Theoretical Foundations of Multiscale Modelling

Bold new perspectives on a complex field: Theoretical Foundations of Multiscale Modelling by Michele Cascella and Raffaello Potestio is an essential volume for researchers, engineers, and advanced students seeking a rigorous yet accessible treatment of multiscale modelling theory.

From the first pages you’re drawn into clear explanations of coarse-graining, hierarchical coupling, and rigorous upscaling methods that bridge atomistic, mesoscale, and continuum descriptions. The authors balance mathematical precision with physical intuition, unpacking key concepts such as scale separation, effective interactions, renormalization ideas, and error quantification in a way that supports implementation and further research. Practical examples from materials science, soft matter, and biophysics illustrate how theoretical frameworks translate into real-world simulations and predictive models.

This book stands out for its emphasis on foundational principles that underpin contemporary multiscale approaches. Readers will gain a deeper understanding of when and why different coupling strategies succeed or fail, how to derive consistent reduced models, and how to assess uncertainty across scales. The clear notation, worked derivations, and synthesis of recent advances make it an ideal reference for anyone developing or applying multiscale methods.

Whether you are based in Europe, North America, Asia, or Latin America, this title delivers globally relevant insights for academic and industrial settings. Add Theoretical Foundations of Multiscale Modelling to your library to strengthen your theoretical toolkit and elevate your modelling practice. Order now to advance your research, guide your simulations, and connect theory with application.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.