Understanding structural adaptability: a reactant informatics approach to experiment design' involves the use of machine learning to better understand structural and electronic adaptability in a vanadium selenite later topology

Authors

Rosalind J. Xu 18, Class of 2018, Haverford College
Jacob H. Olshansksy '12, Class of 2012, Haverford College
Yuheng Huang '19, Class of 2019, Haverford College
Matthew D. Smith '16, Class of 2016, Haverford College
Joshua Schrier, Haverford College
Alexander J. Norquist, Haverford CollegeFollow

Document Type

Journal Article

Role

Author

Journal Title

Molecular Systems Design & Engineering

Volume

3

Issue

3

First Page

473

Last Page

484

Publication Date

2018

Repository Citation

Xu, Rosalind; Oshlansky, Jacob H.; Huang, Y.; Smith, Matthew D.; Schrier, Joshua; Norquist, Alexander J. (2018).''Molecular Systems Design & Engineering'' Understanding structural adaptability: a reactant informatics approach to experiment design' involves the use of machine learning to better understand structural and electronic adaptability in a vanadium selenite later topology 3 (3): 473-484