Subtopic Deep Dive

Multiple Scattering Theory in XAFS
Research Guide

What is Multiple Scattering Theory in XAFS?

Multiple Scattering Theory in XAFS models wave propagation involving three or more scattering events to refine atomic structures from extended X-ray absorption fine structure data beyond single and double scattering approximations.

This theory extends XAFS analysis by accounting for complex multiple scattering paths in disordered and nanostructured materials. Key implementations appear in FEFF and IFEFFIT codes for theoretical standards (Newville et al., 1995; 742 citations). Over 20 papers since 1995 advance computational methods for multiple scattering in XAFS.

15
Curated Papers
3
Key Challenges

Why It Matters

Multiple scattering theory enables accurate structural determination in complex systems like nanoparticles and catalysts, improving XAFS quantification (Newville et al., 1995). Tools like ATHENA and ARTEMIS from IFEFFIT package (Ravel and Newville, 2005; 15840 citations) standardize analysis for real-world applications in electrocatalysts (Wang et al., 2023) and chemical imaging (Beale et al., 2010). It supports picosecond structural studies of excited states (Gawełda et al., 2007).

Key Research Challenges

Computational Intensity

Full multiple scattering calculations demand high computational resources for large clusters and many paths (Newville, 2001; 654 citations). Approximations risk accuracy loss in disordered systems. Balancing speed and precision remains critical (Newville et al., 1995).

Theoretical Standards Accuracy

Generating reliable theoretical multiple scattering standards requires precise potentials and self-consistency (Bunău and Joly, 2009; 638 citations). Errors propagate in structural refinements. Validation against experiments challenges code developments like FEFF (Newville et al., 1995).

Path Parameterization Complexity

Identifying and parameterizing relevant multiple scattering paths in complex structures overwhelms single-scattering models (Newville, 2001; 2978 citations). Cumulant expansions help but limit applicability. Automated path selection tools are needed (Ravel and Newville, 2005).

Essential Papers

1.

<i>ATHENA</i>,<i>ARTEMIS</i>,<i>HEPHAESTUS</i>: data analysis for X-ray absorption spectroscopy using<i>IFEFFIT</i>

Bruce Ravel, M. Newville · 2005 · Journal of Synchrotron Radiation · 15.8K citations

A software package for the analysis of X-ray absorption spectroscopy (XAS) data is presented. This package is based on the IFEFFIT library of numerical and XAS algorithms and is written in the Perl...

2.

<i>IFEFFIT</i> : interactive XAFS analysis and <i>FEFF</i> fitting

M. Newville · 2001 · Journal of Synchrotron Radiation · 3.0K citations

IFEFFIT, an interactive program and scriptable library of XAFS algorithms is presented. The core algorithms of AUTOBK and FEFFIT have been combined with general data manipulation and interactive gr...

3.

Analysis of multiple-scattering XAFS data using theoretical standards

M. Newville, Bruce Ravel, D. Haskel et al. · 1995 · Physica B Condensed Matter · 742 citations

4.

EXAFS analysis using <i>FEFF</i> and <i>FEFFIT</i>

M. Newville · 2001 · Journal of Synchrotron Radiation · 654 citations

Some of the advanced EXAFS analysis features of FEFF and FEFFIT are described. The scattering path formalism from FEFF and cumulant expansion are used as the basic building blocks of EXAFS analysis...

5.

Self-consistent aspects of x-ray absorption calculations

O. Bunău, Yves Joly · 2009 · Journal of Physics Condensed Matter · 638 citations

We implemented a self-consistent, real-space x-ray absorption calculation within the FDMNES code. We performed the self-consistency within several schemes and identified which one is the most appro...

6.

Structural Determination of a Short-Lived Excited Iron(II) Complex by Picosecond X-Ray Absorption Spectroscopy

Wojciech Gawełda, Van‐Thai Pham, M. Benfatto et al. · 2007 · Physical Review Letters · 223 citations

Structural changes of the iron(II)-tris-bipyridine ([Fe(II)(bpy)(3)](2+)) complex induced by ultrashort pulse excitation and population of its short-lived (< or =0.6 ns) quintet high spin state hav...

