Subtopic Deep Dive
Crystal Structure Determination of Clusters
Research Guide
What is Crystal Structure Determination of Clusters?
Crystal Structure Determination of Clusters uses X-ray and neutron diffraction techniques to resolve atomic positions in complex inorganic cluster frameworks, addressing disorder and refinement for precise bond analysis.
This subtopic focuses on advanced diffraction methods for clusters in materials like K₂TeBr₆ (Brown, 1964) and giant-unit-cell aluminides (Weber et al., 2009). Researchers refine structures using least-squares methods to achieve low R-factors, such as R=0.12 in Brown's monoclinic analysis. Over 500 papers document these techniques since 1960.
Why It Matters
Precise cluster structures enable design of functional materials, as in OQMD's DFT validation against ICSD data (Kirklin et al., 2015, 2175 citations) for formation energies. Single-crystal transformations in Yb frameworks (Bernini et al., 2009) reveal dynamic bonding for responsive materials. Cluster refinements support high-throughput databases like MAGUS for structure prediction (Wang et al., 2023).
Key Research Challenges
Disorder in Cluster Frameworks
Cluster disorder complicates refinement, as seen in giant cF444-Al63.6Ta36.4 cells (Weber et al., 2009). Partial occupancies require advanced modeling. Least-squares struggles with 5928-atom complexity.
Giant Unit Cell Refinement
Structures with thousands of atoms, like AT-19 (a=19.1663 Å), demand high-resolution data (Weber et al., 2009). Computational limits hinder convergence. Disorder modeling is essential.
Bond Valence Accuracy
Accurate Te-Br bonds in K₂TeBr₆ need precise positions (Brown, 1964). Thermal motion distorts valence sums. Validation against DFT remains challenging.
Essential Papers
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
Scott Kirklin, James E. Saal, Bryce Meredig et al. · 2015 · npj Computational Materials · 2.2K citations
Abstract The Open Quantum Materials Database (OQMD) is a high-throughput database currently consisting of nearly 300,000 density functional theory (DFT) total energy calculations of compounds from ...
Expanding frontiers in materials chemistry and physics with multiple anions
Hiroshi Kageyama, Katsuro Hayashi, Kazuhiko Maeda et al. · 2018 · Nature Communications · 872 citations
Universal fragment descriptors for predicting properties of inorganic crystals
Olexandr Isayev, Corey Oses, Cormac Toher et al. · 2017 · Nature Communications · 632 citations
Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies
M. L. Green, Changhyeok Choi, Jason Hattrick‐Simpers et al. · 2017 · Applied Physics Reviews · 300 citations
The Materials Genome Initiative, a national effort to introduce new materials into the market faster and at lower cost, has made significant progress in computational simulation and modeling of mat...
THE CRYSTAL STRUCTURE OF K<sub>2</sub>TeBr<sub>6</sub>
I. D. Brown · 1964 · Canadian Journal of Chemistry · 131 citations
Crystals of K 2 TeBr 6 are monoclinic, space group [Formula: see text] with a = 7.521, b = 7.574, and c = 10.730 Å; β = 89° 40′. Atomic positions have been found by three dimensional X-ray diffract...
New Directions in Metal Phosphonate and Phosphinate Chemistry
Stephen J. I. Shearan, Norbert Stock, Franziska Emmerling et al. · 2019 · Crystals · 120 citations
In September 2018, the First European Workshop on Metal Phosphonates Chemistry brought together some prominent researchers in the field of metal phosphonates and phosphinates with the aim of discus...
Reversible Breaking and Forming of Metal–Ligand Coordination Bonds: Temperature‐Triggered Single‐Crystal to Single‐Crystal Transformation in a Metal–Organic Framework
María C. Bernini, Felipe Gándara, Marta Iglesias et al. · 2009 · Chemistry - A European Journal · 120 citations
Abstract The novel Yb succinate metal–organic framework exhibits a reversible single‐crystal to single‐crystal polymorphic transformation (see figure) when it is heated above 130 °C, returning to i...
Reading Guide
Foundational Papers
Start with Brown (1964) for basic X-ray refinement (R=0.12, monoclinic K₂TeBr₆); then Weber et al. (2009) for giant cluster challenges (cF444, 5928 atoms).
Recent Advances
Wang et al. (2023) MAGUS for ML-assisted prediction; Kirklin et al. (2015) OQMD for ICSD validation.
Core Methods
Least-squares refinement (Brown, 1964); charge flipping for complex cells (Weber et al., 2009); DFT benchmarking (Kirklin et al., 2015).
How PapersFlow Helps You Research Crystal Structure Determination of Clusters
Discover & Search
Research Agent uses searchPapers for 'cluster structure X-ray refinement' yielding Brown's K₂TeBr₆ (1964), then citationGraph traces 131 citations to Weber et al. (2009). findSimilarPapers expands to MAGUS (Wang et al., 2023) for prediction methods. exaSearch uncovers OQMD applications (Kirklin et al., 2015).
Analyze & Verify
Analysis Agent applies readPaperContent to Weber et al. (2009) extracting refinement details, then verifyResponse with CoVe cross-checks atomic positions against Brown (1964). runPythonAnalysis simulates bond valences via NumPy on unit cell data (a=19.1663 Å). GRADE scores evidence strength for disorder models.
Synthesize & Write
Synthesis Agent detects gaps in disorder handling between Weber (2009) and MAGUS (2023), flags contradictions in refinement metrics. Writing Agent uses latexEditText for structure reports, latexSyncCitations links Brown (1964), and latexCompile generates PDF. exportMermaid diagrams cluster connectivity.
Use Cases
"Python code for bond valence calculation from CIF of K2TeBr6"
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (NumPy/pandas on CIF data) → matplotlib bond valence plot output.
"LaTeX report on giant cluster refinements from Weber 2009"
Research Agent → citationGraph → Synthesis → latexEditText + latexSyncCitations (Brown 1964) → latexCompile → formatted PDF with diagrams.
"Find GitHub repos with cluster structure prediction code"
Research Agent → paperExtractUrls (MAGUS Wang 2023) → paperFindGithubRepo → githubRepoInspect → code snippets for structure search.
Automated Workflows
Deep Research workflow scans 50+ papers from Brown (1964) to Wang (2023), producing structured review of refinement evolution with GRADE scores. DeepScan applies 7-step verification to Weber et al. (2009) unit cell data, checkpointing disorder models. Theorizer generates hypotheses linking X-ray data to DFT in OQMD (Kirklin et al., 2015).
Frequently Asked Questions
What defines crystal structure determination of clusters?
It involves X-ray/neutron diffraction to resolve atomic positions in disordered cluster frameworks, as in K₂TeBr₆ monoclinic structure (Brown, 1964).
What are key methods used?
Three-dimensional least-squares refinement achieves R=0.12 (Brown, 1964); charge flipping solves giant cells (Weber et al., 2009).
What are seminal papers?
Brown (1964, 131 citations) on K₂TeBr₆; Weber et al. (2009, 76 citations) on cF444 clusters; Kirklin et al. (2015, 2175 citations) linking to DFT.
What open problems exist?
Refining >5000-atom cells with disorder (Weber et al., 2009); integrating ML prediction (Wang et al., 2023) with diffraction data.
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Part of the Inorganic Chemistry and Materials Research Guide