Subtopic Deep Dive

Iron Pnictide Superconductors
Research Guide

What is Iron Pnictide Superconductors?

Iron pnictide superconductors are layered FeAs-based compounds like LaFeAsO and BaFe2As2 exhibiting superconductivity upon doping, with critical temperatures up to 55 K.

Discovery began with LaOFeP superconductivity at 4 K (Kamihara et al., 2006, 1496 citations), followed by 26 K in F-doped LaFeAsO. Research expanded to phase diagrams, nematic order, and pairing mechanisms (Stewart, 2011, 1572 citations). Over 10 high-citation papers from 2006-2016 document doping effects and magnetic phases.

15
Curated Papers
3
Key Challenges

Why It Matters

Iron pnictides offer a second high-Tc family beyond cuprates, enabling comparison of unconventional superconductivity mechanisms (Stewart, 2011). Doping studies reveal spin-density-wave suppression and nematic phases critical for theory (Fernandes et al., 2014; Zhao et al., 2008). Applications include potential wires for magnets and power grids, with phase diagrams guiding material optimization (Medvedev et al., 2009).

Key Research Challenges

Pairing Symmetry Determination

Multiple pairing channels compete in multiorbital models, complicating s± vs. d-wave identification (Graser et al., 2009). Weak-coupling theories predict diverse states due to inadequate low-energy approximations. Experimental verification requires high-resolution spectroscopy.

Nematic Order Origin

Nematicity emerges without magnetism in some phases, driven by orbital or spin fluctuations (Fernandes et al., 2014). Distinguishing lattice vs. electronic drivers remains unresolved. Neutron scattering shows anisotropic correlations challenging isotropic models.

Hund's Coupling Effects

Hund's intra-atomic exchange causes strong correlations beyond Mott physics (Georges et al., 2011). Kinetic frustration in paramagnetic states affects phase diagrams (Yin et al., 2011). Quantifying its role in Tc suppression needs advanced dynamical mean-field theory.

Essential Papers

1.

Superconductivity in iron compounds

G. R. Stewart · 2011 · Reviews of Modern Physics · 1.6K citations

Kamihara and coworkers' report of superconductivity at Tc = 26 K in\nfluorine-doped LaFeAsO inspired a worldwide effort to understand the nature of\nthe superconductivity in this new class of compo...

2.

Iron-Based Layered Superconductor:  LaOFeP

Yoichi Kamihara, Hidenori Hiramatsu, Masahiro Hirano et al. · 2006 · Journal of the American Chemical Society · 1.5K citations

We report superconductivity in an iron-based layered oxy-pnictide LaOFeP. LaOFeP is composed of an alternate stack of lanthanum oxide (La3+O2-) and iron pnictide (Fe2+P3-) layers. Magnetic and elec...

3.

What drives nematic order in iron-based superconductors?

Rafael M. Fernandes, Andrey V. Chubukov, Jörg Schmalian · 2014 · Nature Physics · 1.1K citations

4.

Electronic and magnetic phase diagram of β-Fe1.01Se with superconductivity at 36.7 K under pressure

Sergey A. Medvedev, Tyrel M. McQueen, I. A. Troyan et al. · 2009 · Nature Materials · 1.0K citations

5.

Strong Correlations from Hund’s Coupling

Antoine Georges, Luca de’ Medici, Jernej Mravlje · 2011 · Annual Review of Condensed Matter Physics · 818 citations

Strong electronic correlations are often associated with the proximity of a Mott-insulating state. In recent years however, it has become increasingly clear that the Hund’s rule coupling (intra-ato...

6.

Near-degeneracy of several pairing channels in multiorbital models for the Fe pnictides

S Graser, T A Maier, P J Hirschfeld et al. · 2009 · New Journal of Physics · 772 citations

Weak-coupling approaches to the pairing problem in the iron pnictide superconductors have predicted a wide variety of superconducting ground states. We argue here that this is due both to the inade...

7.

Kinetic frustration and the nature of the magnetic and paramagnetic states in iron pnictides and iron chalcogenides

Zhiping Yin, Kristjan Haule, Gabriel Kotliar · 2011 · Nature Materials · 758 citations

Reading Guide

Foundational Papers

Start with Kamihara et al. (2006) for discovery of LaOFeP Tc=4K; Stewart (2011) for comprehensive review of pnictide/chalcogenide classes (1572 citations); Zhao et al. (2008) for CeFeAsO phase diagram linking magnetism to superconductivity.

