Environment Optimiser
Where on early Earth (or elsewhere) was life most likely to begin? Explore different environments — deep-sea vents, warm ponds, ice surfaces, volcanic hot springs — and use AI to find the optimal conditions for life's emergence.
Understanding Early Earth Environments
The early Earth (~4 billion years ago) was dramatically different from today: no oxygen in the atmosphere, intense UV radiation, frequent meteorite impacts, widespread volcanism, and a young, hot interior. Different hypotheses for the origin of life favour different environments, each with unique advantages for prebiotic chemistry.
Competing Hypotheses
Alkaline Hydrothermal Vents
Championed by Mike Russell and Nick Lane. Lost City-type vents provide: natural proton gradients (pH 5 ocean vs pH 10 vent fluid), iron-nickel sulfide catalysts, continuous energy flux, and protected microporous chambers. The proton gradient mirrors modern chemiosmotic ATP synthesis.
Warm Little Ponds
Darwin's original idea, updated with modern chemistry. Shallow ponds undergo wet-dry cycles that concentrate reactants and drive polymerisation (like forming RNA from nucleotides). UV light provides energy for key reactions. Meteorites deliver organic molecules directly.
Ice Worlds
Counterintuitively, ice can help. As water freezes, solutes concentrate in tiny liquid pockets (eutectic phases), dramatically increasing reaction rates. RNA polymerisation has been demonstrated in ice. Early Earth or icy moons (Europa, Enceladus) could provide these conditions.
Extraterrestrial Delivery
Meteorites (especially carbonaceous chondrites like the Murchison meteorite) contain amino acids, nucleobases, and other organics. Comets carry water and simple molecules. Some of life's building blocks may have arrived from space rather than being synthesised on Earth.
AI Analysis Tools
Multi-Parameter Sweep
Bayesian optimisation over temperature, pH, salinity, mineral composition, UV flux, and wet-dry cycling to maximise protocell complexity.
Bayesian OptMulti-ObjectiveScenario Comparison
Compare alkaline vent, warm little pond, iron-sulfur world, and RNA world scenarios. Rank by probability of generating self-replicating systems.
Scenario RankingSensitivity AnalysisDay-Night & Seasonal Cycles
Investigate how periodic environmental forcing (temperature cycling, UV pulses, tidal wet-dry) drives polymerisation and selection dynamics.
Periodic ForcingOscillatory Chemistry