Entropic stabilized ABO_(3) perovskite oxides promise many applications,including the two-step solar thermochemical hydrogen(STCH)*** binary and quaternary A-site mixed{A}FeO_(3) as a model system,we reveal that as mo...
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Entropic stabilized ABO_(3) perovskite oxides promise many applications,including the two-step solar thermochemical hydrogen(STCH)*** binary and quaternary A-site mixed{A}FeO_(3) as a model system,we reveal that as more cation types,especially above four,are mixed on the A-site,the cell lattice becomes more cubic-like but the local Fe–O octahedrons are more *** comparing four different Density Functional Theory-informed statistical models with experiments,we show that the oxygen vacancy formation energies(E^(f)_(V))distribution and the vacancy interactions must be considered to predict the oxygen non-stoichiometry(δ)*** STCH applications,the E^(f)_(V) distribution,including both the average and the spread,can be optimized jointly to improveΔδ(difference ofδbetween the two-step conditions)in some hydrogen production *** model can be used to predict the range of water splitting that can be thermodynamically improved by mixing cations in{A}FeO_(3) perovskites.
This research introduces the Smart Direct Couple Motor Operated Valve (SDCMOV), designed to enhance agricultural efficiency and sustainability. SDCMOV automates the distribution of water and fertilizers in vegetable f...
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We present a fast trajectory optimization algorithm for the soft capture of uncooperative tumbling space objects. Our algorithm generates safe, dynamically feasible, and minimum-fuel trajectories for a six-degree-of-f...
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ISBN:
(数字)9798350367232
ISBN:
(纸本)9798350367249
We present a fast trajectory optimization algorithm for the soft capture of uncooperative tumbling space objects. Our algorithm generates safe, dynamically feasible, and minimum-fuel trajectories for a six-degree-of-freedom servicing spacecraft to achieve soft capture (near-zero relative velocity at contact) between predefined locations on the servicer spacecraft and target body. We solve a convex problem by enforcing a convex relaxation of the field-of-view constraint, followed by a sequential convex program correcting the trajectory for collision avoidance. The optimization problems can be solved with a standard second-order cone programming solver, making the algorithm both fast and practical for implementation in flight software. We demonstrate the performance and robustness of our algorithm in simulation over a range of object tumble rates up to 10°/s.
In this study we monitored indoor carbon monoxide (CO) levels for ~50 homes over two seasons in the Denver metropolitan area as part of the Social, Justice, and Environmental Quality-Denver initiative (SJEQ-D). These ...
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This article investigates the risk allocation preferences of Indonesian government agents within a public-private partnership scheme in electricity infrastructure projects. A full-factorial conjoint analysis is employ...
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In this article, we harnessed biomedical applications in laser-assisted etching long-period fiber gratings (LLPFGs) sensors, subsequently deploying them within the realm of biomedical applications. The primary aim of ...
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This document proposes a novel approach to hardware-Aware neural architecture search (HW NAS) that considers the resources available on the computing platform running it, enabling its execution on various embedded dev...
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The continuous shapes of soft continuum robots with infinite degrees of freedom have potential applications in unstructured environments. However, their nonlinear behavior and compliance make them difficult to model a...
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ISBN:
(数字)9798331520205
ISBN:
(纸本)9798331520212
The continuous shapes of soft continuum robots with infinite degrees of freedom have potential applications in unstructured environments. However, their nonlinear behavior and compliance make them difficult to model and control. In this study, we propose a shape control scheme for rod-driven soft continuum robots and train the policy by using the reinforcement learning (RL) algorithmic implementation in a simulation environment with an theoretical strain model. The trained policy performs continuous, entire shape control (with maximum distance less than 8 mm) as well as the simulation model. By substituting the tracked positions in real robot from the strain model, the proposed control scheme bridges the large sim2real gap and reduces the distance of controlled shape to the target by 50%, from 15.93 to 7.92 mm. Our method demonstrates an effective and feasible way to control the entire 3D shape and configuration of a soft arm.
Ahstract- This study focuses on developing a gait asymmetry index and applying image processing techniques to cyclogram analysis. We evaluated gait asymmetry under different walking conditions, specifically examining ...
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Aerial manipulation combines the versatility and speed of flying platforms with the functional capabilities of mobile manipulation, which presents significant challenges due to the need for precise localization and co...
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