Complete data archive for: Sequence correlations program microphase contrast in heteropolymer melts

Complete simulation data, processed source tables, trajectories, analysis code and working material for the paper Sequence correlations program microphase contrast in heteropolymer melts, extended in this version with the follow-up program on the mixed-to-demixed transition and the composition dynamic structure factor of the correlated random copolymer melt. New in version 4.0.0 Five archives sweep_*.tar (37 GB in total, all extracting into incompatibility_sweep_campaigns/): fifteen restartable campaigns, 1,072 production runs, in which the A-B attraction eps_AB is swept at fixed eps_AA = eps_BB = 1 so that delta_eps = 1 - eps_AB is a clean incompatibility (Flory-Huggins chi) axis. Every run records the exact Fourier amplitudes rho_A(q,t), rho_B(q,t) of the A and B bead densities at all periodic-box modes with q <= 1.5/sigma (mode_amplitudes.npz), from which both the static composition spectrum and the two-time dynamic structure factor S(q,tau) = <rho(q,t0) rho*(q,t0+tau)>/N are computed. Campaigns: sweep_transition_kappa05.tar: epsab_kappa05 (148 runs) and epsab_stage2_kappa05 (400 runs; 8 seeds; 144 and 288 chains): the transition at kappa = 0.5, T* = 0.7. Crossover at eps_AB = 0.85 +/- 0.03, identical for both box sizes; RPA spinodal at 0.905 with contact factor alpha ~ 2. sweep_dsf_temperature_series.tar: dsf_T0p7, dsf_T1p0, dsf_T1p5, dsf_T2p0 (44 runs each, 2.5 million steps): the dynamic structure factor versus temperature. At T* >= 1.5 the composition correlation decays fully with a Rouse q^-4 relaxation-time regime and critical slowing down of the low-q modes toward the transition; at T* = 0.7 the melt is arrested. sweep_dsf_theory_T1p5.tar, sweep_dsf_theory_T2p0.tar: dsf_theory_T1p5, dsf_theory_T2p0 (56 runs each, 5 million steps, 8 seeds) and dsf_chi0_M288_T1p5: the mixed-side dataset for comparison with theory, with box modes every 200 steps. sweep_kappa_boundary_and_coarsening.tar: kappa0p0_T1p5 ... kappa1p0_T1p5 (44 runs each): the phase boundary versus sequence correlation at T* = 1.5. No transition for kappa <= 0.25; crossover delta_eps_c = 0.20, 0.15, 0.115 for kappa = 0.5, 0.75, 1; lamellar signature only for kappa = 1 at strong incompatibility. (same archive) coarsening_T0p7 (12 runs, 20 million steps): slow coarsening of the arrested microphase on the demixed side. Each campaign directory holds manifest.json (hashed design, pinned code commit, run list), per-run outputs with SHA-256 completion.json, and the aggregated analysis/ tables and figures. A README inside the archive documents the layout, the normalization and the headline results; the repository's analysis/*/README.md files give the full findings. Two applications of the model with asymmetric energetics (B loves B, A-B neutral) and free volume are published as companion records: sequence-programmed condensation of A/B copolymers (360 runs; condensation is programmed by sequence correlation with a boundary at kappa ~ 0.5 nearly independent of attraction strength) and epigenetic memory in a copolymer model of chromatin (160 runs; blobs are transient with a lifetime set by mark turnover, are stabilized once the reader-writer feedback gain exceeds about ten times the turnover rate, and then accrete marks to a fraction fixed by that ratio). Files carried over from earlier versions heteropolymer_microphase_data.tar (3.3 GB): full raw output of the production campaigns of the paper. Per run: meta.json, snapshots.csv, structure_factor.npz and trajectory.npz where applicable. fixed_density_campaign.tar (37 MB): the 30-run fixed-density finite-size study (M = 144/288/576 chains, kappa = 0 and 1, five seeds). Supplementary_Data_1_source_tables.zip (25 MB): per-figure source and sensitivity tables and the figure-generation scripts. complete_local_archive.tar (106 MB): the earlier single-chain study, development runs, manuscript builds and working notes. README.md: contents and reproduction instructions. Code The simulation engine (OpenMM), the mode recorder, the dynamic structure factor and RPA modules, the campaign drivers and the test suite are at github.com/okezue/ImpAgingSim.