi
Journal of Membrane Science
Published: Jan 2021
40 citations
40 citations
267 days before retraction
Accelerating geostatistical modeling using geostatistics-informed machine Learning
Tao Bai, Pejman Tahmasebi
Computers & Geosciences
Open Access
Published: Nov 2020
26 citations
26 citations
328 days before retraction
Efficient and data-driven prediction of water breakthrough in subsurface systems using deep long short-term memory machine learning
Tao Bai, Pejman Tahmasebi
Computational Geosciences
Published: Sep 2020
21 citations
21 citations
378 days before retraction
Physics informed machine learning: Seismic wave equation
Sadegh Karimpouli, Pejman Tahmasebi
Geoscience Frontiers
Open Access
Published: Aug 2020
127 citations
127 citations
426 days before retraction
Quick Stats
Total Citations:
9
Years Since Retraction:
4.1 years
Open Access:
Yes
Last Checked:
Jul 24, 2025