Personal information

Emails & domains

Verified email addresses

Verified email domains

Keywords

Material Information, Deep Learning, Generative Design, Material Discovery

Countries

China

Activities

Collapse all

Education and qualifications (3)

University of South Carolina: COLUMBIA, SC, US

2021-08-15 to present | Ph.D. (Computer Science and Engineering)
Education
Source: Self-asserted source
Rongzhi Dong

Guizhou University: Guiyang, Guizhou, CN

2018-09-10 to 2021-06-30 | M.S.
Education
Source: Self-asserted source
Rongzhi Dong

China Agricultural University: Beijing, CN

2013-08-27 to 2017-06-30 | B.S.
Education
Source: Self-asserted source
Rongzhi Dong

Works (28)

Realistic material property prediction using domain adaptation based machine learning

Digital Discovery
2024 | Journal article
DOI: 10.1039/D3DD00162H
Contributors: Jeffrey Hu; David Liu; Nihang Fu; Rongzhi Dong
Source: check_circle
Crossref

Generative Design of Inorganic Compounds Using Deep Diffusion Language Models

The Journal of Physical Chemistry A
2024-07-25 | Journal article
DOI: 10.1021/acs.jpca.4c00083
Contributors: Rongzhi Dong; Nihang Fu; Edirisuriya M. D. Siriwardane; Jianjun Hu
Source: check_circle
Crossref

Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study

npj Computational Materials
2024-07-04 | Journal article
DOI: 10.1038/s41524-024-01316-4
Contributors: Sadman Sadeed Omee; Nihang Fu; Rongzhi Dong; Ming Hu; Jianjun Hu
Source: check_circle
Crossref

Deep Learning-Based Prediction of Contact Maps and Crystal Structures of Inorganic Materials

ACS omega
2023 | Journal article
Contributors: Hu, Jianjun; Zhao, Yong; Li, Qin; Song, Yuqi; Dong, Rongzhi; Yang, Wenhui; Siriwardane, Edirisuriya MD
Source: Self-asserted source
Rongzhi Dong

Discovery of 2D materials using Transformer Network based Generative Design

arXiv preprint arXiv:2301.05824
2023 | Journal article
Contributors: Dong, Rongzhi; Song, Yuqi; Siriwardane, Edirisuriya; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Global mapping of structures and properties of crystal materials

Journal of Chemical Information and Modeling
2023 | Journal article
Contributors: Li, Qinyang; Dong, Rongzhi; Fu, Nihang; Omee, Sadman Sadeed; Wei, Lai; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Improving realistic material property prediction using domain adaptation based machine learning

arXiv preprint arXiv:2308.02937
2023 | Journal article
Contributors: Hu, Jeffrey; Hu, David; Fu, Nihang; Dong, Rongzhi
Source: Self-asserted source
Rongzhi Dong

Material transformers: deep learning language models for generative materials design

Machine Learning: Science and Technology
2023 | Journal article
Contributors: Fu, Nihang; Wei, Lai; Song, Yuqi; Li, Qinyang; Xin, Rui; Omee, Sadman Sadeed; Dong, Rongzhi; Siriwardane, Edirisuriya M Dilanga; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Discovery of 2D Materials using Transformer Network‐Based Generative Design

Advanced Intelligent Systems
2023-12 | Journal article
DOI: 10.1002/aisy.202300141
Contributors: Rongzhi Dong; Yuqi Song; Edirisuriya M. D. Siriwardane; Jianjun Hu
Source: check_circle
Crossref

Materials property prediction with uncertainty quantification: A benchmark study

Applied Physics Reviews
2023-06-01 | Journal article
DOI: 10.1063/5.0133528
Contributors: Daniel Varivoda; Rongzhi Dong; Sadman Sadeed Omee; Jianjun Hu
Source: check_circle
Crossref

DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material Composition

ACS Applied Materials & Interfaces
2022 | Journal article
Contributors: Dong, Rongzhi; Zhao, Yong; Song, Yuqi; Fu, Nihang; Omee, Sadman Sadeed; Dey, Sourin; Li, Qinyang; Wei, Lai; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Materials Transformers Language Models for Generative Materials Design: a benchmark study

arXiv preprint arXiv:2206.13578
2022 | Journal article
Contributors: Fu, Nihang; Wei, Lai; Song, Yuqi; Li, Qinyang; Xin, Rui; Omee, Sadman Sadeed; Dong, Rongzhi; Siriwardane, Edirisuriya M Dilanga; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Scalable deeper graph neural networks for high-performance materials property prediction

Patterns
2022 | Journal article
Contributors: Omee, Sadman Sadeed; Louis, Steph-Yves; Fu, Nihang; Wei, Lai; Dey, Sourin; Dong, Rongzhi; Li, Qinyang; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

