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Search Publications by

Anthony J. Kearsley (Fed)

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Displaying 1 - 25 of 60

Optofluidic Flow Meter for sub-nanoliter per minute flow measurements

January 31, 2022
Jalal Sadeghi, Paul Patrone, Anthony J. Kearsley, Gregory A. Cooksey
Performance improvements in microfluidic systems depend on accurate measurement and control of fluids on the micro- and nanoscale, and new applications are continuously moving the needle to lower volumetric flow rates. This work focuses on improving an

Failure mechanisms in DNA self-assembly: Barriers to single fold yield

February 23, 2021
Jacob Majikes, Paul Patrone, Anthony J. Kearsley, Michael P. Zwolak, James Liddle
Understanding the folding process of DNA origami is a critical steppingstone to the broader implementation of nucleic acid nanofabrication technology but is notably non-trivial. Origami are formed by several hundred cooperative hybridization events – folds


October 3, 2020
Gregory A. Cooksey, Paul Patrone, James R. Hands, Stephen E. Meek, Anthony J. Kearsley
This work describes a new method for continuous measurement of flow in a microchannel from 1 nL/min to 1000 nL/min using an optofluidic device with waveguides that deliver and collect light from small regions of a microfluidic channel. By relating the

Diffusion-limited reactions in nanoscale electronics

September 22, 2020
Ryan Evans, Arvind Balijepalli, Anthony J. Kearsley
To quantify interactions between drug molecules and target receptors, a novel nanoscale electronics instrument is under development. The instrument consists of two regions: a biological region, and an electronics region. The biological region consists of a

Measuring Microfluidic Flow Rates: Monotonicity, Convexity and Uncertainty

August 20, 2020
Paul Patrone, Qing Hai Li, Gregory A. Cooksey, Anthony J. Kearsley
A class of non-linear integro-differential equations characterizing microfluidic measurements is considered. Under reasonable conditions, these non-linear integro-differential equations admit solutions that are convex functions of an interesting flow-rate

Revealing thermodynamics of DNA origami folding via affine transformations

June 4, 2020
Jacob M. Majikes, Paul N. Patrone, Daniel R. Schiffels, Michael P. Zwolak, Anthony J. Kearsley, Samuel P. Forry, James A. Liddle
Structural DNA nanotechnology, as exemplified by DNA origami, has enabled the design and construction of molecularly precise objects for a myriad of applications. However, limitations in imaging, and other characterization approaches, make a quantitative

Enabling adoption of 2D-NMR for the higher order structure assessment of monoclonal antibody therapeutics

January 1, 2019
Robert G. Brinson, John P. Marino, Frank Delaglio, Luke W. Arbogast, Ryan M. Evans, Anthony J. Kearsley, Yves Aubin, Gregory Pierens, Xinying Jia, David Keizer, Jonas Stahle, Goran Widmalm, Chad Lawrence, Patrick Reardon, John Cort, Koichi Kato, Stuart Parnham, Andreas Blomgren, Torgny Rundlof, Kang Chen, David Keire, Thea Suter-Stahel, Gerhard Wider, Donna Baldisseri, Julie Wu, Mats Wikstrom, Medhi Mobli
Of the top ten drugs on the global market in 2016, seven of them are biologics with a combined market value of over US$60 billion. Moreover, around 2,800 biopharmaceuticals, many of them monoclonal antibodies (mAbs), are in some stage of clinical

Combining fragment ion and neutral loss matching during mass spectral library searching: A new general-purpose algorithm applicable to illicit drug identification

November 20, 2017
Arun S. Moorthy, William E. Wallace, Anthony J. Kearsley, Dmitrii V. Tchekhovskoi, Stephen E. Stein
A mass spectral library search algorithm that identifies compounds that differ from library compounds by a single ‘inert’ structural component is described. This algorithm, the Hybrid Similarity Search, generates a similarity score based on matching both

Efficient and Robust Optimization for building energy simulation

June 15, 2016
Shokouh Pourarian, Jin Wen, Anthony J. Kearsley, Amanda Pertzborn
Efficiently, robustly and accurately solving large sets of structured, non-linear algebraic and differential equations is one of the most computationally expensive steps in the dynamic simulation of building energy systems. Here, the efficiency, robustness

Stochastic Regression Modeling of Chemical Spectra

August 14, 2014
Anthony J. Kearsley, William E. Wallace, Yutheeka Gadhyan
A stochastic regression method has been developed that decomposes chemical spectra into separate contributions from signal and from noise. The numerical results of regressing in this way on sample spectra are presented. The results suggest that this

Constrained Hierarchical Control of a Diffusion Equation

December 31, 2013
Anthony J. Kearsley
In this paper, we consider the approximate pointwise control of a linear parabolic system with multiple targets. The location of the pointwise controls are constrained and we assume hierarchy among the objectives, Optimality conditions are derived for a

Successive Frequency Domain Minimization for Time Delay Estimation

November 12, 2013
Ismet Sahin, Marwan A. Simaan, Anthony J. Kearsley
Estimating time delays for signal alignment is important for many applications. This paper extends a successful frequency domain cost function minimization algorithm capable of estimating time delays to within a fraction of sampling periods. Since a narrow