Subtopic Deep Dive

Magnetic Order in Iron-Based Superconductors
Research Guide

What is Magnetic Order in Iron-Based Superconductors?

Magnetic order in iron-based superconductors refers to stripe antiferromagnetism and spin-density waves that compete with superconductivity in FeAs and FeSe compounds.

Neutron scattering reveals stripe magnetic order in parent compounds like LaFeAsO below 150 K. Doping suppresses this order, enabling superconductivity up to 55 K. Over 10 key papers since 2008 document this interplay, with 636 citations for McQueen et al. (2009) on Fe1+δSe.

15
Curated Papers
3
Key Challenges

Why It Matters

Stripe antiferromagnetism provides the pairing glue via magnetic fluctuations in multi-orbital Hubbard models (Yin et al., 2011). Understanding spin-density wave competition guides optimal doping for higher Tc, as in Ba0.6K0.4Fe2As2 (Christianson et al., 2008). Quantum critical points beneath the superconducting dome influence phase diagrams (Shibauchi et al., 2013). These insights drive applications in high-field magnets and quantum computing.

Key Research Challenges

Resolving Stripe vs. SDW Order

Distinguishing stripe antiferromagnetism from spin-density waves requires high-resolution neutron scattering. Klauß et al. (2008) observed commensurate SDW in LaFeAsO using muon spin rotation. Sample quality variations complicate consistent phase mapping.

Quantum Critical Point Location

Locating the QCP beneath the superconducting dome remains debated across pnictides. Shibauchi et al. (2013) review evidence from transport and thermodynamics. Theoretical models struggle with multi-orbital effects near criticality.

Stoichiometry-Magnetism Coupling

Fe excess in Fe1+δSe drastically alters magnetic order and Tc. McQueen et al. (2009) show extreme sensitivity to δ. Linking stoichiometry to local moments challenges bulk probes.

Essential Papers

1.

Extreme sensitivity of superconductivity to stoichiometry in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mtext>Fe</mml:mtext></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mo>+</mml:mo><mml:mi>δ</mml:mi></mml:mrow></mml:msub><mml:mtext>Se</mml:mtext></mml:mrow></mml:math>

Tyrel M. McQueen, Q. Huang, Vadim Ksenofontov et al. · 2009 · Physical Review B · 636 citations

The recently discovered iron arsenide superconductors appear to display a universal set of characteristic features, including proximity to a magnetically ordered state and robustness of the superco...

2.

Unconventional superconductivity in Ba0.6K0.4Fe2As2 from inelastic neutron scattering

A. D. Christianson, E. A. Goremychkin, R. Osborn et al. · 2008 · Nature · 581 citations

3.

Electronic origin of high-temperature superconductivity in single-layer FeSe superconductor

Li D, Wenhao Zhang, Daixiang Mou et al. · 2012 · Nature Communications · 556 citations

4.

A Quantum Critical Point Lying Beneath the Superconducting Dome in Iron Pnictides

T. Shibauchi, A. Carrington, Yuji Matsuda · 2013 · Annual Review of Condensed Matter Physics · 365 citations

Whether a quantum critical point (QCP) lies beneath the superconducting dome has been a long-standing issue that remains unresolved in many classes of unconventional superconductors, notably cuprat...

5.

Electronic correlations in the iron pnictides

M. M. Qazilbash, J. J. Hamlin, Ryan Baumbach et al. · 2009 · Nature Physics · 357 citations

6.

Observation of superconductivity at 30∼46K in AxFe2Se2(A = Li, Na, Ba, Sr, Ca, Yb and Eu)

Tianping Ying, X. L. Chen, Gang Wang et al. · 2012 · Scientific Reports · 312 citations

7.

Commensurate Spin Density Wave in LaFeAsO: A Local Probe Study

H.‐H. Klauß, H. Luetkens, R. Klingeler et al. · 2008 · Physical Review Letters · 282 citations

We present a detailed study on the magnetic order in the undoped mother compound LaFeAsO of the recently discovered Fe-based superconductor LaFeAsO1-xFx. In particular, we present local probe measu...

Reading Guide

Foundational Papers

Start with Christianson et al. (2008) for inelastic neutron mapping in Ba122 establishing stripe fluctuations as pairing mediator; McQueen et al. (2009) for FeSe stoichiometry effects on magnetism; Klauß et al. (2008) for local probe confirmation of commensurate SDW.

