Great successes have been achieved in nanoscience where the development of functional properties and the assembly of nanostructures into nanomaterials have become increasingly important. In general, both the tuning of the chemical and physical properties and the self-assembly of nanocrystals into 2D or 3D superstructures take place in a liquid environment. When analysing the structural properties of nanocrystals using Transmission Electron Microscopy (TEM), this liquid environment is contained between membranes to keep it in the high vacuum. At present, the thickness of the liquid is not controlled, which renders standard imaging at atomic resolution impossible. Here I propose to integrate micro-electromechanical actuator functionalities in the Liquid Cell chips to overcome this problem so that real-time atomic resolution imaging and chemical analysis on nanoparticles in solution becomes a reality. This new in-situ technology will elucidate what really happens during chemical reactions, and will thereby enable the development of new nanomaterials for optoelectronics, lighting, and catalysis. Oriented attachment processes and self-assembly of nanoparticles, which are key to the large-scale production of 2D and 3D nanomaterials, can also be followed in the Liquid Cell. Furthermore, the hydration of nanoscale model systems of earth materials such as magnesia, alumina, and calcium oxide is of major importance in the geosciences. In the field of enhanced oil recovery, for example, the huge volumetric expansion that comes with the hydration of these minerals could facilitate access to reservoirs. My research group has extensive experience in in-situ TEM and recently has achieved significant successes in Liquid Cell studies. We are in an ideal position to develop this new technology and open up these new research areas, which will have a major impact on science, industry, and society.

Music is an art form with a very long history, and continues to engage millions of people today. Music Information Retrieval (MIR), the exciting interdisciplinary science that brings together music and computer science, is a growing field of research with the potential to enrich computer science knowledge while creating real-world applications that everyone can benefit from. While the marriage of art and science is often troublesome, MIR has the benefit that many aspects of music are highly structural and have been subject to formalisation for a long time. Formalisation and computers go hand in hand, and MIR researchers have therefore been developing models of musical structure for many years, and putting them to use in several applications. However, such models, so far, have had limited impact; they're commonly restricted to one specific aspect of music, can be hard to implement computationally, and are often too technical to be used directly by musicologists who are not familiar with programming details. However, models are valuable. Unlike machine learning approaches, model-based MIR provides a real insight about the underlying structure, and can benefit from the input of musicologist experts. Furthermore, a single model can be applied to multiple important MIR tasks. The research goal of this project is thus to give musical models the impact they deserve, advancing the practical embodiment of hierarchical musical structure-in its various forms-in computer science through the development of new, functional Models of Structure in Music (MoStMusic). Specifically, I intend to develop functional models of musical form, melody, and harmony that enable an easy, fast, and flexible way of creating model-enhanced MIR applications. As a showcase of such an application, I will create an online music analyser that automatically computes the structure present in a user-submitted piece, and displays it in an interactive interface that highlights the structural shape of music.

Asia’s mountain ranges are the world’s most important water towers, often referred to as the planet’s Third Pole. Precipitation in these mountains feeds glaciers and snow fields and generates river flow, which sustains millions of people downstream. Precipitation also triggers natural hazards such as floods, landslides and avalanches, which cause enormous human and economic losses. Despite the importance of high-altitude precipitation, we lack a fundamental understanding of the mechanisms that control its distribution and how it changes. We need this to elucidate the water cycle at the Third Pole. DROP will close this knowledge gap by showing how the mountains, feedback from land surfaces and large-scale circulation control the magnitude and spatiotemporal distribution of high-altitude snow and rain. New field observations at extreme altitudes and state-of-the-art atmospheric modelling will provide a comprehensive picture for the entire Third Pole at a wide range of scales. At the smallest scale, a high-altitude ice core and meteorological observations will provide key insights into past accumulation trends. At the valley scale, I will combine dense observations of precipitation and high-altitude snow accumulation with atmospheric simulations to gain insight into snow and rainfall patterns. At the scale of the entire Third Pole, I will conduct state-of-the-art atmospheric model experiments, combined with in-situ observations in regional transects and remote sensing to understand how the extreme topography, land surface feedback and moisture recycling control snow and rain patterns. DROP will provide a long-awaited scientific step forward in understanding mountain precipitation in a region where this is of vital importance for water security and disaster risk reduction for millions of people.

Providing clean water and energy simultaneously to a growing global population and under a changing climate is a major challenge. The demand for the two and their systemic interdependencies are particularly strong during droughts and heatwaves. Despite the recent growth in water-energy nexus studies, there is little fundamental understanding of the cascading effects and feedbacks between water and energy systems during extreme weather events. Because existing global model approaches mainly focus on whole-system optimisation and are based on coarse spatiotemporal water and energy system representations, we lack understanding on how water-energy system processes cascade in time and space under a changing climate and extremes. Yet such understanding is urgently needed so that we can balance clean water and energy provision in our changing world in which climate shocks are increasing. In B-WEX, I will develop spatially explicit pathways that reveal how the provision of clean water and energy can be balanced under various water management and energy transition developments, including the feedbacks and cascading mechanisms under present to future droughts and heatwaves in regions worldwide. With my team, I will build a novel global framework which will be the first to integrate high spatiotemporal resolution models of hydrology, water quality, water use and energy systems to estimate how water and energy system processes cascade in time and space. Together with key actors, we will also develop quantitative water management and energy transition (climate action) pathways, which we will then combine with our new framework, enabling us to estimate trade-offs between water and energy systems during present to future droughts and heatwaves. The B-WEX project will greatly deepen our understanding of the cascading effects and feedbacks between clean water and energy systems development that occur under changing climate and extremes, and including climate mitigation actions.