The Statistical materials modelling group lead by Prof. Stefano Zapperi at the Department of Physics of the University of Milan focuses on the study of materials through computational, statistical and data science approaches. Research on complex systems in done within the Center for Complexity and Biosystems where the team collaborates with Oncolab lead by Prof. Caterina La Porta. Technology transfer in the broad area of big data analytics is done by the spinoff Complexdata. Research on automatic design of mechanical metamaterials is supported by the ERC.
Designing 3D printed actuators by artificial intelligence
Mechanical metamaterials actuators achieve pre-determined input-output operations exploiting architectural features encoded within a single 3D printed element…
Predicting failure using AI
Being able to predict when and where a material will fracture is a key issue with important industrial implications in the area of device and component monitoring. Researchers from the Center for Complexity and Biosystems ..
Paper on digital materials design featured on the cover of APL materials
Our paper on the “Digital strategies for structured and architected materials design” was features in the cover of the journal APL Materials. The paper is avaialble in open access
Features of the book
•Provides a comprehensive overview of key concepts and theoretical models
•Explores the many applications of the theory of crackling noise in materials science
•Includes expansive discussions considering implications for the life sciences
This book is the first to discuss exaptation in both hard and soft disciplines and highlights the role of this concept in understanding the birth of innovation by identifying key elements and ideas. It also offers a comprehensive guide to the emerging interdisciplinary field of exaptation, provides didactic explanations of the basic concepts, and avoids excessive jargon and heavy formalism. Its target audience includes graduate students in physics, biology, mathematics, economics, psychology and architecture; it will also appeal to established researchers in the humanities who wish to explore or enter this new science-driven interdisciplinary field.
Readers will find a detailed discussion of the properties of individual and collective cell migration, including the associated biochemical regulation and important biophysical and biomechanical aspects. The book includes information on the latest experimental techniques employed to study cell migration, from microfluidics to traction force microscopy, as well as the latest theoretical and computational models used to interpret the experimental data. Finally, the role of cell migration in cancer and in development is also reviewed.
The contents of this work should appeal to students and researchers in biology and biophysics who want to get up to date on the latest interdisciplinary development in this broad field of research. The chapters are written in a self-contained form and can also be used as individual articles.