Paul Kienzle

Publications

Information Gain from Isotopic Contrast Variation in Neutron Reflectometry on Protein-Membrane Complex Structures

June 1, 2020

Author(s)

Frank Heinrich, Paul Kienzle, David P. Hoogerheide, Mathias Loesche

We apply a framework to quantify information gain from neutron or x-ray reflectometry experiments (Treece et al., 2019), in an in-depth investigation into the

Structural Investigations of Membrane-Associated Proteins by Neutron Reflectometry

July 1, 2019

Author(s)

Rebecca Eells, David Paul Hoogerheide, Paul Kienzle, Mathias Loesche, Charles F. Majkrzak, Frank Heinrich

Neutron reflectometry is a powerful technique for probing the structure of lipid bilayer membranes and membrane-associated proteins. Measurements of the

Optimization of Reflectometry Experiments using Information Theory

February 1, 2019

Author(s)

Bradley W. Treece, Paul A. Kienzle, David P. Hoogerheide, Charles F. Majkrzak, Peter M. Loesche, Frank Heinrich

A method based on Bayesian statistics and information theory is developed to analyze the information gain {Δ}H of surface-sensitive reflectometry experiments

reductus: A Stateless Python Data-Reduction Service with a Browser Frontend

October 1, 2018

Author(s)

Brian B. Maranville, William D. Ratcliff, Paul A. Kienzle

The online data reduction service reductus transforms measurements in experimental science from laboratory coordinates into physically meaningful quantities

Nanolayer Analysis by Neutron Reflectometry

July 18, 2017

Author(s)

Joseph A. Dura, Eric Daniel Rus, Paul Kienzle, Brian B. Maranville

Neutron reflectometry offers unique benefits for nanolayer research in green chemistry by providing accurate depth profiles of thin films and interfaces with

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