ERC Advanced Grant · 2020
Monte-Carlo Determination of Causation in Turbulence
Simulations have driven many recent scientific advances. In the case of the physics of fluid turbulence, they have involved some of the most expensive computations at any time, but faster computers now permit meaningful simulations to run in minutes in a modest machine. This proposal centres on exploring the role of simulations in this limit of ‘zero’ computing cost, and on the analysis of the resulting data. What ‘free’ simulations allow is ‘Monte-Carlo’ research, in which ideas are ‘randomly’ tested and only evaluated afterwards, in the hope that some of them be fruitful. Their main advantage is to alleviate ‘paradigm lock’, in which radically new ideas are unlikely to get tested and…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.