arXiv (All)
open access
Neural-quantum-state based downfolding of the three-band Emery model for cuprates and nickelates
Understanding the physics underlying high-temperature superconductivity in cuprates and, more recently, infinite-layer nickelates has remained a central challenge in condensed-matter physics. We establish neural quantum states (NQS), specifically Hidden Fermion Determinant States (HFDS), as a scalab
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Neural Network-Augmented Pfaffian Wave-functions for Scalable Simulations of Interacting Fermions#1049648
- Probing Universal Fingerprints of Quantum States: From Quantum Entanglement to Conformal Field Theory#971315
- Persistent paramagnons in high-temperature infinite-layer nickelate superconductors#635619
- Persistent paramagnons in high-temperature infinite-layer nickelate superconductors#633270
- $U(1)$ Gauge-Equivariant Representation Learning of Bloch States#1105404
Record · ID 1142445
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive