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Brownian motion: a paradigm of soft matter and biological physics [PDF]
Annals of Physics, 2005 This is a pedagogical introduction to Brownian motion on the occasion of the 100th anniversary of Einstein's 1905 paper on the subject. After briefly reviewing Einstein's work in a contemporary context, we pursue several lines of further developments and
Erwin Frey, Klaus Kroy
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Biological physics by high-speed atomic force microscopy [PDF]
Philosophical Transactions of the Royal Society A, 2020 While many fields have contributed to biological physics, nanotechnology offers a new scale of observation. High-speed atomic force microscopy (HS-AFM) provides nanometre structural information and dynamics with subsecond resolution of biological systems.
Ignacio Casuso +2 more
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Non-covalent interactions across organic and biological subsets of chemical space: Physics-based potentials parametrized from machine learning [PDF]
Journal of Chemical Physics, 2017 Classical intermolecular potentials typically require an extensive parametrization procedure for any new compound considered. To do away with prior parametrization, we propose a combination of physics-based potentials with machine learning (ML), coined ...
Tristan Bereau +3 more
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Physics Today, 2005 Biological physics courses can serve a variety of students, among them life-sciences students who need to understand the role of physical principles in the world of biology.
Goldstein, Raymond E +2 more
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, 1998 Major goals of biological physics are the understanding of biological systems in physical terms and the study of concepts and laws of complex systems.
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Soft Matter and Biological Physics [PDF]
The European Physical Journal E, 2009 Jones, R., Jülicher, F., Maret, G.
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From biologically-inspired physics to physics-inspired biology [PDF]
Journal of Physics: Condensed Matter, 2010 Alexei A. Kornyshev
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Physical Review Letters, 2023 The field of soft matter physics has expanded rapidly over the past several decades, as physicists realize that a broad set of materials and systems are amenable to a physical understanding based on the interplay of entropy, elasticity, and geometry. The
M. Manning
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The physics of higher-order interactions in complex systems [PDF]
Nature Physics, 2021 Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, whereas real-world systems are often characterized by higher-order ...
F. Battiston +13 more
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Can physics-informed neural networks beat the finite element method? [PDF]
IMA Journal of Applied Mathematics, 2023 Partial differential equations (PDEs) play a fundamental role in the mathematical modelling of many processes and systems in physical, biological and other sciences.
T. G. Grossmann +3 more
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