Results 101 to 110 of about 2,634,872 (277)

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

Inference of Bubble Size Distribution in Sediments Based on Sounding by Chirp Signals

open access: yesArchives of Acoustics
A method is proposed to estimate the bubble void fraction and bubble size distribution in marine sediments based on measured sound speed and attenuation data in gas-bearing sediments.
Xiaohong YANG   +4 more
doaj   +1 more source

Warm DBI inflation with constant sound speed

open access: yesEuropean Physical Journal C: Particles and Fields, 2019
We study inflation with the Dirac–Born–Infeld (DBI) noncanonical scalar field in both the cold and warm scenarios. We consider the Anti-de Sitter warp factor $$f(\phi )=f_{0}/\phi ^{4}$$ f(ϕ)=f0/ϕ4 for the DBI inflation and check viability of the quartic
S. Rasouli   +3 more
doaj   +1 more source

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

open access: yesAdvanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco   +4 more
wiley   +1 more source

Associated Students of the University of Puget Sound (ASUPS) Senate Minutes 2014-0215 [PDF]

open access: yes, 2014
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2014 - 05/2015.
Associated Students of the University of Puget Sound (ASUPS)
core  

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang   +14 more
wiley   +1 more source

Associated Students of the University of Puget Sound (ASUPS) Senate Minutes 2017-0218 [PDF]

open access: yes, 2017
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2017 - 04/2018.
Associated Students of the University of Puget Sound (ASUPS)
core  

Speed of sound in dense strong-interaction matter

open access: yesSciPost Physics Core
We study the speed of sound in strong-interaction matter at zero temperature and in density regimes which are expected to be governed by the presence of a color-superconducting gap. At (very) high densities, our analysis indicates that the speed of sound
Jens Braun, Andreas Geißel, Benedikt Schallmo
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

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