E. Swann

发表

Efficient protocol for quantum Monte Carlo calculations of hydrogen abstraction barriers: Application to methanol

M. Coote, A. Barnard, E. Swann, 2017 .

Bias-Free Chemically Diverse Test Sets from Machine Learning.

M. Coote, A. Barnard, Michael Fernández, 2017, ACS combinatorial science.

Representing molecular and materials data for unsupervised machine learning

Amanda S. Barnard, E. Swann, B. Sun, 2018 .

Reliable radical stabilization energies from diffusion Monte Carlo calculations

Manolo C Per, Emily K Fletcher, Ellen T Swann, 2020, J. Comput. Chem..