William T. Heller

According to our database, William T. Heller authored at least 5 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

drtsans: The data reduction toolkit for small-angle neutron scattering at Oak Ridge National Laboratory.

William T. Heller, John Hetrick, Jean Bilheux, Jose M. Borreguero Calvo, Wei-Ren Chen, Lisa DeBeer-Schmitt, Changwoo Do, Mathieu Doucet, Michael R. Fitzsimmons, William F. Godoy, Garrett E. Granroth, Steven Hahn, Lilin He, Fahima Islam, Jiao Lin, Kenneth C. Littrell, Marshall T. McDonnell, Jesse McGaha, Peter F. Peterson, Sai Venkatesh Pingali, Shuo Qian, Andrei T. Savici, Yingrui Shang, Christopher B. Stanley, Volker S. Urban, Ross E. Whitfield, Chen Zhang, Wenduo Zhou, Jay Jay Billings, Matthew J. Cuneo, Ricardo M. Ferraz Leal, Tianhao Wang, Bin Wu

SoftwareX, 2022

2021

<i>Sas-temper</i>: Software for fitting small-angle scattering data that provides automated reproducibility characterization.

William T. Heller, Mathieu Doucet, Richard K. Archibald

SoftwareX, 2021

Machine learning for neutron scattering at ORNL.

Mathieu Doucet, Anjana M. Samarakoon, Changwoo Do, William T. Heller, Richard Archibald, D. Alan Tennant, Thomas Proffen, Garrett E. Granroth

Mach. Learn. Sci. Technol., 2021

Machine learning for neutron reflectometry data analysis of two-layer thin films.

Mathieu Doucet, Richard K. Archibald, William T. Heller

Mach. Learn. Sci. Technol., 2021

2017

Evolving Deep Networks Using HPC.

Steven R. Young, Derek C. Rose, J. Travis Johnston, William T. Heller, Thomas P. Karnowski, Thomas E. Potok, Robert M. Patton, Gabriel N. Perdue, Jonathan A. Miller

Proceedings of the Machine Learning on HPC Environments, 2017