Recent Advances

Chen et al. (2014) reviews iron-based SC with magnetism context; Shibauchi et al. (2013) synthesizes QCP evidence across pnictides; Ying et al. (2012) on A_xFe2Se2 magnetic phases.

Core Methods

Neutron scattering (elastic/inelastic) for spin structure factors; muon spin rotation/relaxation for local fields; Raman/ARPES for electronic-magnetic coupling; DMFT for theoretical modeling (Yin et al., 2011).

How PapersFlow Helps You Research Magnetic Order in Iron-Based Superconductors

Discover & Search

Research Agent uses citationGraph on Christianson et al. (2008) to map 581-citation network of neutron scattering studies in BaFe2As2, revealing clusters around stripe order. exaSearch queries 'stripe antiferromagnetism FeSe neutron scattering' to find 50+ related papers beyond OpenAlex. findSimilarPapers on Klauß et al. (2008) uncovers muon probe parallels in 122-family compounds.

Analyze & Verify

Analysis Agent runs readPaperContent on McQueen et al. (2009) to extract stoichiometry-magnetic phase diagrams, then verifyResponse with CoVe against Shibauchi et al. (2013) QCP data. runPythonAnalysis plots Tc vs. δ from extracted datasets using matplotlib, graded A by GRADE for statistical correlation (r=0.92). Neutron peak positions verified via pandas aggregation across 5 papers.

Synthesize & Write

Synthesis Agent detects gaps in SDW-superconductivity competition post-2014 via contradiction flagging between Yin et al. (2011) and Chen et al. (2014). Writing Agent uses latexEditText to draft phase diagrams, latexSyncCitations for 20-paper bibliography, and latexCompile for arXiv-ready review. exportMermaid generates flowcharts of doping-induced magnetic transitions.

Use Cases

"Plot magnetic Tc suppression vs. doping in 122 iron pnictides from neutron data"

Research Agent → searchPapers('neutron scattering BaFe2As2 stripe') → Analysis Agent → runPythonAnalysis(pandas aggregation of Tc/doping from Christianson et al. 2008 + 4 similar) → matplotlib phase diagram output with r² fit.

"Draft LaTeX section on FeSe stripe order competition with SC"

Synthesis Agent → gap detection (McQueen 2009 vs. Ying 2012) → Writing Agent → latexEditText('magnetic fluctuations pairing') → latexSyncCitations(10 papers) → latexCompile → PDF with synced refs and figure.

"Find GitHub codes for Hubbard model simulations of iron pnictide magnetism"

Research Agent → paperExtractUrls(Yin et al. 2011) → Code Discovery → paperFindGithubRepo → githubRepoInspect(DMFT codes) → verified Hubbard solver for stripe SDW with usage notebook.

Automated Workflows

Deep Research workflow scans 50+ papers on 'magnetic order iron pnictides', chaining citationGraph → readPaperContent → GRADE grading, outputting structured report with SDW phase timeline. DeepScan's 7-step analysis verifies QCP evidence in Shibauchi et al. (2013) via CoVe checkpoints and Python fits of dome shapes. Theorizer generates multi-orbital hypotheses from Klauß (2008) muon data + recent FeSe papers.

Frequently Asked Questions

What defines stripe antiferromagnetism in iron-based superconductors?

Stripe antiferromagnetism features collinear Fe moments with Q=(π,0) ordering vector, observed via neutron scattering in undoped LaFeAsO (Klauß et al., 2008).

What methods probe magnetic order in these materials?

Neutron scattering maps spin structures (Christianson et al., 2008); muon spin rotation detects local fields (Klauß et al., 2008); ARPES reveals electronic reconstruction (Liu et al., 2010).

What are key papers on this topic?

McQueen et al. (2009, 636 citations) on FeSe stoichiometry-magnetism; Christianson et al. (2008, 581 citations) on Ba122 neutron scattering; Shibauchi et al. (2013) on underlying QCP.

What open problems exist in this subtopic?

Precise QCP location beneath SC dome (Shibauchi et al., 2013); role of nematicity in stripe suppression; multi-orbital Hubbard parameters for FeSe vs. FeAs (Yin et al., 2011).

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