One-day Research Postgraduate Workshop 2021
|Daniel KRISTANTO||How Data-Driven Approach Boost Our Understanding on Brain-Behavior Relationships|
|NI Ziyue||Polyelemental Chiral Nanoparticles Fabricated through Chirality Transfer Mediated with Galvanic Replacement Reactions|
|ZHANG Chujun||Correlating the molecular structure of A-DA’D-A type non-fullerene acceptors to its heat transfer and charge transport properties in organic solar cells|
|CAI Linfeng||Stability of FA0.9Cs0.1PbI3 perovskite solar cells|
|CHENG Xingye||Uncovering pharmacological principles of TCM with machine learning|
Presenter: FENG Mi
Presention Topic: Optimal prioritization strategy of COVID-19 vaccines by using steady-state prediction in data-calibrated non-Markovian age-stratified model
Based on non-Markovian compartmental models calibrated through clinical data, we propose an effective strategy of vaccine optimal distribution for minimizing the losses caused by COVID-19 pandemic compared with other empirical vaccine allocations and the currently adopted vaccination implementation. Our results provide meaningful references for future vaccination in countries lacking vaccines and the vaccine allocation for future mutant virus prevention.
Presenter: SUEN Chun Wai
Presention Topic: Spectral selective perovskite/organic hybrid photodetectors
We report a spectral selective perovskite/organic hybrid photodetector that responses to two distinct spectral ranges through controlling the biases across the device. Perovskite layer and organic layer show multiple functions of either donating carriers or blocking carriers according to the applied bias. The perovskite/organic hybrid photodetector has a low spectral crosstalk, providing an exciting opportunity for applications in band-selective photodetection.
Presenter: LI Kwan Tung
Presention Topic: Potential mechanism of gamma oscillation facilitating effective learning through spike-timing dependent plasticity
Gamma oscillation in neural circuits is believed to associate with effective learning in the brain, while the underlying mechanism is unclear. We aims to understand how spike-timing-dependent plasticity (STDP), with its interaction with gamma oscillation, shapes the network dynamics properties and the network structure formation. Our study reveals a potential mechanism about the benefits of gamma oscillation on learning.
Presenter: WANG Rong
Presention Topic: Segregation, integration and balance of large-scale resting brain networks configure different cognitive abilities
Resting brains of healthy young adults maintain a segregation–integration balance to support the heterogeneous demands of diverse cognitive abilities, and across individuals, segregation, integration, and their balance predict different cognitive abilities. The functional balance supports the best memory, higher segregation corresponds to better crystallized intelligence and processing speed, and higher integration is associated with better general cognitive abilities.
Presenter: ZHANG Zhuoqiong
Presention Topic: Boosting Charge and Thermal Transport – Role of Insulators for Stable and Efficient N-type Polymer Transistors
Three n-type polymers are blended with insulator. Despite the thermally and electrically insulating properties of insulator, the blends possess enhanced mobilities, durability, heat transfer and electronic properties. The counter-intuitive outcome is rationalized by the inhomogeneous dilution: The insulator mixes with the amorphous phase, passivates phonons and charge trappings, offering more efficient transport pathways. This work provides mechanistic insights into semiconductor/insulator blends.
Presenter: HAN Jiayin
Presention Topic: Stability improvement of nonfullerene OSCs through interlayer modification
Many progresses have been made in high-performance nonfullerene organic solar cells (OSCs), a promising alternative photovoltaic (PV) technology to the traditional inorganic semiconductor solar cells, due to the advantages of lightweight, large-area, mechanical flexibility and solution fabrication capability. For promoting the commercialization of OSCs, both high power conversion efficiency (PCE) and long-lifetime need to be realized. Nonfullerene OSCs with a PCE of >17% have been demonstrated recently. However, the stability of the nonfullerene OSCs is still less than satisfactory as compared to the conventional inorganic semiconductor solar cells. The understanding of the degradation mechanisms in nonfullerene OSCs is still very nebulous. The key issues causing the degradation in the OSCs and how nonfullerene acceptors affect the efficiency and stability of OSCs remain unclear. This work provides an improved understanding of the effects of built-in potential on charge transfer and charge recombination, which underpin the optimal cell performance and stability of OSCs. In this talk, I will discuss the built-in potential, charge transport and interfacial engineering related issues for solution-processable nonfullerene OSCs and elucidate how to retain a stable and high built-in potential across the bulk heterojunction through interfacial modification and device engineering for efficient and stable operation of nonfullerene OSCs.
Presenter: LIU Hongshuai
Presention Topic: Asymmetric Photocatalysis for Degradation of RhB by Circular Polarized Light
Chiral structures play important role in producing single-enantiomer products in industry, and chiral structures are sensitive to circular polarized light (CPL) due to its anisotropic absorbance of light. This project used GLAD (Glancing Angel Deposition) to fabricate semiconductor CdSe, which serves as asymmetric photocatalysis. Under CPL, CdSe are illuminated to interact with molecule of RhB and produce enantiomeric degradation value. The concentration of RhB molecule after irradiation is measured by UV-vis and the differential between chiral catalysis and CPL are being investigated.
Presenter: CHAN Chak Ming
Presention Topic: Real-space renormalization group transformation from CNN
We report a novel scheme to perform real-space renormalization group (RG) transformation based on supervised machine learning. The 2D Potts model on a square lattice is used as an example. Effective model parameters that characterize the distribution of transformed configurations are extracted using pseudolikelihood estimation. Critical exponents for the transition are estimated using Monte Carlo renormalization group (MCRG).
Presenter: MA Yicong
Presention Topic: Thermal Stability Enhancement of Chiral Ag Nanoparticles by Binary Alloying with Al
Chiral nanoparticles (CNP) of silver (Ag), aluminum (Al) and AgAl binary alloy were generated by glancing angle deposition (GLAD) and then annealed under temperature up to 200oC, 500oC and 600oC, respectively. The addition of Al was found significantly enhance the thermal stability of unary Ag which property of chirality was faded away under 200oC. Al could perform better than Ag regarding of stability of g-factor when annealing temperature beyond 200oC and still contain chirality up to 500oC.