2026
A controlled audit of when blur, pixel size, segmentation error, and finite windows make Arctic melt-pond images appear to cross a connectivity threshold that the latent surface did not.
2026
A mathematical-modeling study of how a quantum repeater should trade speed against decoherence when link generation and entanglement swapping are probabilistic.
2026
A cellular Potts study tests when differential adhesion produces sorting, engulfment, arrested mixtures, or misleadingly similar end states.
2026
A controlled stress test compares Gaussian, Student-t, historical, and extreme-value risk forecasts under volatility clustering, leverage, heavy tails, and jumps.
2026
A free-boundary study turns early exercise into an obstacle problem, then audits price, Greeks, convergence, and complementarity across three numerical methods.
2026
A hierarchy of empirical and mechanistic dissolution models reveals when a familiar release curve conceals finite-sink transport, parameter trade-offs, and changing regimes.
2026
Deterministic bistability creates two memory states, but finite molecular copy number determines how long a stochastic genetic toggle remains in either one.
2026
A reproducible synthetic implementation separates a causal sEMG fast path from a gated frequency tracker, then tests harmonic cancellation, envelope fidelity, and host-Python timing without claiming participant or embedded-device validation.
2026
A 243-case atlas treats Michaelis-Menten kinetics as a testable model reduction and maps where trajectory or event-time errors become important.
2026
A non-isothermal CSTR can remember its operating path, jump between cold and hot states, and recover ever more slowly before a thermal fold.
2026
A cultural-evolution model shows how publication bias and visible output can select low-effort methods, and when replication audits change that selection pressure.
2026
A verified reaction–diffusion experiment asks when tissue growth preserves a spatial pattern and when it forces peaks to split, merge, or disappear.
2026
A reduced morphoelastic beam experiment tests whether small spatial changes in stiffness and growth load can steer fold number and location without increasing peak curvature.
2026
A synthetic exothermic-reactor study quantifies how much nominal production is surrendered when a decision must remain below a thermal-risk criterion under uncertain kinetics and heat transfer.
2026
A stiff transfer-network benchmark compares standard explicit integrators with a linearly implicit update that preserves non-negativity and total mass.
2026
An evolutionary agent-based model treats novelty, rigour, and replication credit as competing institutional incentives and maps their discovery–reliability frontier.
2026
A stochastic strong-Allee model shows why average sustainable yield can conceal a collapse threshold and why a feedback refuge changes the finite-horizon risk–yield frontier.
2026
A synthetic hedging experiment freezes one uncertainty-aware no-trade band and tests whether it reduces tail loss and turnover across unseen rough-volatility and cost regimes.
2026
A synthetic gene-circuit benchmark compares an unconstrained neural vector field with a sign-structured model under unseen interventions, and finds that feasibility does not guarantee honest uncertainty.
2026
A synthetic quartet experiment separates sampling error from model error and shows how a long alignment can give complete bootstrap support to the wrong phylogenetic tree.
2026
A controlled symbolic-regression benchmark asks whether dimensional constraints improve exact equation recovery, shrink the search space, and prevent unit-fragile formulas.
2026
A FitzHugh–Nagumo benchmark freezes an event-triggered local intervention and tests whether it blocks travelling waves under unseen conduction speeds and sensor delays.
2026
A Wright–Fisher experiment shows why a beneficial allele is usually lost when it begins as one copy, how migration can oppose local adaptation, and why a brief bottleneck leaves a lasting genetic deficit.
2026
A Bayesian sequential-design benchmark chooses forcing experiments that distinguish Van der Pol, Rayleigh, and Duffing mechanisms under a six-experiment budget.
2026
A close fit can coexist with weak parameter evidence. Identifiability analysis shows when new measurements matter more than another optimizer.
2026
Network interference changes the meaning of a treatment effect. Exposure mappings connect experimental design, estimands, and defensible causal claims.
2026
A reproducible classroom experiment on predictive ventilation, unannounced room changes, shared fan limits, and the price of an occupancy buffer.
2026
An editorial account of a synthetic water-network study that places pressure sensors for useful evidence even after one measurement disappears.
2026
Building and stress-testing a graph-aware battery thermal warning model without confusing a synthetic result for a safety claim.
2025
A guide to what a synthetic reaction–diffusion experiment can—and cannot—show about climate-sensitive transmission.