skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Model approach to solving the inverse problem of X-ray reflectometry and its application to the study of the internal structure of hafnium oxide films

Journal Article · · Crystallography Reports
;  [1];  [2];  [1]
  1. Russian Academy of Sciences, Shubnikov Institute of Crystallography (Russian Federation)
  2. St. Petersburg State University, Fock Institute of Physics (Russian Federation)

The key features of the inverse problem of X-ray reflectometry (i.e., the reconstruction of the depth profile of the dielectric constant using an experimental angular dependence of reflectivity) are discussed and essential factors leading to the ambiguity of its solution are analyzed. A simple approach to studying the internal structure of HfO{sub 2} films, which is based on the application of a physically reasonable model, is considered. The principles for constructing a film model and the criteria for choosing a minimal number of fitting parameters are discussed. It is shown that the ambiguity of the solution to the inverse problem is retained even for the simplest single-film models. Approaches allowing one to pick out the most realistic solution from several variants are discussed.

OSTI ID:
22156458
Journal Information:
Crystallography Reports, Vol. 58, Issue 1; Other Information: Copyright (c) 2013 Pleiades Publishing, Ltd.; Country of input: International Atomic Energy Agency (IAEA); ISSN 1063-7745
Country of Publication:
United States
Language:
English

Similar Records

A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems
Journal Article · Fri Dec 01 00:00:00 EST 2017 · IEEE Signal Processing Letters · OSTI ID:22156458

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker--Planck Equation and Physics-Informed Neural Networks
Journal Article · Mon Jun 28 00:00:00 EDT 2021 · SIAM Journal on Scientific Computing · OSTI ID:22156458

Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning
Journal Article · Fri Nov 20 00:00:00 EST 2020 · JOM. Journal of the Minerals, Metals & Materials Society · OSTI ID:22156458