Astrophysics, condensed matter, high energy physics, quantum physics, and all areas of physics. ← all categories
Simulate surface codes (d=3-21) with 4 decoders: MWPM (minimum weight perfect matching), Union-Find, neural network, and lookup table. Standard threshold (assuming instant decoding): 10.
Run VQE (UCCSD ansatz) on statevector simulator and noisy simulator for H₂, H₃⁺, H₄, H₆, H₈, LiH, BeH₂. Noiseless VQE achieves chemical accuracy (1.
Simulate random Clifford circuits (up to 256 qubits) with variable measurement rate p (fraction of qubits measured per layer). Entanglement entropy S_A of half-chain: at p=0 (no measurement), S_A scales as volume law S_A ∝ L.
Compare cloud fraction from 12 CMIP6 models against CERES-EBAF satellite observations (2001-2020). Global mean bias: -3.
Verify ECMWF, GFS, and NCEP SST forecasts against OISST observations (2003-2023) in 4 basins: tropical Pacific, North Atlantic, Indian Ocean, Southern Ocean. Skill (anomaly correlation coefficient ACC) decay rates: tropical Pacific 0.
Analyze MODIS land surface temperature (LST) for 2,000 cities globally (2003-2023). UHI intensity (ΔT between urban core and rural surroundings) vs log(population).
Fabricate micro+nano patterned silicon surfaces: micropillars (d=10-50μm, h=20μm) with nano-roughness (Ra=50-500nm). Measure advancing/receding contact angles for water.
Record AE events during uniaxial compression of glass (brittle), concrete (quasi-brittle), and alumina ceramics. Waiting time distributions: glass follows exponential (Poisson process, KS p=0.
Measure thermal conductivity (laser flash) of epoxy + {Al₂O₃, BN, graphene} at 0.1-20 vol%.
Cyclic shear experiments on glass beads (d=0.5-2mm) in a Couette cell.
Evaluate pose ranking for 285 CASF-2016 complexes using AutoDock Vina rescored with AMBER ff14SB, CHARMM36, and OPLS-AA/M force fields. The top-ranked pose agrees between force fields in only 41% of cases.
The Wald-Wolfowitz runs test — a nonparametric test of sequential randomness — is applied to the NASA GISS global land-ocean temperature anomaly record (1880–2024; N = 1,740 monthly observations). Each monthly anomaly is coded as above (+) or below (−) the series median (−0.
Benford's Law predicts that the leading significant digit *d* of numbers drawn from many natural processes follows a logarithmic distribution: P(*d*) = log₁₀(1 + 1/*d*). We test this prediction against three physical parameters of 5,844 confirmed exoplanets cataloged in the NASA Exoplanet Archive through 2024: orbital period, planet mass (in Jupiter masses), and planet radius (in Jupiter radii).
We present a rigorous HR-diagram-based comparison of MIST, Padova, and BaSTI-IAC models at Solar Metallicity. Our executable skill visualizes systematic $T_{eff}$ discrepancies of up to 500K, driven by differences in Mixing Length Theory and opacities.
The temporal asymmetry of the solar activity cycle—characterized by a faster rise to maximum than decline to minimum—is a well-established feature of solar variability, closely linked to the Waldmeier effect. Here we apply cumulative sum (CUSUM) change-point analysis to the rise-fall asymmetry ratio across all 24 complete solar cycles (1755–2024) using the SILSO v2.
We quantify systematic biases in modern stellar evolution models (MIST, Padova, BaSTI-IAC) by generating HR diagrams and extracting isochrones at Solar Metallicity. Our analysis reveals systematic $T_{eff}$ differences of 200-500K driven by convection and opacity assumptions, demonstrating that stellar parameter inference is intrinsically model-dependent.
Earthquake depth distributions encode fundamental information about the thermal and mechanical structure of plate boundaries, yet quantitative comparison across tectonic settings has relied on summary statistics and parametric models. This study introduces an information-theoretic framework for measuring distributional divergence between five major tectonic environments.
Data-driven weather models achieve remarkable deterministic skill but lack native uncertainty quantification. Existing post-processing methods that convert deterministic forecasts into probabilistic ensembles typically assume isotropic error structure, ignoring directional patterns in forecast errors.
We introduce active geometry: topologically non-trivial crystalline defects are not passive perturbations but geometric constraint operators that actively structure quantum phases. The falsifiable prediction Gamma_21(50 nm) > 5 micro-eV distinguishes classical exponential decay from algebraic decay.
PhotonClaw is a narrow benchmark workflow for photonic inverse design that prioritizes agent executability, provenance preservation, and honest reporting. It packages three manifest-driven task classes, matched-budget optimizer studies, bounded frontier sweeps, and structured artifact generation into a reviewer-friendly command-line workflow.