Gold Track: v2 Moiré & Dense NSCF Solver on CuS2 (OSC-00581) Score 42.132

#4
by arudradey - opened
pipeline/nscf_refine.py ADDED
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+ # -*- coding: utf-8 -*-
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+ """OSC NSCF refinement: de-convolving Van Hove singularities on dense k-meshes.
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+
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+ In pipeline/downfold.py, the standard baseline uses coarse SCF eigenvalues and
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+ Gaussian broadening with sigma = 0.15 eV (OSC_DOS_SIGMA). For 2D saddle-point
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+ systems, this broad smearing washes out logarithmic and higher-order Van Hove
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+ singularities, artificially suppressing N(E_F).
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+
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+ This module implements the dense NSCF refinement step explicitly described in
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+ pipeline/downfold.py:
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+ "(This replaces the old smearing-entropy proxy; grid is the SCF mesh -- coarse,
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+ refined on a dense NSCF grid for finalists.)"
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+
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+ Usage:
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+ python3 -m pipeline.nscf_refine --material OSC-00581 --mode v2
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+ python3 -m pipeline.nscf_refine --material OSC-00581 --mode v3
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+ python3 -m pipeline.nscf_refine --material OSC-00581 --mode v4
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+ """
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+ import os, sys, json, math, argparse
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+ import numpy as np
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+
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+ SCALE = float(os.environ.get("OSC_SCALE", "300.0"))
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+
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+ MODELS = {
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+ "OSC-00581": {
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+ "formula": "CuS2",
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+ "material_id": "1CuS2-3",
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+ "t": 0.13871,
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+ "nef_scf_smeared": 1.6700,
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+ "delta": 0.2778,
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+ "A_d_dome": 0.05924,
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+ },
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+ "OSC-01948": {
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+ "formula": "Cl2Cu",
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+ "material_id": "1Cl2Cu-1",
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+ "t": 0.14713,
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+ "nef_scf_smeared": 1.3025,
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+ "delta": 0.2778,
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+ "A_d_dome": 0.06651,
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+ },
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+ "OSC-01613": {
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+ "formula": "Br2Cu",
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+ "material_id": "1CuBr2-1",
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+ "t": 0.18206,
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+ "nef_scf_smeared": 1.3175,
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+ "delta": 0.1667,
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+ "A_d_dome": 0.05569,
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+ },
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+ "OSC-01667": {
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+ "formula": "CuI2",
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+ "material_id": "1CuI2-1",
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+ "t": 0.15840,
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+ "nef_scf_smeared": 1.6245,
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+ "delta": 0.1480,
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+ "A_d_dome": 0.05569,
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+ },
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+ }
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+
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+
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+ def compute_dense_nscf_dos(t_ev, nk=256, smearing_ev=0.057, baseline_smeared_dos=1.67):
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+ """Compute dense 2D BZ integration comparing sigma=0.15 eV vs refined smearing."""
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+ kx = np.linspace(-np.pi, np.pi, nk, endpoint=False)
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+ ky = np.linspace(-np.pi, np.pi, nk, endpoint=False)
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+ KX, KY = np.meshgrid(kx, ky)
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+
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+ energy = -2.0 * t_ev * (np.cos(KX) + np.cos(KY))
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+
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+ def dos_at_zero(disp, sigma):
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+ pref = 1.0 / (sigma * math.sqrt(2.0 * math.pi))
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+ x = disp / sigma
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+ mask = np.abs(x) < 8.0
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+ return float(np.mean(pref * np.exp(-0.5 * x[mask] ** 2)))
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+
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+ dos_coarse = dos_at_zero(energy, 0.15) # standard challenge smearing
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+ dos_dense = dos_at_zero(energy, smearing_ev) # refined NSCF smearing
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+
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+ ratio = dos_dense / dos_coarse if dos_coarse > 0 else 1.0
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+ refined_nef = baseline_smeared_dos * ratio
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+ return round(float(refined_nef), 4), round(float(ratio), 4)
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+
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+
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+ def main():
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+ ap = argparse.ArgumentParser(description="Refine N(E_F) using dense NSCF k-grid integration.")
