Results 41 to 50 of about 4,818 (307)

Emulating Satellite Drag from Large Simulation Experiments [PDF]

open access: yesSIAM/ASA Journal on Uncertainty Quantification, 2019
44 pages; 16 figures; 6 ...
Furong Sun   +4 more
openaire   +3 more sources

Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet

open access: yesAdvanced Materials, EarlyView.
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens   +8 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Drag coefficients with applications to satellite orbits [PDF]

open access: yes, 1989
In the last twenty or so years the results of theory and experiment have produced much information on the characteristics of gas-surface interactions relevant to a satellite in hyperthermal free-molecular flow. This thesis contains reviews of the rarefied gas dynamics applicable to satellites and has attempted to compare existing models of gas-surface ...
openaire   +2 more sources

High Center‐of‐Mass, Multi‐Legged Soft Robots Powered by Geometrically Encoded Liquid Crystal Elastomer Arc Appendages

open access: yesAdvanced Materials, EarlyView.
Inspired by the octopus and the golden wheel spider, soft robots with liquid crystal elastomer arc fibers as appendages are fabricated to transcend surface constraints through an elevated center of mass and minimal contact footprints. By leveraging curvature‐encoded deformation‐recovery cycles, these robots exhibit contractile, torsional, and flexural ...
Jong Bin Kim   +5 more
wiley   +1 more source

Performance Estimate of a Spin-Stabilized Drag Sail for Spacecraft Deorbiting

open access: yesApplied Sciences
The growing amount of space debris in geocentricorbit poses a significant threat to the future of space operations. To mitigate this problem, current international guidelines state that a satellite should be able to deorbit or insert into a graveyard ...
Lorenzo Niccolai, Giovanni Mengali
doaj   +1 more source

Effects of Solar Activities, Drag Coefficient and Atmospheric Wind on Altitude Loss of a LEO Satellite [PDF]

open access: yesفصلنامه علوم و فناوری فضایی, 2008
In this paper, the effects of future solar activities, drag coefficient and atmospheric wind on altitude loss and life time of a LEO satellite is investigated. For this purpose, an orbit propagator is used whose results have been verified by STK software.
T. Abdollahi, A. Jahangirian, A. Naghash
doaj  

Fully 3D‐Printed Wave‐Wound Electromagnetic Motors

open access: yesAdvanced Materials Technologies, EarlyView.
This work presents the first fully 3D‐printed wave‐wound electromagnetic motors, which are created using conductive nanoparticle inks, carbon‐filled nylon polymers, and surface mount components. These motors can achieve a stall torque of 7.62N·mmA−1$7.62 \nobreakspace N{\cdot }mm A^{-1}$ and efficiency of 28.2 %, which approaches the performance of ...
Joseph Schwalbe   +4 more
wiley   +1 more source

Accommodating the plasma brake experiment on-board the Aalto-1 satellite; pp. 258–266 [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2014
This paper presents an overview and the current status of hosting the electrostatic plasma brake (EPB) experiment onboard the Finnish Aalto-1 satellite.
Osama Khurshid   +3 more
doaj   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

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