Skip to main content
What types of page to search?

Alternatively use our A-Z index.

Dmytro Antypov

Dr Dmytro Antypov

Research Fellow, Leverhulme Centre for Functional Material Design
Chemistry

Publications

What type of publication do you want to show?

2025

Discovering trends in big data: general discussion.

Albornoz, R. V., Antypov, D., Blanke, G., Borges, I., Marulanda Bran, A., Cheung, J., . . . Wu, R. (2025). Discovering trends in big data: general discussion.. Faraday discussions, 256(0), 520-550. doi:10.1039/d4fd90063d

DOI
10.1039/d4fd90063d
Journal article

Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics

Moran, M., Gaultois, M. W., Gusev, V. V., Antypov, D., & Rosseinsky, M. J. (n.d.). Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics. Digital Discovery, 4(3), 790-811. doi:10.1039/d4dd00202d

DOI
10.1039/d4dd00202d
Journal article

2024

Recognition and order of multiple sidechains by metal–organic framework enhances the separation of hexane isomers

Markad, D., Kershaw Cook, L. J., Pétuya, R., Yan, Y., Gilford, O., Verma, A., . . . Rosseinsky, M. J. (2024). Recognition and order of multiple sidechains by metal–organic framework enhances the separation of hexane isomers. Angewandte Chemie, 136(50). doi:10.1002/ange.202411960

DOI
10.1002/ange.202411960
Journal article

Accelerating metal–organic framework discovery <i>via</i> synthesisability prediction: the MFD evaluation method for one-class classification models

Zhang, C., Antypov, D., Rosseinsky, M. J., & Dyer, M. S. (n.d.). Accelerating metal–organic framework discovery <i>via</i> synthesisability prediction: the MFD evaluation method for one-class classification models. Digital Discovery, 3(12), 2509-2522. doi:10.1039/d4dd00161c

DOI
10.1039/d4dd00161c
Journal article

Accelerating Metal-Organic Framework Discovery via Synthesisability Prediction: The MFD Evaluation Method for One-Class Classification Models

DOI
10.26434/chemrxiv-2024-tlmp4
Preprint
  1. 1
  2. 2
  3. 3
  4. ...
  5. 8