This work is licensed under the Creative Commons Attribution 4.0 International License.
[1] Voit M, Meyer-Ortmanns H. Predicting the separation of time scales in a heteroclinic network[J]. Applied Mathematics and Nonlinear Sciences, 2019, 4(1):273-282.VoitMMeyer-OrtmannsH.Predicting the separation of time scales in a heteroclinic network[J]20194127328210.2478/AMNS.2019.1.00024Search in Google Scholar
[2] Abozaid A A, Selim H H, Gadallah K, et al. Periodic orbit in the frame work of restricted three bodies under the asteroids belt effect[J]. Applied Mathematics and Nonlinear Sciences, 2020, 5(2):157-176.AbozaidA ASelimH HGadallahKPeriodic orbit in the frame work of restricted three bodies under the asteroids belt effect[J]20205215717610.2478/amns.2020.2.00022Search in Google Scholar
[3] Ahn S, Chang S, Rhee H. Application of optimal temperature trajectory to batch PMMA polymerization reactor[J]. Journal of Applied Polymer Science, 2015, 69(1):59-68.AhnSChangSRheeH.Application of optimal temperature trajectory to batch PMMA polymerization reactor[J]2015691596810.1002/(SICI)1097-4628(19980705)69:1<59::AID-APP8>3.0.CO;2-LSearch in Google Scholar
[4] Zhong R Y, Huang G Q, Lan S, et al. A big data approach for logistics trajectory discovery from RFID-enabled production data[J]. International Journal of Production Economics, 2015, 165(jul.):260-272.ZhongR YHuangG QLanSA big data approach for logistics trajectory discovery from RFID-enabled production data[J]2015165jul.26027210.1016/j.ijpe.2015.02.014Search in Google Scholar
[5] Qiao S, Shen D, Wang X, et al. A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(1):284-296.QiaoSShenDWangXA Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models[J]201516128429610.1109/TITS.2014.2331758Search in Google Scholar
[6] Schneider R, Maurin D, Communie G, et al. Visualizing the molecular recognition trajectory of an intrinsically disordered protein using multinuclear relaxation dispersion NMR[J]. Journal of the American Chemical Society, 2015, 137(3):1220-1229.SchneiderRMaurinDCommunieGVisualizing the molecular recognition trajectory of an intrinsically disordered protein using multinuclear relaxation dispersion NMR[J]201513731220122910.1021/ja511066qSearch in Google Scholar
[7] Murman E M, Powell K G. Trajectory integration in vortical flows[J]. Aiaa Journal, 2015, 27(7):982-984.MurmanE MPowellK G.Trajectory integration in vortical flows[J]201527798298410.2514/3.10208Search in Google Scholar
[8] COHEN, M. J. Low-thrust spiral trajectory of a satellite of variable mass.[J]. Aiaa Journal, 2015, 3(10):1946-1949.COHENM. J.Low-thrust spiral trajectory of a satellite of variable mass.[J]20153101946194910.2514/3.3287Search in Google Scholar
[9] Patron-Perez A, Lovegrove S, Sibley G. A Spline-Based Trajectory Representation for Sensor Fusion and Rolling Shutter Cameras[J]. International Journal of Computer Vision, 2015, 113(3):208-219.Patron-PerezALovegroveSSibleyG.A Spline-Based Trajectory Representation for Sensor Fusion and Rolling Shutter Cameras[J]2015113320821910.1007/s11263-015-0811-3Search in Google Scholar
[10] Kirui J K, Olaleru S A, Jhamba L, et al. Elucidating the Trajectory of the Charge Transfer Mechanism and Recombination Process of Hybrid Perovskite Solar Cells[J]. Materials, 2021, 14(11):2698.KiruiJ KOlaleruS AJhambaLElucidating the Trajectory of the Charge Transfer Mechanism and Recombination Process of Hybrid Perovskite Solar Cells[J]20211411269810.37247/PAMS2ED.3.2021.28Search in Google Scholar
[11] Santoro F, Petrongolo C, Schatz G C. Trajectory-Surface-Hopping Study of the Renner-Teller Effect in the N(2 D) + H 2 Reaction †[J]. Journal of Physical Chemistry A, 2015, 106(36):8276-8284.SantoroFPetrongoloCSchatzG C.Trajectory-Surface-Hopping Study of the Renner-Teller Effect in the N(2 D) + H 2 Reaction †[J]2015106368276828410.1021/jp014312fSearch in Google Scholar