Publications

15 results

15 results

2022

Minhuan Li and Doeke R. Hekstra. 2022. “Towards Automated Crystallographic Structure Refinement With a Differentiable Pipeline”. In Machine Learning for Structural Biology Workshop, NeurIPS. New Orleans
Minhuan Li and Doeke R. Hekstra. 2022. “Towards Automated Crystallographic Structure Refinement With a Differentiable Pipeline”. In Machine Learning for Structural Biology Workshop, NeurIPS. New Orleans
Kevin M. Dalton and Doeke R. Hekstra. 2022. “Online Inference of Structure Factor Amplitudes for Serial X-Ray Crystallography”. In Machine Learning for Structural Biology Workshop, NeurIPS. New Orleans
Kevin M. Dalton and Doeke R. Hekstra. 2022. “Online Inference of Structure Factor Amplitudes for Serial X-Ray Crystallography”. In Machine Learning for Structural Biology Workshop, NeurIPS. New Orleans

2021

Jack Greisman, Kevin Dalton, and Doeke Hekstra. 2021. “Reciprocalspaceship: A Python Library for Crystallographic Data Analysis”. Journal of Applied Crystallography, 54, 5. doi:10.1101/2021.02.03.429617
Jack Greisman, Kevin Dalton, and Doeke Hekstra. 2021. “Reciprocalspaceship: A Python Library for Crystallographic Data Analysis”. Journal of Applied Crystallography, 54, 5. doi:10.1101/2021.02.03.429617