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Multivalent particles, i.e. microscopic constructs having multiple ligands, can be used to target surfaces selectively depending on their receptor density. Typically, there is a sharp onset of multivalent binding as the receptor density…

Soft Condensed Matter · Physics 2019-06-05 Nicholas B. Tito

CO adsorption on an Au monatomic chain is studied within density functional theory in nanocontact geometries as a function of the contact stretching. We compare the bridge and atop adsorption sites of CO, finding that the bridge site is…

Mesoscale and Nanoscale Physics · Physics 2012-05-23 Gabriele Sclauzero , Andrea Dal Corso , Alexander Smogunov

We investigate the effective interactions between two nanoparticles (or colloids) immersed in a solvent exhibiting two-phase separation. Using a non-local density functional theory, we determine the dependence of the effective potential on…

Soft Condensed Matter · Physics 2015-03-12 Alexandr Malijevský

The theory of superconductivity in thin SN sandwiches (bilayers) in the diffusive limit is developed within the standard Usadel equation method, with particular emphasis on the case of very thin superconductive layers, d_S << d_N. The…

Superconductivity · Physics 2007-05-23 Ya. V. Fominov , M. V. Feigel'man

We study phase behaviours of lipid--bilayer vesicles functionalised by ligand--receptor complexes made of synthetic DNA by introducing a modelling framework and a dedicated experimental platform. In particular, we perform Monte Carlo…

Soft Condensed Matter · Physics 2016-08-23 S. J. Bachmann , J. Kotar , L. Parolini , A. Šarić , P. Cicuta , L. Di Michele , B. M. Mognetti

The measurement of adhesion energy between nanolayers and substrates holds significant importance for the design, fabrication, and stability assessment of micro-/nanoscale devices relying on nanolayers. In this study, we propose a…

Applied Physics · Physics 2023-12-21 Xiaodong Song , Lizhen Hou , Ruizhe Liu , Noman Akhtar , Peng Wang , Shiliang Wang

The adsorption of metal atoms on nanostructures, such as graphene and nanotubes, plays an important role in catalysis, electronic doping, and tuning material properties. Quantum chemical calculations permit the investigation of this process…

Mesoscale and Nanoscale Physics · Physics 2020-02-18 Christoph Rohmann , Maicol A. Ochoa , Michael Zwolak

Oversampling is a common characteristic of data representing dynamic networks. It introduces noise into representations of dynamic networks, but there has been little work so far to compensate for it. Oversampling can affect the quality of…

Social and Information Networks · Computer Science 2015-08-12 Benjamin Fish , Rajmonda S. Caceres

Metasurface based super absorbers exhibit near unity absorbance. While the absorption peak can be tuned by the geometry/size of the sub-wavelength resonator, broadband absorption can be obtained by placing multiple resonators of various…

Materials Science · Physics 2019-04-03 Arvind Nagarajan , Kumar Vivek , Manav Shah , Venu Gopal Achanta , Giampiero Gerini

The decreasing cost and improved sensor and monitoring system technology (e.g. fiber optics and strain gauges) have led to more measurements in close proximity to each other. When using such spatially dense measurement data in Bayesian…

Methodology · Statistics 2023-08-21 Ioannis Koune , Arpad Rozsas , Arthur Slobbe , Alice Cicirello

The effects of chemical disorder on the electronic and optical properties of semiconductor alloy multilayers are studied based on the tight-binding theory and single-site coherent potential approximation. Due to the quantum confinement of…

Mesoscale and Nanoscale Physics · Physics 2010-06-03 Alireza Saffarzadeh , Leili Gharaee

Surface adsorption, which is often coupled with surface dissolution, is generally unpredictable on alloys due to the complicated alloying and dissolution effects. Herein, we introduce the electronic gradient and cohesive properties of…

Materials Science · Physics 2021-08-26 Bo Li , Wang Gao , Qing Jiang

We investigate the mechanical properties of a doubly-clamped, double-layer nanobeam embedded into an electromechanical system. The nanobeam consists of a highly pre-stressed silicon nitride and a superconducting niobium layer. By measuring…

Mesoscale and Nanoscale Physics · Physics 2015-01-21 Fredrik Hocke , Matthias Pernpeintner , Xiaoqing Zhou , Albert Schliesser , Tobias J. Kippenberg , Hans Huebl , Rudolf Gross

A central challenge in nanoscale superconductivity is to understand and exploit the combined action of quantum confinement and proximity effects in experimentally realistic metallic heterostructures. We theoretically investigate…

Superconductivity · Physics 2026-03-27 Giovanni A. Ummarino , Alessio Zaccone

Experiments have reached a monumental capacity for designing and synthesizing microscopic particles for self-assembly, making it possible to precisely control particle concentrations, shapes, and interactions. However, more physical insight…

Soft Condensed Matter · Physics 2026-02-19 Maximilian C. Hübl , Thomas E. Videbæk , Daichi Hayakawa , W. Benjamin Rogers , Carl P. Goodrich

The mechanical properties of a disordered heterogeneous medium depend, in general, on a complex interplay between multiple length scales. Connecting local interactions to macroscopic observables, such as stiffness or fracture, is thus…

Soft Condensed Matter · Physics 2021-06-17 Arnaud Hemmerle , Yuta Yamaguchi , Marcin Makowski , Oliver Bäumchen , Lucas Goehring

From viruses to nanoparticles, constructs functionalized with multiple ligands display peculiar binding properties that only arise from multivalent effects. Using statistical mechanical modelling, we describe here how multivalency can be…

Selective adsorption in a two-dimensional model of a binary hard-disk mixture on patterned adhesive surfaces is studied using grand canonical Monte Carlo simulations. The two species have equal diameters and equal bulk chemical potentials,…

Soft Condensed Matter · Physics 2026-05-21 Nazar Kukarkin , Taras Patsahan

The self-assembly of polymer grafted nanoparticles is more and more used in the field of functional materials. However, there is still a lack of analysis on the dynamic transformation paths of different self-assembly morphologies, which…

Soft Condensed Matter · Physics 2026-02-09 Guoqing Meng , Liyuan Chen , Sihang Guo , Junxing Pan , Yingying Wang , Jinjun Zhang

The simulation of nanophotonic structures relies on electromagnetic solvers, which play a crucial role in understanding their behavior. However, these solvers often come with a significant computational cost, making their application in…

Machine Learning · Computer Science 2024-05-22 Liang Cheng , Prashant Singh , Francesco Ferranti