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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
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
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
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
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