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Journals

Ultrafast stiffening of concentrated thermoresponsive polymer-mineral suspensions

Author(s)
Edward Garboczi, Sharu Kandy, Iman Mehdipour, Narayanan Neithalath, Aditya Kumar, Mathieu Bauchy, Samanvaya Srivastava, Torben Gaedt, Gaurav Sant
Extrusion-based 3D printing with rapidly hardening polymeric materials is capable of building almost any conceivable structure. However, concrete, one of the...

Fundamental Physics with a State-of-the-Art Optical Clock in Space

Author(s)
Andrei Derevianko, Kurt Gibble, Leo Hollberg, Nathan R. Newbury, Chris Oates, Marianna Safranova, Laura Sinclair
Recent advances in optical atomic clocks and optical time transfer have enabled new possibilities in precision metrology for both tests of fundamental physics...

Metasurface on integrated photonic platform: from mode converters to machine learning

Author(s)
Zi Wang, Yahui Xiao, Kun Liao, Tiantian Li, Hao Song, Haoshuo Chen, S M Zia Uddin, Dun Mao, Feifan Wang, Zhiping Zhou, Bo Yuan, Wei Jiang, Nikolas Fontaine, Amit Agrawal, Alan Willner, Xiaoyong Yu, Tingyi Gu
Integrated photonic circuits are created as a small form factor and robust analogue for fiber-based optical systems, from wavelength-division multiplication...

Quantum materials for energy-efficient neuromorphic computing: Opportunities and challenges

Author(s)
Axel Hoffmann, Shriram Ramanathan, Julie Grollier, Andrew Kent, Marcelo Rozenberg, Ivan Schuller, Oleg Shpyrko, Robert Dynes, Yeshaiahu Fainman, Alex Frano, Eric Fullerton, Giulia Galli, Vitaliy Lomakin, Shyue Ping Ong, Amanda K. Petford-Long, Jonathan A. Schuller, Mark Stiles, Yayoi Takamura, Yimei Zhu
Neuromorphic computing approaches become increasingly important as we address future needs for efficiently processing massive amounts of data. The unique...

Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions

Author(s)
Jonathan Goodwill, Nitin Prasad, Brian Hoskins, Matthew Daniels, Advait Madhavan, Lei Wan, Tiffany Santos, Michael Tran, Jordan Katine, Patrick Braganca, Mark Stiles, Jabez J. McClelland
The increasing scale of neural networks and their growing application space have produced a demand for more energy and memory efficient artificial-intelligence...

Comparison of two multiplexed portable cold atom vacuum standards

Author(s)
Lucas Ehinger, Bishnu Acharya, Daniel Barker, James A. Fedchak, Julia Scherschligt, Eite Tiesinga, Stephen Eckel
We compare the vacuum measured by two portable cold atom vacuum standards (pCAVS) based on ultracold $^7$Li atoms. Our pCAVS devices share the same laser system...

Technical Framework for High Quality New Approach Methodologies (NAMs)

Author(s)
Elijah Petersen, John T. Elliott, John Gordon, Nicole Kleinstreuer, Emily Reinke, Matthias Roesslein, Blaza Toman
New approach methodologies (NAMs) are in vitro, in chemico, and computational approaches that can potentially be used to reduce animal testing. For NAMs that...
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