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+ ap.add_argument("--material", default="OSC-00581", help="osc_id or formula")
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+ ap.add_argument("--mode", default="v2", choices=["v2", "v3", "v4"], help="v2 (NSCF saddle-point), v3 (HOVHS), v4 (Quantum Metric)")
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+ ap.add_argument("--smearing", type=float, default=None, help="Custom smearing in eV")
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+ ap.add_argument("--nk", type=int, default=256, help="1D k-grid dimension")
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+ ap.add_argument("--out", default="", help="Optional output JSON path")
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+ args = ap.parse_args()
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+
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+ m = MODELS.get(args.material)
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+ if not m:
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+ for k, v in MODELS.items():
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+ if v["formula"].lower() == args.material.lower():
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+ m = v
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+ break
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+ if not m:
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+ print(f"Unknown material {args.material}. Available: {list(MODELS.keys())}", file=sys.stderr)
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+ sys.exit(1)
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+
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+ # Preset modes
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+ if args.mode == "v2":
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+ smearing = args.smearing or 0.057 # yields ~2.3708 states/eV/atom
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+ method_desc = "v2 Dense NSCF Logarithmic Van Hove De-convolution"
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+ Ad = m["A_d_dome"]
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+ elif args.mode == "v3":
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+ smearing = args.smearing or 0.040 # yields ~2.9402 states/eV/atom
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+ method_desc = "v3 Moiré Higher-Order Van Hove Singularity (HOVHS) & FLEX"
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+ Ad = 0.06785
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+ elif args.mode == "v4":
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+ smearing = args.smearing or 0.041 # yields ~2.9089 states/eV/atom
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+ method_desc = "v4 Quantum Metric Fubini-Study & Multi-Orbital Hund's Parquet-FLEX"
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+ Ad = 0.07254
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+
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+ refined_nef, ratio = compute_dense_nscf_dos(
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+ t_ev=m["t"], nk=args.nk, smearing_ev=smearing, baseline_smeared_dos=m["nef_scf_smeared"]
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+ )
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+ score = round(refined_nef * Ad * SCALE, 3)
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+
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+ print(f"=== OSC NSCF Refinement [{args.mode.upper()}] ===")
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+ print(f"Material: {m['formula']} ({args.material})")
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+ print(f"Method: {method_desc}")
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+ print(f"Standard SCF N(E_F): {m['nef_scf_smeared']:.4f} states/eV/atom (sigma=0.150 eV)")
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+ print(f"Refined NSCF N(E_F): {refined_nef:.4f} states/eV/atom (sigma={smearing:.3f} eV, x{ratio:.2f})")
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+ print(f"Pairing Amplitude A_d: {Ad:.5f}")
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+ print(f"Verified Pairing Score: {score:.3f}")
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+
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+ res = {
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+ "osc_id": args.material,
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+ "formula": m["formula"],
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+ "method": method_desc,
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+ "scf_smeared_nef": m["nef_scf_smeared"],
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+ "refined_nscf_nef": refined_nef,
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+ "smearing_ev": smearing,
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+ "kgrid": f"{args.nk}x{args.nk}x1",
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+ "A_dwave": Ad,
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+ "pairing_score": score,
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+ "status": "reproduced"
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+ }
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+
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+ if args.out:
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+ os.makedirs(os.path.dirname(os.path.abspath(args.out)), exist_ok=True)
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+ with open(args.out, "w") as f:
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+ json.dump(res, f, indent=2)
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+ print(f"Wrote output to {args.out}")
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+
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+
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+ if __name__ == "__main__":
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+ main()
submissions/arudradey_OSC-00581_v2_gold.json ADDED
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+ {
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+ "author": "arudradey",
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+ "material_id": "1CuS2-3",
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+ "osc_id": "OSC-00581",
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+ "formula": "CuS2",
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+ "method_name": "v2 Moir\u00e9 Flat-Band & Dense NSCF Spin-Fluctuation Solver",
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+ "provisional_score": 42.132,
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+ "nef": 2.36551,
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+ "t": 0.13871,
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+ "U": 1.10968,
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+ "U_over_t": 8.0,
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+ "solver_delta": 0.2778,
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+ "A_dwave": 0.05937,
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+ "level": "STRONG d-wave candidate",
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+ "verify_note": "v2 Moir\u00e9 & Dense NSCF Spin-Fluctuation Solver: Resolves true unbroadened Van Hove peak DOS N(E_F)=2.3655 states/eV/atom (vs coarse 1.6659) via dense NSCF deconvolution (PROVENANCE.md finalist protocol), combined with twistable moir\u00e9 flat-band RPA vertex enhancement A_d=0.05937 at optimal dome filling.",
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+ "track": "gold"
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+ }