Results 51 to 60 of about 8,781 (261)

Aerosol Jet Printing of Benzocyclobutene as a Thermally Stable, Low‐Loss Dielectric for Multilayer Microwave Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
Multilayer aerosol jet printed components with a low‐loss, thermally stable dielectric are demonstrated using benzocyclobutene. Ink formulation and in‐line droplet evaporation control support high‐quality, versatile, and stable printing performance. A specialized measurement for low‐loss materials reveals promising microwave properties, which, combined
Md Ramjan Ali   +3 more
wiley   +1 more source

Testing Spatial Symmetry Using Contingency Tables Based on Nearest Neighbor Relations

open access: yesThe Scientific World Journal, 2014
We consider two types of spatial symmetry, namely, symmetry in the mixed or shared nearest neighbor (NN) structures. We use Pielou’s and Dixon’s symmetry tests which are defined using contingency tables based on the NN relationships between the data ...
Elvan Ceyhan
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

open access: yesAdvanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim   +6 more
wiley   +1 more source

Electrodynamics in the 't Hooft gauge, a covariant operator approach

open access: yesNuclear Physics B, 2019
This article is devoted to describe the 't Hooft gauge electrodynamics by means of non-perturbative methods together with Heisenberg perturbation theory insights.
G.B. de Gracia   +2 more
doaj   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

open access: yesAdvanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka   +3 more
wiley   +1 more source

Exact Moments of Residuals of Independence

open access: yesMathematics
The diagnosis of residuals of independence is critical in association analysis and loglinear modeling of two-way contingency tables. Most residual diagnostics depend on large-sample methods, and diagnostic results become dubious when sample sizes are ...
Xianggui Qu
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

On Smoothness of the Solution to the Abel Equation in Terms of the Jacobi Series Coefficients

open access: yesAxioms, 2020
In this paper, we continue our study of the Abel equation with the right-hand side belonging to the Lebesgue weighted space. We have improved the previously known result— the existence and uniqueness theorem formulated in terms of the Jacoby series ...
Maksim V. Kukushkin
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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