Session 6: Theme - Climate, Materials & Space
Running from 11.20-12.30
- Can we trust an ML model with high predictive skill if it is physically inconsistent? On inductive biases and generalization in ML-based weather prediction models (Maren Hover)
- Forecasting temperature-associated mortality and excess deaths with neural networks (Jowan Fromentin)
- Higher-order statistics of the gravitational wave background from Pop III.1 supermassive black hole mergers (Lana Alabbasi)
- Simplicity wins: the hidden information bias in self-assembling materials (Prarthana Agrawal)
- Physical intelligence beyond algorithms: how origami structures give robots smarter bodies (Chenying Liu)
- Modelling and assessment of ammonia reduction of iron ores in the shaft furnace (Xuesong Lu)