ERC FUNDED PROJECTS

Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.

2 325 292 €

Start date: 2018-06-01, End date: 2023-05-31

Imagine a technology for powering your smart devices by recovering energy from lights in your office, the random movements of your body while reading these lines or from small changes in temperature when you breathe or go out for a walk. This very technology will provide energy for wireless sensor networks monitoring the air in your city or the structural stability of buildings and large constructions remotely and sustainably, avoiding battery recharging or even replacing them. These are the challenges in micro energy harvesting from (local) ambient sources. Kinetic, thermal and solar energies are ubiquitous at our surroundings under diverse forms, but their relatively low intensity and intermittent availability limit their potential recovery by microscale devices. These restrictions call for multi-source energy harvesters working under two principles: 1) combining different single-source harvesters in one device, or 2) using multifunctional materials capable of simultaneously converting various energy sources into electricity. In 1), efficiency per unit volume can decrease compared to the individual counterparts; in 2), materials as semiconductors, polymeric and oxide ferroelectrics and hybrid perovskites may act as multisource harvesters but huge advances are required to optimize their functionalities and sustainable fabrication at large scale. I propose to fill the gap between these approaches offering an all-in-one solution to multisource energy scavenging, based on the nanoscale design of multifunctional three-dimensional materials. The demonstration of an industrially scalable one-reactor plasma/vacuum method will be crucial to integrate hybrid-scavenging components and to provide 3DScavengers materials with tailored microstructure-enhanced performance. My ultimate goal is to build nanoarchitectures for simultaneous and enhanced individual scavenging applying photovoltaic, piezo- and pyro-electric effects, minimizing the environmental cost of their synthesis

1 498 414 €

Start date: 2020-03-01, End date: 2025-02-28

Sensors are ubiquitous in the modern technological world. From the numerous sensors everyone carries within their smartphone, through the pervasive nature of sensors within human machines, to the oncoming explosion of the “Internet of Things” promising immense interconnected networks of sensor enabled systems in virtually every aspect of human life. Micro-electro-mechanical systems (MEMS) as silicon integrated circuits (ICs) are the base technology for nearly all such sensors. In 2017 the worldwide market for MEMS sensors was valued at 10.3€ Billion up from 8.5€ Billion in 2016. It is forecast to grow to 48.4€ Billion in 2024. The use of MEMS ICs provides large-scale manufacture of very cheap sensors. However, there are also many disadvantages. They do not easily provide for rapid and localised/distributed manufacture and implementation. Prototyping requires multi-user foundry platforms or the availability of local facilities, both of which can be relatively expensive, and time consuming, for short runs of prototypes. There are also limitations to what can be achieved. For example, it is very difficult and expensive to make 3D MEMS silicon structures, and there are many issues with liquid interfacing of such systems. 3D printing to make relatively small structures is not new, and various groups have recently reported functionalized polymers. This project will produce 3D printed transducers using 3D printing techniques from the SASATIN ERC project. The 3D printing arrangement does not rely on specific materials purchased from the printer manufacturer.

146 334 €

Start date: 2018-07-01, End date: 2019-12-31

The goal of this project is to develop a mathematical theory for steady three-dimensional water waves with vorticity. The mathematical model consists of the incompressible Euler equations with a free surface, and vorticity is important for modelling the interaction of surface waves with non-uniform currents. In the two-dimensional case, there has been a lot of progress on water waves with vorticity in the last decade. This progress has mainly been based on the stream function formulation, in which the problem is reformulated as a nonlinear elliptic free boundary problem. An analogue of this formulation is not available in three dimensions, and the theory has therefore so far been restricted to irrotational flow. In this project we seek to go beyond this restriction using two different approaches. In the first approach we will adapt methods which have been used to construct three-dimensional ideal flows with vorticity in domains with a fixed boundary to the free boundary context (for example Beltrami flows). In the second approach we will develop methods which are new even in the case of a fixed boundary, by performing a detailed study of the structure of the equations close to a given shear flow using ideas from infinite-dimensional bifurcation theory. This involves handling infinitely many resonances.

1 203 627 €

Start date: 2016-03-01, End date: 2022-02-28