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Displaying 76 - 100 of 74861

Maximally efficient exchange in thin flow cells using density gradients

August 19, 2024
Author(s)
Megan Mitchell, Charles Majkrzak, David Hoogerheide
Flow cells are ubiquitous in laboratories and automated instrumentation and are crucial for ease of sample preparation, analyte addition, and buffer exchange. Often, the assumption that the fluids have exchanged completely in a flow cell is crucial to data

Model for the Viscosity and Thermal Conductivity of Tetrahydrofuran

August 17, 2024
Author(s)
Sofia Sotiriadou, Eleftheria Ntonti, Marc Assael, Konstantinos Antoniadis, Marcia L. Huber
We present a hybrid predictive-correlative engineering model for the calculation of the viscosity and thermal conductivity of tetrahydrofuran (THF) in the fluid phase. It incorporates critically evaluated experimental data where available, and predictive

Driving U.S. Innovation in Materials and Manufacturing using AI and Autonomous Labs

August 14, 2024
Author(s)
Howie Joress, Zachary Trautt, Austin McDannald, Brian DeCost, A. Gilad Kusne, Francesca Tavazza
With the goal of advancing US competitiveness and excellence in the materials and manufacturing industries, we present our vision for the National Center for Autonomous Materials Science. The objective of this center is to enable and promote the use of

Separation of microplastics from deep-sea sediment using an affordable, simple to use, and easily accessible density separation device

August 14, 2024
Author(s)
Katherine Shaw, Rachel Sandquist, Cameron Fairclough, Jesse Black, Alex Fitzgerald, Scott Gallager, Jennifer Lynch
Microplastics accumulate in the environment but methods to extract particles from sediment for quantification and identification often lack accuracy and reproducibility. Existing methods vary greatly and many do not achieve adequate microplastic separation

Zero-temperature entanglement membranes in quantum circuits

August 13, 2024
Author(s)
Grace Sommers, Sarang Gopalakrishnan, Michael Gullans, David Huse
In chaotic quantum systems, the entanglement of a region A can be described in terms of the surface tension of a spacetime membrane pinned to the boundary of A. Here, we interpret the tension of this "entanglement membrane" in terms of the rate at which

The Block Copolymer Phase Behavior Database

August 10, 2024
Author(s)
Nathan Rebello, Akash Arora, Hidenobu Mochigase, Tzyy-Shyang Lin, Debra Audus, Bradley Olsen
The Block Copolymer Database (BCDB) is a platform that allows users to search, submit, visualize, benchmark, and download experimental phase measurements and their associated characterization information for di- and multiblock copolymers. To the best of

Coexistence Testing: Comparing Conducted and Radiated Test Results

August 9, 2024
Author(s)
Susanna Mosleh, Nadia Yoza Mitsuishi, Jason Coder, Carl Sunderman
In an era of ubiquitous wireless devices, ensuring their coexistence in shared electromagnetic environments has become increasingly critical. This paper explores the dynamics of coexistence testing and compares two coexistence test environments outlined in

Variation of Site-Specific Glycosylation Profiles of Recombinant Influenza Glycoproteins

August 9, 2024
Author(s)
Zachary Goecker, Meghan Burke Harris, Concepcion Remoroza, Yi Liu, Yuri Mirokhin, Sergey Sheetlin, Dmitrii V. Tchekhovskoi, Xiaoyu (Sara) Yang, Stephen E. Stein
This work presents a detailed determination of site-specific N-glycan distributions of the recombinant influenza glycoproteins hemagglutinin (HA) and neuraminidase. Variation in glycosylation among recombinant glycoproteins is not predictable and can

A Review of Community Resilience Indicators Using a Systems Measurement Framework

August 5, 2024
Author(s)
Michael Gerst, Maria Dillard, Emily Walpole, Jarrod Loerzel
As natural disasters have increased in frequency and magnitude, there has been an increasing need to understand what underlying factors are likely to lead to faster recovery and more resilient communities. One way of addressing this need has been to

Contactless Fingerprint Capture and Data Interchange Best Practice Recommendation Revision 1

August 5, 2024
Author(s)
Shahram Orandi, Craig I. Watson, Jennifer Stathakis, John M. Libert, Gregory Fiumara, John Grantham
While contactless fingerprint capture devices stand to provide for many benefits, images from this nascent technology are sufficiently different than traditional contact-collected images thereby warranting the separation of these new contactless

The Proteomics Standards Initiative standardized formats for spectral libraries and fragment ion peak annotations: mzSpecLib and mzPAF

August 5, 2024
Author(s)
Joshua Klein, Henry Lam, Tytus Mak, Wout Bittremieux, Yasset Perez-Riverol, Ralf Gabriels, Jim Shofstahl, Helge Hecht, Pierre-Alain Binz, Shin Kawano, Tim Van Den Bossche, Jeremy Carver, Ben Neely, Luis Mendoza, Tomi Suomi, Tine Claeys, Thomas Payne, Douwe Schulte, Zhi Sun, Nils Hoffmann, Yunping Zhu, Steffen Neumann, Andrew Jones, Nuno Bandeira, Juan Antonio Vizcaino, Eric Deutsch
Mass spectral libraries are collections of reference spectra, usually associated with specific analytes from which the spectra were generated, that are used for further downstream analysis of new spectra. There are many different formats used for encoding

Optical n(p, T_90) measurement suite 3: results at l = 1542 nm

August 3, 2024
Author(s)
Patrick Egan, Yuanchao Yang
Single-isotherm n(p, T90) results are reported for the gases Ar, N2, H2O, and D2O at vacuum wavelength λ = 1542.383(1) nm. The argon and nitrogen isotherms were measured near 303 K; the water isotherms were measured near 373 K. Combined with the two

Metric Conversion Card

August 2, 2024
Author(s)
Elizabeth Benham, Kristen Dill
NIST SP 365, Metric Conversion Card is a laminated wallet size card includes an 8 cm and 80 mm ruler with approximate unit conversion factors between common International System of Units (SI) and U.S. customary measurement units for length, area, mass

Modeling Spiking Neurons without Spikes

August 2, 2024
Author(s)
Jeff Shainline, Bryce Primavera, Ryan O'Loughlin
While spiking neuromorphic hardware holds promise for efficient implementations of artificial intelligence, the impact has been limited due in part to a lack of learning algorithms that achieve performance superior to conventional deep learning. One
Displaying 76 - 100 of 74861