Results 11 to 20 of about 1,612,001 (340)
Error-Bounded Learned Scientific Data Compression with Preservation of Derived Quantities
Applied Sciences, 2022 Scientific applications continue to grow and produce extremely large amounts of data, which require efficient compression algorithms for long-term storage.
Jaemoon Lee +6 more
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Exploring the Consequences of Crowd Compression Through Physics-Based Simulation [PDF]
Sensors, 2018 Statistical analysis of accidents in recent years shows that crowd crushes have become significant non-combat, non-environmental public disasters. Unlike common accidents such as fires, crowd crushes may occur without obvious external causes, and may ...
Libo Sun, Norman I. Badler
doaj +2 more sources
Journal of Physics Communications, 2023 Simultaneous self-focusing and compression of ultrashort weakly-relativistic Laguerre–Gaussian laser pulses in dense plasma is investigated theoretically and numerically.
T C Wilson +3 more
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Coarse-graining network flow through statistical physics and machine learning [PDF]
Nature CommunicationsInformation dynamics plays a crucial role in complex systems, from cells to societies. Recent advances in statistical physics have made it possible to capture key network properties, such as flow diversity and signal speed, using entropy and free energy.
Zhang Zhang +3 more
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Shock-reshock of zirconium to explore the effect of microstructure on the alpha-omega phase transformation [PDF]
EPJ Web of Conferences, 2021 Phase transformations play an important role in the mechanical behavior of materials subjected to extreme loading conditions. A series of shock-reshock experiments were fielded to determine whether the phase transitions in materials are significantly ...
Morrow Benjamin M. +8 more
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Near-single-cycle pulses generated through post-compression on FAB1 laser at ATTOLAB-Orme facility [PDF]
EPJ Web of Conferences, 2021 Generating high-energy few-cycle pulses is key in the study of light-matter interaction in the regime of high field physics. Attosecond science possess the necessary time resolution to study the underlying fundamental processes but requires repetitions ...
Hergott Jean-François +12 more
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A Swin-transformer-based model for efficient compression of turbulent flow data [PDF]
The Physics of Fluids, 2023 This study proposes a novel deep-learning-based method for generating reduced representations of turbulent flows that ensures efficient storage and transfer while maintaining high accuracy during decompression.
Meng-Tao Zhang +3 more
semanticscholar +1 more source
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning [PDF]
Monthly notices of the Royal Astronomical Society, 2023 The influx of massive amounts of data from current and upcoming cosmological surveys necessitates compression schemes that can efficiently summarize the data with minimal loss of information.
Aizhan Akhmetzhanova +2 more
semanticscholar +1 more source
Jurnal Ilmiah Pendidikan Fisika Al-Biruni, 2023 This research explores physics concepts in depth in pletokan to be integrated into physics learning in the Merdeka Belajar curriculum. Using a qualitative descriptive approach and data triangulation techniques (observation, interviews, and literature ...
Afaurina Indriana Safitri +4 more
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