Results 21 to 30 of about 3,693 (177)

Ultrathin, Stretchable, and 3D‐Printable Complementary Nanotubes–Polymer Composites for Multimodal Radiation Shielding in Extreme Environments

open access: yesAdvanced Materials, EarlyView.
A 3D‐printable dual‐mode radiation shielding material is introduced by combining boron nitride nanotubes and single‐walled carbon nanotubes in a stretchable PDMS matrix. The complementary nanotube network enables simultaneous attenuation of electromagnetic interference and neutron radiation while maintaining lightweight, mechanical resilience, and ...
Flandy   +12 more
wiley   +1 more source

Carbon Speciation and Solubility in Silicate Melts

open access: yesGeophysical Monograph Series, Page 179-194., 2020

This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.

Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions

Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Natalia Solomatova   +2 more
wiley  

+2 more sources

Third derivatives of the integrable part of an asteroid Hamiltonian [PDF]

open access: yesSerbian Astronomical Journal, 2007
To apply the theorem of Nekhoroshev (1977) to asteroids, one first has to check whether a necessary geometrical condition is fulfilled: either convexity, or quasi-convexity, or only a 3-jet non-degeneracy.
Pavlović R.
doaj   +1 more source

Dynamics of Polar Resonances and Their Effects on Kozai–Lidov Mechanism

open access: yesApplied Sciences, 2022
The research on highly inclined mean motion resonances (MMRs), even retrograde resonances, has drawn more attention in recent years. However, the dynamics of polar resonance with inclination i≈90∘ have received much less attention.
Miao Li, Shengping Gong
doaj   +1 more source

Performance Constraints of All‐Perovskite Tandem Solar Cells in Low‐Intensity, Low‐Temperature Environments

open access: yesAdvanced Materials, EarlyView.
All‐perovskite tandem solar cells are evaluated under low‐intensity and low‐temperature (LILT) conditions relevant to space environments. Distinct loss regimes emerge, where weaker entropic mixing causes halide segragation below ≈240 K going along with a strong current imbalance, while poor electron transport in C60 dominates.
Sercan Ozen   +10 more
wiley   +1 more source

ASTEROIDS EXPLORATION WITH BALDONE SCHMIDT TELE-SCOPE

open access: yesOdessa Astronomical Publications, 2018
CCD observations of asteroids were ob-tained in 2008 with the Baldone Schmidt telescope (aper-ture/diameter/focal length = 80/120/240 cm) at the Bal-done Astrophysical observatory (code 069) of the Institute of Astronomy of the University of Latvia.
I. Eglitis
doaj   +1 more source

The proximities of asteroids and critical points of the distance function [PDF]

open access: yesSerbian Astronomical Journal, 2010
The proximities are important for different purposes, for example to evaluate the risk of collisions of asteroids or comets with the Solar-System planets.
Milisavljević Slaviša
doaj   +1 more source

Celestial Bodies Far-Range Detection with Deep-Space CubeSats

open access: yesSensors, 2023
Detecting celestial bodies while in deep-space travel is a critical task for the correct execution of space missions. Major bodies such as planets are bright and therefore easy to observe, while small bodies can be faint and therefore difficult to ...
Vittorio Franzese, Francesco Topputo
doaj   +1 more source

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

open access: yesAdvanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan   +6 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

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