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A theory for the fluorescence resonance energy transfer (FRET) between a pair of semiconducting nanocrystal quantum dots is developed. Two types of donor-acceptor couplings for the FRET rate are described: dipole-dipole (d-d) and the…

Materials Science · Physics 2009-11-13 Roi Baer , Eran Rabani

We consider theoretical models of the nanolaser and logic gates on carbon nanotubes (CNTs). In our work, it is shown at pumping the nanoresonator of the nanolaser on CNT by optical radiation using a quantum dot as nano light emitted diode…

Optics · Physics 2025-11-18 I. V. Dzedolik , S. V. Tomilin

We present a palette of brightly fluorescent genetically encoded voltage indicators (GEVIs) with excitation and emission peaks spanning the visible spectrum, sensitivities from 6 - 10% Delta F/F per 100 mV, and half-maximal response times…

Nanopore based sequencing has demonstrated significant potential for the development of fast, accurate, and cost-efficient fingerprinting techniques for next generation molecular detection and sequencing. We propose a specific multi-layered…

Mesoscale and Nanoscale Physics · Physics 2014-05-15 Towfiq Ahmed , Jason T. Haraldsen , John J. Rehr , Massimiliano Di Ventra , Ivan K. Schuller , Alexander V. Balatsky

We show that resonance fluorescence, i.e. the resonant emission of a coherently driven two-level system, can be realized with a semiconductor quantum dot. The dot is embedded in a planar optical micro-cavity and excited in a wave-guide mode…

In this paper, we present the design of a Deoxyribonucleic Acid (DNA) shearing system based on unique acoustic waves generated using a phased-array Fresnel Lens transducer. Four 90-degree sector-transducers are used to build a circular…

Instrumentation and Detectors · Physics 2020-02-13 Kapil Dev , Smriti Sharma , Vibhu Vivek , Babur Hadimioglu , Yehia Massoud

With the increasing inference cost of machine learning models, there is a growing interest in models with fast and efficient inference. Recently, an approach for learning logic gate networks directly via a differentiable relaxation was…

Machine Learning · Computer Science 2024-11-08 Felix Petersen , Hilde Kuehne , Christian Borgelt , Julian Welzel , Stefano Ermon

DNA labeling is a powerful tool in molecular biology and biotechnology that allows for the visualization, detection, and study of DNA at the molecular level. Under this paradigm, a DNA molecule is being labeled by specific k patterns and is…

Information Theory · Computer Science 2024-01-24 Dganit Hanania , Daniella Bar-Lev , Yevgeni Nogin , Yoav Shechtman , Eitan Yaakobi

We propose a DNA sequencing scheme based on silicene nanopores. Using first principles theory, we compute the electrical properties of such pores in the absence and presence of nucleobases. Within a two-terminal geometry, we analyze the…

Quantitative Methods · Quantitative Biology 2014-05-16 Hatef Sadeghi , S. Bailey , Colin J. Lambert

Measurements of electron transfer rates as well as of charge transport characteristics in DNA produced a number of seemingly contradictory results, ranging from insulating behaviour to the suggestion that DNA is an efficient medium for…

Soft Condensed Matter · Physics 2007-05-23 R. Bulla , R. Gutierrez , G. Cuniberti

This paper proposes the use of Eukaryotic cells, namely astrocytes, to develop logic gates. The logic gates are achieved by manipulating the threshold of Ca$^{2+}$ ion flows between the cells, based on the input signals. Through wet-lab…

Single molecule FRET (fluorescence resonance energy transfer) is a powerful technique for detecting real-time conformational changes and molecular interactions during biological reactions. In this review, we examine different techniques of…

Biomolecules · Quantitative Biology 2007-05-23 Ivan Rasnik , Sean A. McKinney , Taekjip Ha

Solid-state nanopore and nanopipette sensors are powerful devices for the detection, quantification and structural analysis of biopolymers such as DNA and proteins, especially in carrier-enhanced resistive-pulse sensing. However, hundreds…

Mesoscale and Nanoscale Physics · Physics 2025-10-14 Cengiz J. Khan , Oliver J. Irving , Rand A. Al-Waqfi , Giorgio Ferrari , Tim Albrecht

Differentiable Logic Gate Networks (DLGNs) are a very fast and energy-efficient alternative to conventional feed-forward networks. With learnable combinations of logical gates, DLGNs enable fast inference by hardware-friendly execution.…

Machine Learning · Computer Science 2025-10-01 Sven Brändle , Till Aczel , Andreas Plesner , Roger Wattenhofer

Optical nanoantennas are structures designed to manipulate light-matter interactions at the nanoscale by interfacing propagating light with localized optical fields. In recent years, a plethora of devices have been realized that are able to…

DNA nanotechnology uses predictable interactions of nucleic acids to precisely engineer complex nanostructures. Characterizing these self-assembled structures at the single-structure level is crucial for validating their design and…

Biological Physics · Physics 2025-10-21 Wangwei Dong , Zezhou Liu , Ruiyao Liu , Deborah Kuchnir Fygenson , Walter Reisner

Since security is one of the most important issues, the evolve of cryptography and cryptographic analysis are considered as the fields of on-going research. The latest development on this field is DNA cryptography. It has emerged after the…

Cryptography and Security · Computer Science 2015-03-17 Beenish Anam , Kazi Sakib , Md. Alamgir Hossain , Keshav Dahal

Based on the concept of DNA strand displacement and DNA strand algebra we have developed a method for logical inference which is not based on silicon based computing. Essentially, it is a paradigm shift from silicon to carbon. In this paper…

Biomolecules · Quantitative Biology 2015-06-17 Kumar Sankar Ray , Mandrita Mondal

A practical, biologically motivated case of protein complexes (immunoglobulin G and FcRII receptors) moving on the surface of mastcells, that are common parts of an immunological system, is investigated. Proteins are considered as…

Molecular Networks · Quantitative Biology 2018-02-16 Jakub Kmiecik , Pawel Kulakowski , Krzysztof Wojcik , Andrzej Jajszczyk