dr. Gong

1. Hollow 3D PANI@ PSS-rGO microspheres enabling ultra-sensitive room temperature ammonia gas sensing
   Hongping Liang; Zilun Tang; Zhuo Chen; Zhenting Zhao; Min Zeng; Weiping Gong; Fei Wang; Patrick J French; Quan Wang; Hao Li; Guofu Zhou; Yao Wang;
   Sensors and Actuators B,
   Volume 460, Issue 139955, 2026. DOI: https://doi-org.tudelft.idm.oclc.org/10.1016/j.snb.2026.1399
   
   Keywords: ...

   Hollow sphere Graphene Polyaniline Ammonia sensing Room temperature.
   
   
   Abstract: ...

   Designing sensing materials with distinct morphologies remains a key challenge in the development of high-performance gas-sensing devices. In this study, we employed a supramolecular assembly and ice-melting-induced lyophilization (IMIL) technique to synthesize poly (sodium p-styrenesulfonate)-functionalized reduced graphene oxide (PSS-rGO) microspheres. We then used in situ chemical oxidation polymerization to create a hollow three-dimensional (3D) polyaniline-decorated PSS-rGO microspheres (PANI@PSS-rGO) and conducted a trace analysis of ammonia (NH3) at room temperature. The PANI was uniformly decorated on the surfaces of the PSS-rGO microspheres, and the PANI@PSS-rGO exhibited a hollow microsphere morphology. This structure’s large specific surface area provided sufficient adsorption sites and enabled fast multichannel charge transfer. The hollow 3D PANI@PSS-rGO composite had ultra-high sensitivity of 7.06% / ppm at high concentrations and 55.86% / ppm at low concentrations, as well as short response and recovery times of 9 and 120 s, respectively. We attributed the good selectivity, repeatability, and long-term stability of the PANI@PSS-rGO composite to the significant synergistic effect of the PANI and the PSS-rGO. We determined a promising route to room-temperature gas sensors for ultrasensitive trace analysis of NH3, which is enabled by this 3D framework.

2. Deep-Learning-Aided Alternating Least Squares for Tensor CP Decomposition and Its Application to Massive MIMO Channel Estimation
   Xiao Gong; Wei Chen; Bo Ai; Geert Leus;
   IEEE Trans. Commun.,
   Volume 73, Issue 6, pp. 3988-3999, 2025. DOI: 10.1109/TCOMM.2024.3506912
   document

3. A Low-Spur Fractional-N PLL Based on a Time-Mode Arithmetic Unit
   Gao, Zhong; He, Jingchu; Fritz, Martin; Gong, Jiang; Shen, Yiyu; Zong, Zhirui; Chen, Peng; Spalink, Gerd; Eitel, Ben; Alavi, Morteza S.; Staszewski, Robert Bogdan; Babaie, Masoud;
   IEEE Journal of Solid-State Circuits,
   pp. 1-20, 2022. DOI: 10.1109/JSSC.2022.3209338

4. A 2.6-to-4.1GHz Fractional-N Digital PLL Based on a Time-Mode Arithmetic Unit Achieving -249.4dB FoM and -59dBc Fractional Spurs
   Gao, Zhong; He, Jingchu; Fritz, Martin; Gong, Jiang; Shen, Yiyu; Zong, Zhirui; Chen, Peng; Spalink, Gerd; Eitel, Ben; Yamamoto, Ken; Staszewski, Robert Bogdan; Alavi, Morteza S.; Babaie, Masoud;
   In 2022 IEEE International Solid- State Circuits Conference (ISSCC),
   pp. 380-382, 2022. DOI: 10.1109/ISSCC42614.2022.9731561

5. A Fractional-N Digitally Intensive PLL Achieving 428-fs Jitter and<-54-dBc Spurs Under 50-mV \$ \_ \pp\ \$ Supply Ripple
   Chen, Yue; Gong, Jiang; Staszewski, Robert Bogdan; Babaie, Masoud;
   IEEE Journal of Solid-State Circuits,
   2021.

6. Equalization of OSDM over Time-Varying Channels Based on Diagonal-Block-Banded Matrix Enhancement
   Jing Han; Yujie Wang; Zehui Gong; G. Leus;
   Signal Processing,
   Volume 168, pp. 107333, March 2020.

7. A 10-to-12 GHz 5 mW Charge-Sampling PLL Achieving 50 fsec RMS Jitter, -258.9 dB FOM and -65 dBc Reference Spur
   Gong, Jiang; Sebastiano, Fabio; Charbon, Edoardo; Babaie, Masoud;
   In 2020 IEEE Radio Frequency Integrated Circuits Symposium (RFIC),
   pp. 15-18, 2020. DOI: 10.1109/RFIC49505.2020.9218380

8. 19.3 A 200dB FoM 4-to-5GHz Cryogenic Oscillator with an Automatic Common-Mode Resonance Calibration for Quantum Computing Applications
   Gong, Jiang; Chen, Yue; Sebastiano, Fabio; Charbon, Edoardo; Babaie, Masoud;
   In 2020 IEEE International Solid- State Circuits Conference - (ISSCC),
   pp. 308-310, 2020. DOI: 10.1109/ISSCC19947.2020.9062913

9. Benefits and challenges of designing cryogenic CMOS RF circuits for quantum computers
   Mehrpoo, M; Patra, B; Gong, J; van Dijk, JPG; Homulle, H; Kiene, G; Vladimirescu, A; Sebastiano, F; Charbon, E; Babaie, M; others;
   In 2019 IEEE International Symposium on Circuits and Systems (ISCAS),
   IEEE, pp. 1--5, 2019.

10. A 1.33 mW, 1.6 ps rms-Integrated-Jitter, 1.8-2.7 GHz Ring-Oscillator-Based Fractional-N Injection-Locked DPLL for Internet-of-Things Applications
    Gong, Jiang; He, Yuming; Ba, Ao; Liu, Yao-Hong; Dijkhuis, Johan; Traferro, Stefano; Bachmann, Christian; Philips, Kathleen; Babaie, Masoud;
    In 2018 IEEE Radio Frequency Integrated Circuits Symposium (RFIC),
    IEEE, pp. 44--47, 2018.

11. Time estimation with multichannel digital silicon photomultipliers
    E. Venialgo; S. Mandai; T. Gong; D.R. Schaart; E. Charbon;
    Physics in Medicine and Biology,
    Volume 60, Issue 6, pp. 2435-2452, Mar. 2015. DOI: 10.1088/0031-9155/60/6/2435
    document

12. A 67,392 SPAD PVTB-Compensated Multi-Channel Digital SiPM with 432 Column-Parallel 48ps 17-bit TDCs for Endoscopic Time-of-flight PET
    A.J. Carimatto; S. Mandai; E. Venialgo; T. Gong; G. Borghi; D. Schaart; E. Charbon;
    In IEEE International Solid-State Circuits Conference,
    Feb. 2015.
    document

13. Practical Time Mark Estimators for Multichannel Digital Silicon Photomultipliers
    E. Venialgo; S. Mandai; T. Gong; D. Schaart; E. Charbon;
    In IEEE Nuclear Science Symposium,
    Nov. 2015.
    document

14. FPGA Based Fast Gamma-Ray Time Mark Estimator for Ultra-Miniature Endoscopic PET Applications
    T. Gong; S. Mandai; E. Venialgo; A.J. Carimatto; E. Charbon;
    In IEEE Nuclear Science Symposium,
    Nov. 2014.

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