Topic: predictive computation

Supports basic materials research across biomaterials, ceramics, condensed-matter theory and physics, electronic and photonic materials, metals and metallic nanostructures, polymers, and solid-state and materials chemistry. Both hard and soft matter, predictive computation and simulation, synthesis, and structure–property relationships are within scope. Full proposals are accepted at any time. Programme budgets are not individual award caps.

Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of the light field that reaches our eyes; temporal resolution is limited by transmission noise and delays, and spatial resolution is limited by the finite number of photoreceptors and output cells in the retina. Classical efficient coding theory describes how sensory systems can maximize information transmission given such capacity constraints, but it treats all input features equally. Not all inp