Metadata
Science Any Level Create Hard
Metadata
  • Subject

    Science

  • Education level

    Any Level

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    photocatalysis, CO2 reduction, experimental design, computational modeling, materials characterization, reproducibility

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess the learner's ability to design a reproducible laboratory experiment and complementary computational model to develop and characterize a novel visible‑light photocatalyst for efficient CO2→CH4 conversion. Scope includes proposing a clear synthesis and scale-up‑ready protocol with controls and replication strategy; selecting and justifying characterization techniques (e.g., UV‑Vis, XRD, XPS, TEM, BET); designing a photocatalytic reactor and light source, gas sampling and GC quantification, and metrics (quantum efficiency, selectivity, TON/TOF); outlining DFT/periodic modeling of band structure, adsorption energies, and reaction pathways; linking computational predictions to experimental validation, data analysis, uncertainty estimation, and safety/environmental considerations.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.