Metadata
Science Any Level Create Hard-
Subject
Science
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Education level
Any Level
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Cognitive goals
Create
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Difficulty estimate
Hard
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Tags
photocatalysis, CO2 reduction, experimental design, computational modeling, materials characterization, reproducibility
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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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.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.