Recent Advances

Fernandes et al. (2014) on nematic order drivers; Yin et al. (2011) on kinetic frustration in paramagnetic states; Graser et al. (2009) on competing pairing channels.

Core Methods

Doping (F-substitution, Zhao 2008); pressure tuning (Medvedev 2009); NMR (Ishida 2009); multiorbital models (Graser 2009); dynamical mean-field theory (Georges 2011, Yin 2011).

How PapersFlow Helps You Research Iron Pnictide Superconductors

Discover & Search

Research Agent uses searchPapers('iron pnictide superconductors doping phase diagram') to find 50+ papers like Zhao et al. (2008), then citationGraph reveals clusters around Stewart (2011, 1572 citations). findSimilarPapers on Kamihara et al. (2006) uncovers related FePn/Ch compounds. exaSearch semantic query 'nematic order in BaFe2As2' surfaces Fernandes et al. (2014).

Analyze & Verify

Analysis Agent applies readPaperContent on Graser et al. (2009) to extract multiorbital pairing data, then runPythonAnalysis plots Tc vs. doping from extracted tables using matplotlib. verifyResponse with CoVe chain-of-verification cross-checks claims against Ishida et al. (2009), achieving GRADE A evidence grading. Statistical verification fits phase boundaries from Medvedev et al. (2009) pressure data.

Synthesize & Write

Synthesis Agent detects gaps in nematicity-pairing links via contradiction flagging across Fernandes (2014) and Yin (2011). Writing Agent uses latexEditText to draft phase diagram sections, latexSyncCitations for 20+ refs, and latexCompile for PDF. exportMermaid generates flowcharts of doping-induced transitions.

Use Cases

"Plot Tc vs. doping concentration from iron pnictide papers"

Research Agent → searchPapers → Analysis Agent → readPaperContent (Zhao 2008, Kamihara 2006) → runPythonAnalysis (pandas curve fit, matplotlib scatter) → CSV export of phase diagram data.

"Write LaTeX review on nematic order in iron pnictides"

Synthesis Agent → gap detection → Writing Agent → latexEditText (intro + methods) → latexSyncCitations (Fernandes 2014 et al.) → latexCompile → PDF with compiled figures.

"Find code for iron pnictide DFT calculations"

Research Agent → paperExtractUrls (select recent pnictide sim papers) → Code Discovery → paperFindGithubRepo → githubRepoInspect → curated repo list with band structure scripts.

Automated Workflows

Deep Research workflow scans 50+ pnictide papers via searchPapers → citationGraph → structured report on Tc evolution (Kamihara 2006 to Medvedev 2009). DeepScan 7-step analyzes Graser (2009) with readPaperContent → CoVe → runPythonAnalysis on pairing symmetries. Theorizer generates hypotheses on Hund's role by synthesizing Georges (2011) and Yin (2011).

Frequently Asked Questions

What defines iron pnictide superconductors?

Layered FeAs compounds like LaFeAsO and BaFe2As2 show superconductivity upon chemical doping, with Tc from 4 K in LaOFeP to 55 K in optimized systems (Kamihara et al., 2006; Stewart, 2011).

What are key synthesis methods?

Fluorine doping of LaFeAsO achieves 26 K (Kamihara et al., 2008 via Stewart 2011); pressure on β-FeSe reaches 36.7 K (Medvedev et al., 2009). High-pressure synthesis and substitution tune phase diagrams (Zhao et al., 2008).

What are seminal papers?

Kamihara et al. (2006, 1496 citations) discovered LaOFeP superconductivity; Stewart (2011, 1572 citations) reviewed the field; Graser et al. (2009, 772 citations) analyzed pairing channels.

What open problems persist?

Pairing mechanism (s± near-degeneracy, Graser 2009); nematic driver (orbitals vs. spins, Fernandes 2014); Hund's coupling quantification in Tc (Georges 2011, Yin 2011).

Research Iron-based superconductors research with AI

PapersFlow provides specialized AI tools for Materials Science researchers. Here are the most relevant for this topic:

See how researchers in Engineering use PapersFlow

Field-specific workflows, example queries, and use cases.

Engineering Guide

Start Researching Iron Pnictide Superconductors with AI

Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.

See how PapersFlow works for Materials Science researchers