Domains We’ve Analyzed
Early analyses across multiple public datasets show consistent regime-structured behavior under a unified evaluation framework.
Geology
Initial analyses focused on tens of thousands of zircon and related chronometer measurements to evaluate deep-time signal behavior under a unified evaluation framework. Subsequent work expanded to much larger, globally compiled datasets spanning ancient crustal materials, sedimentary systems, and extraterrestrial samples. Across scales, the analyses consistently indicated structured, regime-dependent behavior in age signals that remained coherent even in the presence of substantial noise. For researchers, this supports clearer interpretation of long-term chronological structure. For applied geoscience, it offers a more stable basis for understanding how geological systems evolve over extended timescales.
Semiconductors
Semiconductor aging datasets commonly exhibit gradual drift under thermal stress, cycling, and prolonged operation. Evaluation of publicly available device-lifetime data indicates structured degradation behavior that is not always well captured by constant-rate assumptions. These findings suggest opportunities for improved interpretation of reliability windows, qualification boundaries, and long-term performance trends without altering existing fabrication or test workflows.
NASA Batteries
Analysis of publicly available NASA lithium-ion battery aging datasets—including baseline, second-life, and recommissioned cells—revealed consistent structure in capacity fade and degradation progression across operating conditions. These observations support clearer differentiation between normal aging behavior and anomalous degradation, with implications for interpreting cycle life, operational limits, and long-term performance expectations in energy-storage systems.
Pharmaceuticals
Exploratory analysis of pharmaceutical stability and chemical degradation datasets indicates regime-structured behavior in compound aging under varying environmental conditions. These patterns support improved interpretation of shelf-life behavior and stability boundaries, helping clarify when observed degradation reflects expected progression versus atypical chemical response.
Solar Systems
Solar panel and inverter degradation data are often characterized by high noise and long observation horizons. Evaluation of publicly available solar system datasets indicates structured trends in performance decline that persist across operating environments. These observations support more stable interpretation of long-term degradation behavior and maintenance-relevant timeframes.
Turbines & Energy Systems
Mechanical fatigue and wear datasets from turbines, rotating machinery, and industrial components show structured degradation behavior across operational regimes. Analysis of these datasets supports clearer separation between early-life behavior, steady-state wear, and late-stage degradation, informing maintenance interpretation and long-horizon system planning.
Materials & Polymers
Material and polymer aging datasets subjected to thermal, chemical, and mechanical stress exhibit non-uniform degradation behavior across time. Evaluation of these datasets highlights regime-dependent trends that can inform interpretation of service-life expectations, durability limits, and long-term material performance.