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Learning Thermospheric State Evolution: An Adaptive Neural Operator Framework Based on TIE-GCM Simulations.

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Title: Learning Thermospheric State Evolution: An Adaptive Neural Operator Framework Based on TIE-GCM Simulations.
Authors: Zhou, Shuyang1,2 (AUTHOR), He, Changyong1,2 (AUTHOR) changyong.he@hnust.edu.cn, Zheng, Dunyong1,2 (AUTHOR), Lin, Dongfang1,2 (AUTHOR)
Source: Remote Sensing. Sep2026, Vol. 18 Issue 18, p3134. 27p.
Database: Academic Search Ultimate
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  Data: Learning Thermospheric State Evolution: An Adaptive Neural Operator Framework Based on TIE-GCM Simulations.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Sep2026, Vol. 18 Issue 18, p3134. 27p.
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        Value: 10.3390/rs18183134
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        Text: English
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              Text: Sep2026
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