Results 71 to 80 of about 5,077 (103)
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IEEE Transactions on Nuclear Science, 2023 
Silicon photonics enables the manufacturing of high-speed, low-power, integrated optical circuits with compact footprints, and recent studies have also shown it to have a high tolerance to radiation.
T. Prousalidi +10 more
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Silicon photonics enables the manufacturing of high-speed, low-power, integrated optical circuits with compact footprints, and recent studies have also shown it to have a high tolerance to radiation.
T. Prousalidi +10 more
semanticscholar +1 more source
International Conference on Modern Circuits and Systems Technologies, 2023 
The High Energy Physics (HEP) community faces new challenges in designing modern ASICs due to their increasing size and complexity, as well as the use of advanced semiconductor fabrication processes.
M. Andorno +6 more
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The High Energy Physics (HEP) community faces new challenges in designing modern ASICs due to their increasing size and complexity, as well as the use of advanced semiconductor fabrication processes.
M. Andorno +6 more
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Generic Analog 8 Bit DAC IP Block in 28nm CMOS for the High Energy Physics Community
2022 Austrochip Workshop on Microelectronics (Austrochip), 2022The High Energy Physics (HEP) microelectronic design community is leading a CMOS technology change from Application Specific Integrated Circuit (ASIC) designs in 130nm and 65nm to 28nm for the future upgrades of the High Luminosity Large Hadron Collider (
M. Piller +8 more
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Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024)
As the climate crisis intensifies, understanding the environmental impact of professional activities is paramount, especially in sectors with historically significant resource utilisation.
Valerie Lang +3 more
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As the climate crisis intensifies, understanding the environmental impact of professional activities is paramount, especially in sectors with historically significant resource utilisation.
Valerie Lang +3 more
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Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC
The European Physical Journal Special TopicsThe application of machine learning (ML) in high energy physics (HEP), specifically in heavy-flavor jet tagging at Large Hadron Collider (LHC) experiments, has experienced remarkable growth and innovation in the past decade.
Spandan Mondal, L. Mastrolorenzo
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International Conference on Machine Learning
This study introduces a novel transformer model optimized for large-scale point cloud processing in scientific domains such as high-energy physics (HEP) and astrophysics.
Siqi Miao +4 more
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This study introduces a novel transformer model optimized for large-scale point cloud processing in scientific domains such as high-energy physics (HEP) and astrophysics.
Siqi Miao +4 more
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Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics
arXiv.orgLarge Language Models (LLMs) are undergoing a period of rapid updates and changes, with state-of-the-art (SOTA) model frequently being replaced. When applying LLMs to a specific scientific field, it's challenging to acquire unique domain knowledge while ...
Zhengde Zhang +12 more
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