Results 111 to 120 of about 110,320 (298)

The Space Weather Observation Network (SWON) Concept - Inauguration of the DLR Advanced Study Group

, 2011
The DLR Advanced Study Group (ASG) is a team of engineers and scientists that investigates visionary or unusual aerospace concepts regarding their feasibility and applicability to scientific problems, in an attempt to erase the “fiction” from the ...
Maiwald, Volker, Quantius, Dominik, Schubert, Daniel, Weiß, André, Jansen, Frank   +4 more
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Predicting Interplanetary Shock Occurrence for Solar Cycle 25: Opportunities and Challenges in Space Weather Research [PDF]

Interplanetary (IP) shocks are perturbations observed in the solar wind. IP shocks correlate well with solar activity, being more numerous during times of high sunspot numbers.
Ezequiel Echer, Madelaire, Michael, Hayakawa, Hisashi, Karl M. Laundal, Weygand, James W., Emmanuel Nahayo, John Bosco Habarulema, Giulia D’Angelo, S. Tulasi Ram, Hajra, Rajkumar, Michael D. Hartinger, Cristian P. Ferradas, Katariina Nykyri, Kevin Delano, Vipin K. Yadav, Rodger, Craig J., Ermanno Pietropaolo, Echer, Ezequiel, Rajkumar Hajra, Scott M. McIntosh, Ram, S. Tulasi, James W. Weygand, Dan Gershman, Jeng-Hwa Yee, Michael Madelaire, Lisa A. Upton, Allen, Robert C., Séan P. Blake, William R. Paterson, Gjerloev, Jesper W., Nilam, Bhosale, Mark B. Moldwin, Jesper W. Gjerloev, Vidal-Luengo, Sergio, Yee, Jeng-Hwa, Oliveira, Denny M., Robert J. Leamon, Ferradas, Cristian P., Moldwin, Mark B., Shah, Trunali, Yadav, Vipin K., Leamon, Robert J., Vidal‐Luengo, Sergio, Andy W. Smith, Dibyendu Nandy, Viljanen, Ari, Veenadhari, Bhaskara, and Eftyhia Zesta, Mirko Piersanti, Nandita Srivastava, Ari Viljanen, Bhaskara Veenadhari, Laundal, Karl Magnus, Hartinger, Michael D., Robert C. Allen, Nykyri, Katariina, Srivastava, Nandita, D’Angelo, Giulia, Tsurutani, Bruce T., Liisa Juusola, Juusola, Liisa, Matt G. Finley, Smith, Andy W., Yee, Jeng‐Hwa, Gershman, Dan, Denny M. Oliveira, Gallardo-Lacourt, Bea, Sergio Vidal-Luengo, Pietropaolo, Ermanno, Bhosale Nilam, Dibyendu Chakrabarty, Alves, Livia R., Laundal, Karl M., Habarulema, John Bosco, Bea Gallardo-Lacourt, Miguel Martínez-Ledesma, Nahayo, Emmanuel, Delano, Kevin, Martínez-Ledesma, Miguel, Bruce T. Tsurutani, Blake, Séan P., Chakrabarty, Dibyendu, Miyoshi, Yoshizumi, Nandy, Dibyendu, Craig J. Rodger, Martínez‐Ledesma, Miguel, Gallardo‐Lacourt, Bea, Piersanti, Mirko, Hisashi Hayakawa, Livia R. Alves, Finley, Matt G., Brett A. Carter, Upton, Lisa A., Carter, Brett A., McIntosh, Scott M., Trunali Shah, Vines, Sarah K., Sarah K. Vines, Paterson, William R., Zesta, Eftyhia, Yoshizumi Miyoshi   +100 more
core   +1 more source

Artificial Intelligence-Based Precipitation Estimation Method Using Fengyun-4B Satellite Data

Remote Sensing
This paper proposes a novel precipitation estimation method based on FY-4B meteorological satellite data (FY-4B_AI). This method facilitates the spatiotemporal matching of 125 features derived from the multi-temporal and multi-channel data of the FY-4B ...
Nianqing Liu, Jianying Jiang, Dongyan Mao, Meng Fang, Yun Li, Bowei Han, Suling Ren   +6 more
doaj   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source

Solar active region magnetogram image dataset for studies of space weather. [PDF]

Sci Data, 2023
Boucheron LE, Vincent T, Grajeda JA, Wuest E.   +3 more
europepmc   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Machine Learning in Space Weather and how to handle it

, 2022
Machine leaning (ML), an imposing but not necessarily new method, is living today its golden age by achieving unforeseen results in numerous industrial applications.
PALMIROTTA, Guendalina
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The low-latitude sodium layer: comparative data from lidar observations at Hainan, China and São Paulo, Brazil

Earth and Planetary Physics
Physical and chemical processes observed in the mesosphere and thermosphere above the Earth’s low latitudes are complex and highly interrelated to activity in the low-latitude ionosphere.
Fang Wu, Jing Jiao, GuoTao Yang, LiFang Du, ZhengKuan Liu, HaoRan Zheng, JiXin Guo, ShaoHua Gong, YaJun Zhu   +8 more
doaj   +1 more source

Coagulative Granular Hydrogels with an Enzyme Catalyzed Fibrin Network for Endogenous Tissue Regeneration

Advanced Healthcare Materials, EarlyView.
Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng, Camila B. Tovani, Simona Bianco, Gianni Comandini, Aya Elghajiji, Mina Aleemardani, Roxana Moscalu, Jeremie Zappia, Bianca Fernandes, Olivia Annett, Chrissy L. Hammond, Jason Wong, Dave J. Adams, Fabrizio Scarpa, Michael R. Whitehouse, Annela M. Seddon, James P. K. Armstrong   +16 more
wiley   +1 more source

Weather Forecasting for Weather Derivatives [PDF]

We take a simple time-series approach to modeling and forecasting daily average temperature in U.S. cities, and we inquire systematically as to whether it may prove useful from the vantage point of participants in the weather derivatives market.
Sean D. Campbell, Francis X. Diebold
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