TCSP: a template-based crystal structure prediction algorithm for materials discovery

Inorganic Chemistry
2022 | Journal article
Contributors: Wei, Lai; Fu, Nihang; Siriwardane, Edirisuriya MD; Yang, Wenhui; Omee, Sadman Sadeed; Dong, Rongzhi; Xin, Rui; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Thermal conductivity prediction with Fully Connected Neural Network

AIIPCC 2022; The Third International Conference on Artificial Intelligence, Information Processing and Cloud Computing
2022 | Conference paper
Contributors: Zhang, Xingxing; Li, Shaobo; Yu, Liya; Dong, Rongzhi; Song, Qisong; Wang, Zhongyu
Source: Self-asserted source
Rongzhi Dong

Alphacrystal: Contact map based crystal structure prediction using deep learning

arXiv preprint arXiv:2102.01620
2021 | Journal article
Contributors: Hu, Jianjun; Zhao, Yong; Song, Yuqi; Dong, Rongzhi; Yang, Wenhui; Li, Yuxin; Siriwardane, Edirisuriya
Source: Self-asserted source
Rongzhi Dong

Chaos analysis and stability control of the MEMS resonator via the type-2 sequential FNN

Microsystem Technologies
2021 | Journal article
Contributors: Zhao, Le; Luo, Shaohua; Yang, Guanci; Dong, Rongzhi
Source: Self-asserted source
Rongzhi Dong

Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors

Computational Materials Science
2021 | Journal article
Contributors: Li, Yuxin; Dong, Rongzhi; Yang, Wenhui; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Contact map based crystal structure prediction using global optimization

CrystEngComm
2021 | Journal article
DOI: 10.1039/D0CE01714K
Contributors: Jianjun Hu; Wenhui Yang; Rongzhi Dong; Yuxin Li; Xiang Li; Shaobo Li; Edirisuriya M. D. Siriwardane
Source: check_circle
Crossref

Crystal structure prediction of materials with high symmetry using differential evolution

Journal of Physics: Condensed Matter
2021 | Journal article
Contributors: Yang, Wenhui; Siriwardane, Edirisuriya M Dilanga; Dong, Rongzhi; Li, Yuxin; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization

Computational Materials Science
2021 | Journal article
Contributors: Dong, Rongzhi; Dan, Yabo; Li, Xiang; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

MLatticeABC: generic lattice constant prediction of crystal materials using machine learning

ACS omega
2021 | Journal article
Contributors: Li, Yuxin; Yang, Wenhui; Dong, Rongzhi; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Scalable deeper graph neural networks for high-performance materials property prediction

arXiv e-prints
2021 | Journal article
Contributors: Sadeed Omee, Sadman; Louis, Steph-Yves; Fu, Nihang; Wei, Lai; Dey, Sourin; Dong, Rongzhi; Li, Qinyang; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.2981874
Contributors: Yabo Dan; Rongzhi Dong; Zhuo Cao; Xiang Li; Chengcheng Niu; Shaobo Li; Jianjun Hu
Source: check_circle
Crossref

Machine learning-based prediction of crystal systems and space groups from inorganic materials compositions

ACS omega
2020 | Journal article
Contributors: Zhao, Yong; Cui, Yuxin; Xiong, Zheng; Jin, Jing; Liu, Zhonghao; Dong, Rongzhi; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning

Symmetry
2020-02-08 | Journal article
DOI: 10.3390/sym12020262
Contributors: Shaobo Li; Yabo Dan; Xiang Li; Tiantian Hu; Rongzhi Dong; Zhuo Cao; Jianjun Hu
Source: check_circle
Crossref

Limited data rolling bearing fault diagnosis with few-shot learning

Ieee Access
2019 | Journal article
Contributors: Zhang, Ansi; Li, Shaobo; Cui, Yuxin; Yang, Wanli; Dong, Rongzhi; Hu, Jianjun
Source: Self-asserted source
Rongzhi Dong

Computational Screening of New Perovskite Materials Using Transfer Learning and Deep Learning

Applied Sciences
2019-12-14 | Journal article
DOI: 10.3390/app9245510
Contributors: Xiang Li; Yabo Dan; Rongzhi Dong; Zhuo Cao; Chengcheng Niu; Yuqi Song; Shaobo Li; Jianjun Hu
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Peer review (9 reviews for 7 publications/grants)

Review activity for Advanced science. (1)
Review activity for Chemical physics letters (1)
Review activity for iScience. (2)
Review activity for Journal of the American Chemical Society. (1)
Review activity for Langmuir : (1)
Review activity for Materials letters. (2)
Review activity for Next materials. (1)
How many people are using ORCID?