Soft Materials Modelling
Group led by Professor Maria Sammalkorpi
Students, researchers and professors alike gathered for a three-day, cross disciplinary workshop at Aalto University on August 16-18, 2023. Participants travelled from around the globe, including leading experts hailing from across Europe, the United States, and Asia.
The organizing groups included Aalto University, the University of Helsinki, and Loughborough University. The workshop focus covered the work of two Research Council of Finland Centers of Excellence: Life-Inspired Hybrid Materials (LIBER) and
The workshop鈥攖itled 鈥攆eatured talks covering topics including meso- and microscopic organisms鈥 swimming behaviour, bacterial motility in liquid, soft matter physics of cellular aggregates, among a host of other topics. Discussions covered both theoretical and experimental researchers, allowing for exciting dialogue between experts across the field.
See photo highlights from the event below, as well as anecdotes from attendees spanning the academic spectrum.
鈥淎s a doctoral student navigating the intersection of physics and biology via computational modelling, this workshop was a perfect opportunity to foster meaningful interdisciplinary discussions and possible collaborations that bridge the gap between simulations, theory and experiments in biological active systems.鈥
鈥擜dam Harmat, Doctoral student, Soft Materials Modelling Group, Aalto University
鈥淚 thoroughly enjoyed the workshop and found it highly inspiring. The event featured captivating talks by outstanding speakers on a diverse range of topics. As a master's student, I valued the opportunity to acquaint myself with a broader subset of the ongoing research in active and biological matter, as well as the accomplished researchers driving this work.鈥
鈥擡mil Str氓ka, M.Sc. student, Soft Materials Modelling Group, Aalto University
鈥淕reat interdisciplinary atmosphere and inspiring talks! The organizers managed to create a compact and cohesive workshop of an extensive field - which is impressive.鈥
鈥擳ytti K盲rki, Doctoral student, Active Matter Group, Aalto University
鈥淭he workshop was a very positive experience. The broad selection of topics presented and discussed gave light to the scale and range of the topics currently in the field of active and soft matter, which was very informative for me as a current Master student. In addition, the participation in practical duties of the workshop provided vital insight into creating and organizing a conference of this kind.鈥
鈥擲enna Luntama, M.Sc. student, Active Matter Group, Aalto University
"I was super excited to present my research and impressed by the many excellent talks that included both theoretical and experimental works in active matter physics. Three days were not enough time for me to interact with so many great researchers, so I strongly hope that a second workshop will be held in the future."
鈥擪azusa Beppu, Post-doctoral researcher, Active Matter Group, Aalto University
鈥淭his workshop was the first conference that I have ever participated. I learned a lot. I got a good overview of research in the field and of methods that I mostly was not familiar with before the workshop. I understood during the workshop how important it is for a researcher to be able to present their work clearly and interestingly.鈥
鈥擜ntti M盲kynen, B.Sc. student, Active Matter Group, Aalto University
Prof. , Aalto University (Active Matter Group)
Dr. , Aalto University ()
Prof. , Aalto University (Multiscale Statistical and Quantum Physics Group)
Prof. n, University of Helsinki ()
Dr. , Loughborough Univesity (Nonequilibrium Soft Matter Group)
Group led by Professor Maria Sammalkorpi
Research group working on physics of soft and living materials
LIBER aims to create dynamic and soft hybrid materials with a capability to learn, adapt or response to the environment. LIBER combines eight research groups with expertise on molecular self-assembly, soft robotics, surfaces and interfaces, genetic engineering of proteins, biotechnological production of engineered biomolecules, and computational modelling.