7.

The EXAFS family tree: a personal history of the development of extended X-ray absorption fine structure

Farrel W. Lytle · 1999 · Journal of Synchrotron Radiation · 185 citations

This paper reviews the history of X-ray absorption spectroscopy (XAS) beginning with the first observation of an absorption edge, through the development of the modern theory and data inversion by ...

Reading Guide

Foundational Papers

Start with Newville et al. (1995) for theoretical standards in multiple scattering analysis, then Ravel and Newville (2005) for practical IFEFFIT implementation using ATHENA/ARTEMIS.

Recent Advances

Study Bunău and Joly (2009) for self-consistent real-space calculations in FDMNES, and Wang et al. (2023) for in situ electrocatalyst applications.

Core Methods

Core techniques: FEFF ab initio path calculations, cumulant expansion for anharmonicity, IFEFFIT nonlinear least-squares fitting (Newville, 2001).

How PapersFlow Helps You Research Multiple Scattering Theory in XAFS

Discover & Search

Research Agent uses searchPapers and citationGraph to map FEFF/IFEFFIT evolution from Newville et al. (1995), revealing 742 downstream citations on multiple scattering standards. exaSearch finds recent extensions like self-consistent FDMNES (Bunău and Joly, 2009), while findSimilarPapers clusters 50+ papers on XAFS path formalisms.

Analyze & Verify

Analysis Agent applies readPaperContent to extract scattering path algorithms from Newville (2001), then runPythonAnalysis simulates FEFF outputs with NumPy for custom cluster models. verifyResponse via CoVe cross-checks claims against Ravel and Newville (2005), with GRADE scoring evidence strength for multiple scattering approximations.

Synthesize & Write

Synthesis Agent detects gaps in current multiple scattering for nanostructures, flagging contradictions between FEFF8 and FDMNES approaches. Writing Agent uses latexEditText and latexSyncCitations to draft XAFS refinement sections citing Newville et al. (1995), with latexCompile producing camera-ready manuscripts and exportMermaid visualizing scattering path diagrams.

Use Cases

"Simulate multiple scattering paths for 100-atom nanoparticle XAFS using FEFF parameters"

Research Agent → searchPapers('FEFF multiple scattering nanoparticle') → Analysis Agent → runPythonAnalysis(NumPy cluster simulation with FEFF potentials) → matplotlib plot of χ(k) spectra vs. theory.

"Write LaTeX section on multiple scattering theory citing ATHENA/IFEFFIT papers"

Synthesis Agent → gap detection in path expansions → Writing Agent → latexEditText('multiple scattering intro') → latexSyncCitations(Ravel 2005, Newville 2001) → latexCompile → PDF with equations.

"Find GitHub repos implementing IFEFFIT multiple scattering code"

Research Agent → paperExtractUrls(Ravel 2005) → Code Discovery → paperFindGithubRepo → githubRepoInspect → exportCsv of verified FEFF8 implementations.

Automated Workflows

Deep Research workflow scans 50+ papers from Newville et al. (1995) citationGraph, producing structured reports on multiple scattering evolution with GRADE-verified timelines. DeepScan applies 7-step CoVe chain to validate FEFF paths against experiments in Gawełda et al. (2007). Theorizer generates hypotheses for next-gen self-consistent multiple scattering beyond Bunău and Joly (2009).

Frequently Asked Questions

What defines multiple scattering in XAFS?

Multiple scattering involves photoelectron paths with three or more scatters, modeled via FEFF scattering path formalism (Newville et al., 1995).

What are key methods in multiple scattering theory?

FEFF generates theoretical standards; IFEFFIT fits data with path expansions and cumulants (Newville, 2001; Ravel and Newville, 2005).

What are foundational papers?

Newville et al. (1995; 742 citations) introduced theoretical standards; Ravel and Newville (2005; 15840 citations) delivered ATHENA/ARTEMIS tools.

What open problems exist?

Scaling full multiple scattering to >1000 atoms; integrating machine learning for path selection; self-consistency in relativistic cases.

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