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Housing and Development Newsletter The approach relied on a genetic algorithm that “evolved” surface patterns in a way similar to natural selection, optimizing them toward a particular function goal. Through simulations, the team discovered that surface affinity was poorly correlated to conventional methods of solute hydrophobicity, such as how soluble a solute is in water. Instead, they found a stronger connection between surface affinity and the way that water molecules near a surface or near a solute change their structures in response. In some cases, these neighboring waters were forced to adopt structures that were unfavorable; by moving closer to hydrophobic surfaces, solutes could then reduce the number of such unfavorable water molecules, providing an overall driving force for affinity.

United statesJacob monroeSanta barbaraJohne myersEnergy frontier research centerLawrence berkeley national laboratoryUs department of energyUniversity of texas at austinNational institute of standardsProceedings of the national academy sciencesEnergy systemsNational academyNational instituteLawrence berkeley nationalNoozhawk comLocal news