Ming-Chiang Chang

I am a PhD candidate in Material Science and Engineering at Cornell University working with Prof. Mike Thompson. My research focuses on using artificial intelligent and machine learning methods, especially active learning, to accelerate material discovery and developing methods for assisting autonomous high-throughput experiment. I am currently looking for a summer internship in 2024 or a full-time position on materials-related AI research.

Selected Publications

NAT COMM

Fast growth of large-grain and continuous MoS2 films through a self-capping vapor-liquid-solid method

Chang, Ming-Chiang, Ho, Po-Hsun, Tseng, Mao-Feng, Lin, Fang-Yuan and 7 more authors

Nature communications 2020

Bib

@article{chang2020fast,
  title = {Fast growth of large-grain and continuous MoS2 films through a self-capping vapor-liquid-solid method},
  author = {Chang, Ming-Chiang and Ho, Po-Hsun and Tseng, Mao-Feng and Lin, Fang-Yuan and Hou, Cheng-Hung and Lin, I and Wang, Hsin and Huang, Pin-Pin and Chiang, Chun-Hao and Yang, Yueh-Chiang and others},
  journal = {Nature communications},
  volume = {11},
  number = {1},
  pages = {1--9},
  year = {2020},
  publisher = {Nature Publishing Group},
}

SCI ADV

Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams

Ament, Sebastian, Amsler, Maximilian, Sutherland, Duncan R, Chang, Ming-Chiang and 6 more authors

Science Advances 2021

Bib

@article{ament2021autonomous,
  title = {Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams},
  author = {Ament, Sebastian and Amsler, Maximilian and Sutherland, Duncan R and Chang, Ming-Chiang and Guevarra, Dan and Connolly, Aine B and Gregoire, John M and Thompson, Michael O and Gomes, Carla P and van Dover, R Bruce},
  journal = {Science Advances},
  volume = {7},
  number = {51},
  pages = {eabg4930},
  year = {2021},
  publisher = {American Association for the Advancement of Science},
}

JMCA

High throughput identification of complex rutile alloys for the acidic oxygen evolution reaction

Zhou, Lan, Shinde, Aniketa, Chang, Ming-Chiang, Dover, R Bruce and 2 more authors

Journal of Materials Chemistry A 2023

Bib

@article{zhou2023high,
  title = {High throughput identification of complex rutile alloys for the acidic oxygen evolution reaction},
  author = {Zhou, Lan and Shinde, Aniketa and Chang, Ming-Chiang and van Dover, R Bruce and Thompson, Michael O and Gregoire, John M},
  journal = {Journal of Materials Chemistry A},
  volume = {11},
  number = {46},
  pages = {25262--25267},
  year = {2023},
  publisher = {Royal Society of Chemistry},
}

ARXIV

Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research

Chang, Ming-Chiang, Ament, Sebastian, Amsler, Maximilian, Sutherland, Duncan R and 5 more authors

arXiv preprint arXiv:2308.07897 2023

Bib

@article{chang2023probabilistic,
  title = {Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research},
  author = {Chang, Ming-Chiang and Ament, Sebastian and Amsler, Maximilian and Sutherland, Duncan R and Zhou, Lan and Gregoire, John M and Gomes, Carla P and van Dover, R Bruce and Thompson, Michael O},
  journal = {arXiv preprint arXiv:2308.07897},
  year = {2023},
}