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We consider linear and nonlinear coherent perfect absorbers (CPAs) in multidimensional geometries and construct explicitly the respective perfectly absorbed solutions. The multidimensional CPAs have a structure of the so-called simple…

Optics · Physics 2018-06-26 Vladimir V. Konotop , Dmitry A. Zezyulin

We investigate 1D aperiodic multilayer microstructures in order to achieve near total absorption in preselected wavelengths in a graphene monolayer. Our structures are designed by a genetic optimization algorithm coupled to a transfer…

Optics · Physics 2018-03-14 Iman Zand , Hamed Dalir , Ray T. Chen , Jonathan P. Dowling

Using extensive Monte Carlo simulations, we investigate the surface adsorption of self-avoiding trails on the triangular lattice with two- and three-body on-site monomer-monomer interactions. In the parameter space of two-body, three-body,…

Statistical Mechanics · Physics 2020-01-01 Nathann T. Rodrigues , Tiago J. Oliveira , Thomas Prellberg , Aleksander L. Owczarek

We present a theoretical study of three-photon electromagnetically induced absorption for a ladder-type three-level atomic system. A probe beam was tuned to the lower line and two counter-propagating, linearly polarized coupling beams were…

Atomic Physics · Physics 2015-08-03 Heung-Ryoul Noh , Han Seb Moon

Absorption imaging with quasi-resonant laser light is a commonly used technique to probe ultra-cold atomic gases in various geometries. Here we investigate some non-trivial aspects of this method when it is applied to in situ diagnosis of a…

Quantum Gases · Physics 2015-06-03 L. Chomaz , L. Corman , T. Yefsah , R. Desbuquois , J. Dalibard

Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary…

Tissues and Organs · Quantitative Biology 2022-01-14 Aranyak Chakravarty , Mahesh V. Panchagnula , Alladi Mohan , Neelesh A. Patankar

Deep generative models have achieved tremendous success in designing novel drug molecules in recent years. A new thread of works have shown the great potential in advancing the specificity and success rate of in silico drug design by…

Machine Learning · Computer Science 2025-07-14 Xingang Peng , Shitong Luo , Jiaqi Guan , Qi Xie , Jian Peng , Jianzhu Ma

Diffusion preserves the positivity of concentrations, therefore, multicomponent diffusion should be nonlinear if there exist non-diagonal terms. The vast variety of nonlinear multicomponent diffusion equations should be ordered and special…

Materials Science · Physics 2015-03-17 A. N. Gorban , H. P. Sargsyan , H. A. Wahab

Electroporation is a very useful tool for drug delivery into various diseased tissues of the human body. This technique helps to improve the clinical treatment by transferring drugs into the targeted cells rapidly. In electroporation, drug…

Functional Analysis · Mathematics 2022-08-03 Nilay Mondal , D. C. Dalal

A simple statistical mechanical approach for studying multilayer adsorption of interacting polyatomic adsorbates (k-mers) has been presented. The new theoretical framework has been developed on a generalization in the spirit of the…

Materials Science · Physics 2009-11-13 G. D. Garcia , F. O. Sanchez-Varretti , F. Roma , A. J. Ramirez-Pastor

Donor-modified TiO 2 nanoparticles are interesting hybrid systems shifting the absorption edge of this semiconductor from the ultra-violet to the visible or infrared light spectrum, which is a benefit for several applications ranging from…

Materials Science · Physics 2020-12-08 Costanza Ronchi , Federico Soria , Lorenzo Ferraro , Silvana Botti , Cristiana Di Valentin

This paper considers the problem of mismeasured categorical covariates in the context of regression modeling; if unaccounted for, such misclassification is known to result in misestimation of model parameters. Here, we exploit the fact that…

Statistics Theory · Mathematics 2017-04-28 P. Richard Hahn , Michelle Xia

Drug similarity has been studied to support downstream clinical tasks such as inferring novel properties of drugs (e.g. side effects, indications, interactions) from known properties. The growing availability of new types of drug features…

Machine Learning · Computer Science 2018-05-01 Tengfei Ma , Cao Xiao , Jiayu Zhou , Fei Wang

Estimating the impact of continuous treatment variables (e.g., dosage amount) on binary outcomes presents significant challenges in modeling and estimation because many existing approaches make strong assumptions that do not hold for…

Methodology · Statistics 2025-05-08 Muyan Jiang , Yunkai Zhang , Anil Aswani

We report the optical absorption characteristics and the photocurrent spectra for large-area molecular junctions containing different molecular structures and thicknesses. Through experimental assessment of the optical absorption of…

Chemical Physics · Physics 2021-04-12 V Mukundan , J A Fereiro , R L McCreery , A J Bergren

This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-linear advection-diffusion-sorption systems. It demonstrates an effective method to train these…

Computational Engineering, Finance, and Science · Computer Science 2023-04-27 Vinicius V. Santana , Erbet Costa , Carine M. Rebello , Ana Mafalda Ribeiro , Chris Rackauckas , Idelfonso B. R. Nogueira

We propose a strategy for quantitative photoacoustic mapping of chromophore concentrations that can be performed purely experimentally. We exploit the possibility of acousto-optic modulation using focused ultrasound, and the principle that…

Optics · Physics 2012-07-23 Khalid Daoudi , Wiendelt Steenbergen

Several recent imaging experiments access the equilibrium density profiles of interacting particles confined to a two-dimensional substrate. When these particles are in a fluid phase, we show that such data yields precise information…

Disordered Systems and Neural Networks · Physics 2016-08-31 Ankush Sengupta , Surajit Sengupta , Gautam I. Menon

In this letter, we present anti-cancer drug delivery strategies using knowledges obtained from our recent studies. We have conducted inverse analyses of "density distributions of colloidal particles near a focused surface" and "pair…

Soft Condensed Matter · Physics 2023-04-18 Ken-ichi Amano , Takumi Otake

The development of traction-force microscopy, in the past two decades, has created the unprecedented opportunity of performing direct mechanical measurements on living cells as they adhere or crawl on uniform or micro-patterned substrates.…

Biological Physics · Physics 2019-10-25 Luca Giomi
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