Computational Soft Matter
The research group led by Assistant Professor Alberto Scacchi tackles contemporary challenges in the realm of soft (bio)materials.
We apply state-of-the-art modelling approaches, including computer simulations and theoretical methods, to understand complex phenomena in soft matter. Our research spans phase separation in biological systems, such as liquid–liquid phase separation of proteins, as well as technologies supporting the green transition, including the development of bio-based materials and water purification systems. We also investigate rheology modifiers for sustainable formulations and explore protein–electrode interactions to advance health-related sensor technologies.
Current Projects
This project aims to develop a predictive tool for a low-cost, simple, and eco-friendly water purification technique based on polymeric aqueous two-phase systems. This approach leverages the phase separation of polymer mixtures to efficiently purify water.
Funded by the Jane and Aatos Erkko Foundation (2024–2026)
We seek to explore molecular liquid-liquid phase separation (LLPS) using coarse-grained simulation techniques. LLPS involves the reorganization of a macromolecular solution at the molecular level into multiple coexisting liquid phases with distinct compositions, such as droplets or aggregates. This phenomenon plays a crucial role in numerous biotechnological applications, including biological adhesives for tissue repair, smart therapeutic delivery systems, and the development of sustainable biocomposites.
Funded by the Novo Nordisk Foundation (2023–2026)
The SUSMAT university profiling measure enhances the design of sustainable materials and manufacturing with data-driven approach to solve global energy, health, and well-being, and industrial production challenges.
SUSMAT is a collaboration between the Department of Mechanical and Materials Engineering, Department of Physics and Astronomy, Department of Chemistry, Department of Life Sciences, and Department of Dentistry in University of Turku.
The tenure track position of Alberto Scacchi is primarily funded by PROFI7/SUSMAT. Two doctoral students in his group are also partially funded by SUSMAT.
PROFI7/SUSMAT is funded by the Research Council of Finland (2023–2028).
