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Biological systems perform an astonishing array of dynamical processes -- including development and repair, regulation, behavior and motor control, sensing and signaling, and adaptation, among others. Powered by the transduction of stored…

Soft Condensed Matter · Physics 2025-09-04 James Clarke , Jake McGrath , Colin Johnson , José Alvarado

The design of complex materials and the formation of specific patterns often arise from the properties of the individual building blocks. In this respect, colloidal systems offer a unique opportunity because nowadays they can be synthesized…

Soft Condensed Matter · Physics 2022-03-01 Fabrizio Camerin , Emanuela Zaccarelli

The applicability of computational models to the biological world is an active topic of debate. We argue that a useful path forward results from abandoning hard boundaries between categories and adopting an observer-dependent, pragmatic…

Multiagent Systems · Computer Science 2022-12-22 Joshua Bongard , Michael Levin

Machine-learning (ML) techniques have revolutionized a host of research fields of chemical and materials science with accelerated, high-efficiency discoveries in design, synthesis, manufacturing, characterization and application of novel…

Materials Science · Physics 2021-08-31 Zhexu Xi

Nanomechanical systems offer a versatile platform for both fundamental science and industrial applications. Resonating vibration has been demonstrated to enable an ultrasensitive detection of various physical quantities, with emerging…

Successful assembly of suspended nanoscale rod-like particles depends on fundamental phenomena controlling rotational and translational diffusion. Despite the significant developments in fluidic fabrication of nanostructured materials, the…

Soft Condensed Matter · Physics 2018-01-25 Christophe Brouzet , Nitesh Mittal , L. Daniel Söderberg , Fredrik Lundell

Recently emerged technologies based on Deep Learning (DL) achieved outstanding results on a variety of tasks in the field of Artificial Intelligence (AI). However, these encounter several challenges related to robustness to adversarial…

Neural and Evolutionary Computing · Computer Science 2023-08-01 Gabriele Lagani , Fabrizio Falchi , Claudio Gennaro , Giuseppe Amato

Bacteria are easily characterizable model organisms with an impressively complicated set of capabilities. Among their capabilities is quorum sensing, a detailed cell-cell signaling system that may have a common origin with eukaryotic…

Neurons and Cognition · Quantitative Biology 2017-09-14 Archana Ram , Andrew Lo

Plasmon nanoantennas are extensively used with molecular systems for the chemical and biological ultra-sensing, for boosting the molecular emissive and energy transfer properties, for the nanoscale catalysis, and for building advanced…

Pure and homogeneous biological macromolecules (i.e. proteins, nucleic acids, protein-protein or protein-nucleic acid complexes, and functional assemblies such as ribosomes and viruses) are the key for consistent and reliable biochemical…

Biomolecules · Quantitative Biology 2017-11-28 Bernard Lorber

Molecular electronics is envisioned as a promising candidate for the nanoelectronics of the future. More than a possible answer to ultimate miniaturization problem in nanoelectronics, molecular electronics is foreseen as a possible way to…

Mesoscale and Nanoscale Physics · Physics 2011-08-18 Dominique Vuillaume

One of the major goals of nanobionics and bottom-up synthetic biology is the development of artificial cell organelles for the creation of cell-like structures operating similar to biological systems with a minimalistic set of building…

Subcellular Processes · Quantitative Biology 2019-11-18 Günther Knör

This article is a reflection on the themes of the Faraday Discussion meeting on "Biological and bio-inspired optics" held from 20 to 22 July 2020. It is a personal perspective on the nature of this field as a broad and interdisciplinary…

Soft Condensed Matter · Physics 2026-02-10 G. E. Schroeder-Turk

Artificial nanowalkers are inspired by biomolecular counterparts from living cells, but remain far from comparable to the latter in design principles. The walkers reported to date mostly rely on chemical mechanisms to gain a direction; they…

In the close vicinity of a chiral nanostructure, the circular dichroism of a biomolecule could be greatly enhanced, due to the interaction with the local superchiral fields. Modest enhancement of optical activity using a planar…

The unique properties and atomic thickness of two-dimensional (2D) materials enable smaller and better nanoelectromechanical sensors with novel functionalities. During the last decade, many studies have successfully shown the feasibility of…

Driven by advancements in high-throughput biological technologies and the growing number of sequenced genomes, the construction of in silico models at the genome scale has provided powerful tools to investigate a vast array of biological…

Molecular Networks · Quantitative Biology 2009-12-16 Caroline B. Milne , Pan-Jun Kim , James A. Eddy , Nathan D. Price

When pursuing sustainable approaches to fabricate photonic structures, nature can be used as a source of inspiration for both the nanoarchitecture and the constituent materials. Although several biomaterials have been promised as suitable…

Soft Condensed Matter · Physics 2022-07-06 Richard M. Parker , Tianheng H. Zhao , Bruno Frka-Petesic , Silvia Vignolini

In the past 40 years, single-molecule techniques have been rapidly developed and widely applied in numerous fields of biology researches, offering new insights that conventional biochemical assays cannot discover. In this review, to help…

Biological Physics · Physics 2025-07-18 Huang Tang , Shuting Liu , Chenyue Kang , Xiang Wang , Xi Zhang , Kun Li , Gege Duan , Zheng Li , Boyang Hua

Functional nanoparticles (NPs) have gained significant attention as a promising application in various fields, including sensor, smart coating, drug delivery, and more. Here, we propose a novel mechanism assisted by machine-learning…

Soft Condensed Matter · Physics 2024-08-06 Changhuang Huang , Kechun Bai , Yanyan Zhu , David Andelman , Xingkun Man
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