Results 111 to 120 of about 50,390 (265)

Efficiency of Electromagnetic Energy Transfer From Solar Wind to Ionosphere Through Magnetospheric Ultra‐Low Frequency Waves

Geophysical Research Letters
Ultra‐low frequency (ULF) waves are a ubiquitous carrier of energy in geospace. However, their efficiency in transferring solar wind energy into the upper atmosphere remains a fundamental and not well‐understood question.
Dong Lin, Michael Hartinger, William Lotko, Wenbin Wang, Xueling Shi, Kareem Sorathia, Bharat Kunduri, Viacheslav Merkin, Kevin Pham, Michael Wiltberger   +9 more
doaj   +1 more source

Continuous observations of the surface energy budget and meteorology over the Arctic sea ice during MOSAiC. [PDF]

Sci Data, 2023
Cox CJ, Gallagher MR, Shupe MD, Persson POG, Solomon A, Fairall CW, Ayers T, Blomquist B, Brooks IM, Costa D, Grachev A, Gottas D, Hutchings JK, Kutchenreiter M, Leach J, Morris SM, Morris V, Osborn J, Pezoa S, Preußer A, Riihimaki LD, Uttal T.   +21 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Vegetation type is an important predictor of the arctic summer land surface energy budget. [PDF]

Nat Commun, 2022
Oehri J, Schaepman-Strub G, Kim JS, Grysko R, Kropp H, Grünberg I, Zemlianskii V, Sonnentag O, Euskirchen ES, Reji Chacko M, Muscari G, Blanken PD, Dean JF, di Sarra A, Harding RJ, Sobota I, Kutzbach L, Plekhanova E, Riihelä A, Boike J, Miller NB, Beringer J, López-Blanco E, Stoy PC, Sullivan RC, Kejna M, Parmentier FW, Gamon JA, Mastepanov M, Wille C, Jackowicz-Korczynski M, Karger DN, Quinton WL, Putkonen J, van As D, Christensen TR, Hakuba MZ, Stone RS, Metzger S, Vandecrux B, Frost GV, Wild M, Hansen B, Meloni D, Domine F, Te Beest M, Sachs T, Kalhori A, Rocha AV, Williamson SN, Morris S, Atchley AL, Essery R, Runkle BRK, Holl D, Riihimaki LD, Iwata H, Schuur EAG, Cox CJ, Grachev AA, McFadden JP, Fausto RS, Göckede M, Ueyama M, Pirk N, de Boer G, Bret-Harte MS, Leppäranta M, Steffen K, Friborg T, Ohmura A, Edgar CW, Olofsson J, Chambers SD.   +73 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Parsing the Kinetic Energy Budget of the Ocean Surface Mixed Layer. [PDF]

Geophys Res Lett, 2022
Zippel SF, Farrar JT, Zappa CJ, Plueddemann AJ.   +3 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Fast, accurate and accessible calculations of leaf temperature and its physiological consequences with NicheMapR

Methods in Ecology and Evolution
Mechanistic predictions of ecological niches are fundamentally based on energy and mass exchange processes that, to be realistic, must be linked to microclimate and incorporate behaviour and physiology.
Michael R. Kearney, Andrea Leigh
doaj   +1 more source

Impacts of ocean warming and acidification on the energy budget of three commercially important fish species. [PDF]

Conserv Physiol, 2022
Moreira JM, Mendes AC, Maulvault AL, Marques A, Rosa R, Pousão-Ferreira P, Sousa T, Anacleto P, Marques GM.   +8 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source