Results 161 to 170 of about 869,960 (293)

A Cooperative Routing Scheme Using Inter-Satellite Links to Assist Data Downloading for LEO Satellite Networks. [PDF]

Sensors (Basel), 2022
Yang Z, Liu H, Jin J, Tian F.
europepmc   +1 more source

Accelerated Discovery of Earth‐Abundant Oxygen Evolution Catalysts Through Surface‐Informed Active Learning

Advanced Science, EarlyView.
A surface‐informed active learning framework integrated with density functional theory enables resource efficient screening of the NiCoFe ternary composition space. Experimental validation identifies Ni55Co10Fe35 as the optimal composition, exhibiting favorable oxygen evolution reaction kinetics.
Hayun Jeon, Minhee Park, Won Bo Lee, Seyoung Park, YongJoo Kim, Sungwook Mhin   +5 more
wiley   +1 more source

An Asynchronous Collision-Tolerant ACRDA Scheme Based on Satellite-Selection Collaboration-Beamforming for LEO Satellite IoT Networks. [PDF]

Sensors (Basel), 2023
Hong T, Liu R, Liu Z, Ding X, Zhang G.
europepmc   +1 more source

Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging

Advanced Science, EarlyView.
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung, Hongseok Kim, Seungjae Heo, Jin Tae Moon, Jangwoo Ko, Panithan Sriboriboon, Dong‐Gyu Lee, Sanghyun Jo, Hee Han, Jungho Ryu, Woo Lee, Jinseong Heo, Hyun‐Cheol Song, Yunseok Kim   +13 more
wiley   +1 more source

Design of AFDM Waveform Encryption for LEO Satellite Networks. [PDF]

Sensors (Basel)
Yuan M, Lin H, Ma C, Ma P, Yu M, Tang X.
europepmc   +1 more source

The Potential of LEO Satellite-Based Opportunistic Navigation for High Dynamic Applications. [PDF]

Sensors (Basel), 2022
Jardak N, Jault Q.
europepmc   +1 more source

Synergistic Charge Scavenging in Pt/C‐Polyoxometalate Systems for Scalable Biomass Power Generation via Super‐Reduced Electrolytes

Advanced Science, EarlyView.
Synergistic charge scavenging between Pt/C and liquid polyoxometalate mediators effectively dismantles the inherent biological recalcitrance of raw biowaste. This dynamic interfacial electron transfer unlocks a multi‐electron super‐reduced state (>4 electrons). By overcoming traditional electron‐harvesting ceilings, this approach enables scalable, high‐
Hojin Lee, Hyeong‐Jin Lee, Jongseo Lee, Sang‐Soo Han, Sangjin Park, Eun Seon Cho, Hee‐Tak Kim   +6 more
wiley   +1 more source

Mission Planning for LEO Satellite IoT Constellation Based on Genetic Algorithm

天地一体化信息网络
A mission planning algorithm based on genetic algorithm was designed for LEO satellite IoT constellation with no inter-satellite links, aimed to achieve real-time data communication through multiple ground stations while maximized the resource allocation
Yanhong LI, Qiang LYU, Junmin LIANG, Shigang FENG, Junhou MIAO   +4 more
doaj   +2 more sources

Calibration of Radar RCS Measurement Errors by Observing the Luneburg Lens Onboard the LEO Satellite. [PDF]

Sensors (Basel), 2022
Yang J, Li N, Ma P, Liu B.
europepmc   +1 more source

Steric‐Pressure‐Driven Topological Reconstruction for High‐Performance Zintl Phase Thermoelectrics with Machine‐Learning Validation

Advanced Science, EarlyView.
Synergistic Sr and Ag co‐doping drives steric‐pressure‐induced reconstruction from a 2D layered structure to a cross‐linked 3D framework in the Ca9‐xSrxZn4+y‐zAgzSb9 system, enhancing carrier mobility while maintaining a large Seebeck coefficient and doubling ZT to 0.73 at 873 K, with hybrid transfer machine learning further capturing the compositional
Siyeon Kim, Aziz Ahmed, Juwon Lee, Jihyun Lee, Ji Hee Pi, Kyu Hyoung Lee, Kang Min Ok, Tae‐Soo You   +7 more
wiley   +1 more source