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Photoactive nematic elastomers are soft rubbery solids that undergo deformation when illuminated. They are made by incorporating photoactive molecules like azobenzene into nematic liquid crystal elastomers. Since its initial demonstration…

Soft Condensed Matter · Physics 2020-11-03 Ruobing Bai , Kaushik Bhattacharya

Use of resonant light forces opens up a unique approach to high-volume sorting of microspherical resonators with much higher uniformity of resonances compared to that in coupled-cavity structures obtained by the best semiconductor…

We describe a computational model for studying the complexity of self-assembled structures with active molecular components. Our model captures notions of growth and movement ubiquitous in biological systems. The model is inspired by…

Data Structures and Algorithms · Computer Science 2013-01-15 Damien Woods , Ho-Lin Chen , Scott Goodfriend , Nadine Dabby , Erik Winfree , Peng Yin

Scaffolds have a key role in the clinical success of tissue engineering for the regeneration of damaged tissues. Their bio-performance is often described as the extent to which they can provide an extracellular matrix-like environment for…

Biological Physics · Physics 2026-02-03 A. M. Maadani , F. Davoodian , E. Salahinejad

Polymer brushes and grafted polymers have attracted significant interest at the intersection of polymers, interfacial chemistry, colloidal science, and nanostructuring. The confinement of high-density grafted polymers and differences in…

Soft Condensed Matter · Physics 2026-02-17 Rigoberto C. Advincula , Jihua Chen

Stochastic geometry provides a powerful framework for modelling complex random structures, with applications in physics, materials science, biology, and other fields. The three-dimensional microstructure of polycrystalline materials is…

Mathematical Physics · Physics 2025-07-22 Oleksandr Kornijčuk , Luděk Heller , Zbyněk Pawlas , Viktor Beneš

Despite the tremendous progresses in wavefront control through or inside complex scattering media, several limitations prevent reaching practical feasibility for nonlinear imaging in biological tissues. While the optimization of nonlinear…

Optics · Physics 2016-12-06 Hilton B. de Aguiar , Sylvain Gigan , Sophie Brasselet

The investigation of spatio-temporal dynamics of bacterial cells and their molecular components requires automated image analysis tools to track cell shape properties and molecular component locations inside the cells. In the study of…

Computer Vision and Pattern Recognition · Computer Science 2016-12-23 Jean-Pascal Jacob , Mariella Dimiccoli , Lionel Moisan

Living tissues show an extraordinary adaptiveness to strain, which is crucial for their proper biological functioning. The physical origin of this mechanical behaviour has been widely investigated using reconstituted networks of collagen…

Soft Condensed Matter · Physics 2019-02-25 Federica Burla , Justin Tauber , Simone Dussi , Jasper van der Gucht , Gijsje H. Koenderink

Photolithography conventionally requires flat, rigid and stable substrates, limiting its applications in flexible, curved, and transient electronics. In this study, a breakthrough approach is reported that employs a reversibly…

Applied Physics · Physics 2026-03-03 Qinhua Guo , Zhiqing Xu , Lizhou Yang , Jingyang Zhang , Yawen Gan , Jiajun Zhang , Jiahao Jiang , Yunda Wang

Nowadays, multiscale modelling is recognized as the most suitable way to study biological processes. Indeed, almost every phenomenon in nature exhibits a multiscale behaviour, i.e., it is the outcome of interactions that occur at different…

Formal Languages and Automata Theory · Computer Science 2011-08-18 Federico Buti , Massimo Callisto De Donato , Flavio Corradini , Emanuela Merelli , Luca Tesei

Organic semiconductors are promising materials for cheap, scalable and sustainable electronics, light-emitting diodes and photovoltaics. For organic photovoltaic cells, it is a challenge to find compounds with suitable properties in the…

Materials Science · Physics 2023-03-06 Christopher Gaul , Santiago Cuesta-Lopez

A method for the analysis of superresolution microscopy images is presented. This method is based on the analysis of stochastic trajectories of particles moving on the membrane of a cell with the assumption that this motion is determined by…

Optimization and Control · Mathematics 2023-11-09 Mario Annunziato , Alfio Borzì

Multiphase field models have emerged as an important computational tool for understanding biological tissue while resolving single-cell properties. While they have successfully reproduced many experimentally observed behaviors of living…

Soft Condensed Matter · Physics 2025-02-13 Michael Chiang , Austin Hopkins , Benjamin Loewe , Davide Marenduzzo , M. Cristina Marchetti

Analysis of molecular scale interactions and chemical structure offers an enormous opportunity to tune material properties for targeted applications. However, designing materials from molecular scale is a grand challenge owing to the…

Materials Science · Physics 2021-11-19 Praneeth S Ramesh , Tarak K Patra

We have developed a dynamic self-consistent field theory, without any adjustable parameters, for unentangled polymer blends under shear. Our model accounts for the interaction between polymers, and enables one to compute the evolution of…

Soft Condensed Matter · Physics 2009-11-10 Tak Shing Lo , Maja Mihajlovic , Yitzhak Shnidman , Wentao Li , Dilip Gersappe

We present a statistical mechanical study of stiff polymers, motivated by experiments on actin filaments and the considerable current interest in polymer networks. We obtain simple, approximate analytical forms for the force-extension…

Soft Condensed Matter · Physics 2009-11-13 Abhijit Ghosh , Joseph Samuel , Supurna Sinha

In this study the possibility of combining commercial Scanning Force Microscopes (SFM) with stretching devices for the investigation of microscopic surface changes during stepwise elongation is investigated. Different types of stretching…

Soft Condensed Matter · Physics 2013-12-11 Sabine Hild , Armin Rosa , Othmar Marti

Macromolecules can gain special properties by adopting knotted conformations, but engineering knotted macromolecules is a challenging task. Here we surprisingly observed that knotting can be very effectively produced in active polymers.…

Soft Condensed Matter · Physics 2024-12-10 Jia-Xiang Li , Song Wu , Li-Li Hao , Qun-Li Lei , Yu-Qiang Ma

Polymers, macromolecules formed from covalently bonded monomers, underpin countless technologies and are indispensable to modern life. While deep learning is advancing polymer science, existing methods typically represent the whole polymer…

Machine Learning · Computer Science 2025-10-21 Fanmeng Wang , Shan Mei , Wentao Guo , Hongshuai Wang , Qi Ou , Zhifeng Gao , Hongteng Xu
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