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Jia Fu

Researcher at Sichuan University

Publications -  20
Citations -  95

Jia Fu is an academic researcher from Sichuan University. The author has contributed to research in topics: Diatomic molecule & Chemistry. The author has an hindex of 5, co-authored 10 publications receiving 78 citations. Previous affiliations of Jia Fu include Xihua University.

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Motion-sensing follow-type flight control system and method

TL;DR: In this paper, a motion-sensing follow-type flight control system consisting of a remote controller and an aircraft is presented. But the system is not suitable for unmanned aerial vehicles (UAVs).
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A variational algebraic method used to study the full vibrational spectra and dissociation energies of some specific diatomic systems

TL;DR: The algebraic method (AM) proposed by Sun et al. is improved to be a variational AM (VAM) to offset the possible experimental errors and to adapt to the individual energy expansion nature of different molecular systems.
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A molecular based kinetic study on the thermal decomposition of poly-α-methyl styrene

TL;DR: In this paper, the influence of molecular weight on the thermal decomposition of solid poly-α-methyl styrene (PαMS) is investigated. And the authors show that the higher the molecular weight is, the faster the PαMS decomposes in the main decomposition temperature range.
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Dealing with the hidden unphysical constraint and the butterfly effect in spectrum computations

TL;DR: Sun et al. as discussed by the authors modified the algebraic method to adapt to the individual nature of different energy expansions by changing an original fixed order to a flexible one, which can be used to deal with the possible butterfly effect that may happen in spectroscopic computations.
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Studies on the Q-branch spectral lines of high-lying rovibrational transitions of diatomic system.

TL;DR: An analytical formula is suggested to predict the accurate Q-branch spectral lines of rovibrational transitions for diatomic systems by taking multiple spectral differences, and the results show that not only the known experimental transition lines are accurately reproduced, but also the correct values of the unknown spectral lines are predicted.