The potential energy landscape provides a conceptual and computational framework for
investigating structure, dynamics and thermodynamics in atomic and molecular science.
This talk will summarise new approaches for global optimisation, quantum dynamics,
the thermodynamic properties of systems exhibiting broken ergodicity, and rare
event dynamics. Applications will be presented that range from prediction and
analysis of high-resolution spectra, to coarse-grained models and design principles
for self-assembly of mesoscopic structures, with recent results for machine learning landscapes.