MAUD

MAUD
Name	MAUD
Developer	Università di Milano-Bicocca; open-source contributors
Released	1990s
Latest release	2020s
Programming language	Java
Operating system	Windows; macOS; Linux
License	GPL (some components)
Website	(see project pages)

MAUD

MAUD is a software package for quantitative analysis of diffraction data widely used in crystallography, materials science, and physics. It integrates profile fitting, Rietveld refinement, texture analysis, and microstructure characterization to interpret diffraction patterns from X-ray, neutron, and electron sources. MAUD connects experimental datasets with models developed by researchers at institutions and facilities worldwide, enabling studies comparable to those performed at European Synchrotron Radiation Facility, Argonne National Laboratory, Brookhaven National Laboratory, CERN, and national laboratories in Japan and Germany.

Overview

MAUD provides tools for whole-pattern fitting, including Rietveld refinement and Pawley/Le Bail approaches, as well as size/strain and texture modeling using the Rietveld formalism. It supports datasets from instruments such as diffractometers at Diamond Light Source, SOLEIL, National Institute of Standards and Technology, and laboratory sources like PANalytical and Bruker. The package is notable for integrating microstructural models—such as crystallite size distributions and dislocation density models—used in studies at Max Planck Institute for Solid State Research, MIT, Stanford University, and Harvard University.

History

MAUD originated in the 1990s from collaborations involving the University of Milan and international crystallographers and materials scientists. Early development drew on theoretical frameworks established by figures associated with Rietveld refinement and texture analysis by researchers linked to Paul Scherrer Institute and Institut Laue-Langevin. Over successive decades the codebase expanded through contributions from academics with affiliations to University of Oxford, University of Cambridge, University of California, Berkeley, and ETH Zurich. MAUD’s development paralleled growth in synchrotron and neutron facilities, integrating methods validated at centers like Oak Ridge National Laboratory and Institut Néel.

Applications

Researchers apply MAUD for phase identification and quantification in studies ranging from alloys investigated at Los Alamos National Laboratory to ceramics developed at Imperial College London. It is used to extract particle size and strain distributions in thin films characterized at Columbia University and University of Tokyo, and to assess texture in rolled metals studied at RWTH Aachen University and National Renewable Energy Laboratory. Industrial applications include quality control workflows in companies such as General Electric and Siemens, and research into energy materials at University of California, San Diego and University of Oxford.

Methodology

MAUD implements the Rietveld method for whole-pattern fitting, combining crystallographic models with instrument profile functions and microstructural broadening kernels. It supports parameterizations derived from work associated with Bergmann-style instrument models and profile functions used at European Spallation Source-related instruments. Texture analysis uses formulations analogous to those applied in studies by researchers affiliated with University of Tennessee and Technical University of Denmark, enabling representation of Orientation Distribution Functions and spherical harmonics expansions notable in publications from University of Leeds and University of Sheffield. Microstrain and size analysis incorporate dislocation models and contrast factors developed by groups at Pennsylvania State University and University of Warwick.

Software and Tools

MAUD is written in Java and distributed with a graphical user interface and scripting capabilities; it interoperates with crystallographic databases and tools such as those from International Centre for Diffraction Data and metadata standards used at Crystallography Open Database. It complements other packages like GSAS-II, FullProf, Topas, and SasView in multi-software workflows adopted by teams at University of Grenoble Alpes and KTH Royal Institute of Technology. Users often combine MAUD with visualization and data-reduction tools developed at APS (Advanced Photon Source), DESY, and software suites from Python Software Foundation-based ecosystems.

Notable Projects and Case Studies

Case studies using MAUD include phase quantification in high-entropy alloys researched at Duke University and National Institute for Materials Science, texture evolution during additive manufacturing at University of Sheffield and ETH Zurich, and in situ operando diffraction studies of battery materials at Argonne National Laboratory and Lawrence Berkeley National Laboratory. MAUD has been employed in neutron diffraction campaigns at Institut Laue-Langevin to study hydrogen storage materials, and in synchrotron experiments at ESRF addressing nanoscale strain mapping in semiconductor heterostructures investigated by teams at Tsinghua University and Purdue University.

Criticisms and Limitations

MAUD’s complexity and rich feature set produce a learning curve emphasized in methodological comparisons by groups at University College London and Australian National University. Some users report limitations in automation and batch-processing relative to scriptable alternatives developed at Argonne National Laboratory and challenges in maintaining reproducible workflows across versions coordinated by contributor communities at GitHub and academic institutions. Interoperability constraints arise when integrating MAUD with bespoke instrument-control software used at facilities such as SPring-8 and Canadian Light Source, requiring conversion steps documented in technical reports from National Synchrotron Light Source II teams.

Category:Diffraction software