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Polymer materials have the characteristic feature that they are multiscale systems by definition. Already the description of a single molecules involves a multitude of different scales, and cooperative processes in polymer assemblies are…

Chemical Physics · Physics 2022-12-20 Friederike Schmid

We present and analyse a model for cell signalling processes in biological tissues. The model includes diffusion and nonlinear reactions on the cell surfaces, and both inter- and intracellular signalling. Using techniques from the theory of…

Analysis of PDEs · Mathematics 2020-03-12 Mariya Ptashnyk , Chandrasekhar Venkataraman

Recent advances in high-resolution biomedical imaging focusing on morphological, electrical, and biochemical properties of cells and tissues, scaling from cell clusters down to the molecular level, have improved cancer diagnosis. Multiscale…

Medical Physics · Physics 2023-04-21 Phat K. Huynh , Dang Nguyen , Grace Binder , Sharad Ambardar , Trung Q. Le , Dmitri V. Voronine

Most proteins perform their biological function by interacting with one or more molecular partners. In this respect, characterizing the features of the molecular surface, especially in the portions where the interaction takes place, turned…

Molecules have various computational representations, including numerical descriptors, strings, graphs, point clouds, and surfaces. Each representation method enables the application of various machine learning methodologies from linear…

Machine Learning · Computer Science 2025-02-18 Jirka Lhotka , Daniel Probst

Molecule design is a fundamental problem in molecular science and has critical applications in a variety of areas, such as drug discovery, material science, etc. However, due to the large searching space, it is impossible for human experts…

Machine Learning · Computer Science 2022-03-29 Yuanqi Du , Tianfan Fu , Jimeng Sun , Shengchao Liu

Molecular structure elucidation from spectra is a fundamental challenge in molecular science. Conventional approaches rely heavily on expert interpretation and lack scalability, while retrieval-based machine learning approaches remain…

Machine Learning · Computer Science 2025-11-06 Liang Wang , Yu Rong , Tingyang Xu , Zhenyi Zhong , Zhiyuan Liu , Pengju Wang , Deli Zhao , Qiang Liu , Shu Wu , Liang Wang , Yang Zhang

Drug discovery aims to find novel compounds with specified chemical property profiles. In terms of generative modeling, the goal is to learn to sample molecules in the intersection of multiple property constraints. This task becomes…

Machine Learning · Computer Science 2020-07-06 Wengong Jin , Regina Barzilay , Tommi Jaakkola

This article reviews recent developments in multiresolution analysis which make it a powerful tool for the systematic treatment of the multiple length-scales inherent in the electronic structure of matter. Although the article focuses on…

Materials Science · Physics 2009-10-31 T. A. Arias

A simple multiscale approach to the diffusion-driven adsorption from a solution to a solid surface is presented. The model combines two important features of the adsorption process: (i) the kinetics of the chemical reaction between…

Chemical Physics · Physics 2009-11-13 Radek Erban , S. Jonathan Chapman

Molecule-surface interaction is key to many physical and chemical processes at interfaces. Here, we show that the dynamics of single molecules on a surface under ultrahigh vacuum can be resolved using fluorescence imaging. By adapting…

Chemical Physics · Physics 2021-10-19 Tianyu Fang , Florian Elsen , Nick Vogeley , Daqing Wang

The representation of the potential energy surfaces of atom molecule or molecular dimers interactions should account faithfully for the symmetry properties of the systems, preserving at the same time a compact analytical form. To this aim,…

We introduce a model description of femtosecond laser induced desorption at surfaces. The substrate part of the system is taken into account as a (possibly semi-infinite) linear chain. Here, being especially interested in the early stages…

Mesoscale and Nanoscale Physics · Physics 2016-05-25 Emil Boström , Anders Mikkelsen , Claudio Verdozzi

Multiexponential modeling of relaxation or diffusion MR signal decays is a popular approach for estimating and spatially mapping different microstructural tissue compartments. While this approach can be quite powerful, it is also limited by…

Image and Video Processing · Electrical Eng. & Systems 2019-05-10 Daeun Kim , Jessica L. Wisnowski , Christopher T. Nguyen , Justin P. Haldar

We report adaptive resolution molecular dynamics simulations of a flexible linear polymer in solution. The solvent, i.e., a liquid of tetrahedral molecules, is represented within a certain radius from the polymer's center of mass with a…

Soft Condensed Matter · Physics 2007-05-23 Matej Praprotnik , Luigi Delle Site , Kurt Kremer

In this paper, we will first introduce a novel multiscale representation (MSR) for shapes. Based on the MSR, we will then design a surface inpainting algorithm to recover 3D geometry of blood vessels. Because of the nature of irregular…

Analysis of PDEs · Mathematics 2012-04-23 Bin Dong , Aichi Chien , Zuowei Shen , Stanley Osher

Mapping conformational heterogeneity of macromolecules presents a formidable challenge to X-ray crystallography and cryo-electron microscopy, which often presume its absence. This has severely limited our knowledge of the conformations…

Biological Physics · Physics 2015-05-14 P. Schwander , R. Fung , G. N. Phillips , A. Ourmazd

In this article, microscopic understanding of the surface tension are provided, which needs basic knowledge of thermodynamics, statistical mechanics as well as continuum mechanics. By introducing the intermolecular interaction potential and…

Soft Condensed Matter · Physics 2023-09-08 Yasutaka Yamaguchi , Hiroshi Kawamura

Multilayer metasurfaces (MLMs) represent a versatile type of three-dimensional optical metamaterials that could enable ultra-thin and multi-functional photonic components. Herein we demonstrate an approach to readily fabricate MLMs…

Optics · Physics 2019-09-17 Esteban Bermúdez-Ureña , Ullrich Steiner

Diffusion Models (DMs) have disrupted the image Super-Resolution (SR) field and further closed the gap between image quality and human perceptual preferences. They are easy to train and can produce very high-quality samples that exceed the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Brian B. Moser , Arundhati S. Shanbhag , Federico Raue , Stanislav Frolov , Sebastian Palacio , Andreas Dengel