This research shows that pauses in information streams alter decision-making. After a break, the brain increases effort, giving greater weight to subsequent information—a “peak-after-break” effect. A computational model explains this as a performance-effort tradeoff. Findings challenge traditional theories and suggest strategic pauses can shape attention, memory, and judgment.

This research uses a traffic analogy to explain gas transport challenges in carbon dioxide electrolysis devices. Despite identical porosity, microstructural connectivity determines performance under flooding conditions. Computational modelling reveals how pathway structure affects efficiency, guiding design improvements that enhance CO₂ conversion into fuels and chemicals, supporting scalable and cleaner energy technologies.

This research uses atomic-scale computer simulations to design safer, more efficient battery electrolytes. By modelling ion movement like a “river” inside a battery, the project identifies top-performing materials before laboratory testing. The goal is to create faster-charging, higher-capacity, non-toxic batteries that support global renewable-energy transitions and a net-zero future.