Yifan Zhu

Rice University

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i-10 index

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Co-Authors

Jun Lou

Rice University

Eilaf Egap

Rice University

Qing Ai

Rice University

Pulickel M. Ajayan

Rice University

Keith Man‐Chung Wong

Southern University of Science and Technology

Zhi‐Yong Han

University of Science and Technology of China

Qiyi Fang

Rice University

Yifeng Liu

Chengdu Medical College

Tianshu Zhai

Guangdong Medical College

Dongyang Zhu

Tianjin University

Cooperative Institutions

Rice University

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Southern University of Science and Technology

China University of Petroleum, East China

University of Science and Technology of China

Shanghai Jiao Tong University

Central South University

Sichuan University

Shanghai University

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Competition of Dexter, Förster, and charge transfer pathways for quantum dot sensitized triplet generation

The Journal of Chemical Physics (2020)

Tao Jin Natalie Uhlikova Zihao Xu Yifan Zhu Yiming Huang

Quantum dot (QD) sensitized triplet exciton generation has demonstrated promising applications in various fields such as photon up-conversion through triplet-triplet annihilation. However, how direct triplet energy transfer from the QD to the acceptor through Dexter energy transfer (DET) competes with other processes, including Förster resonance energy transfer (FRET) and charge transfer, remains poorly understood. Herein, the competition of these pathways for QD-sensitized triplet excited state generation in CdSe QD-modified boron dipyrromethene (BODIPY) complexes is studied using transient absorption spectroscopy. After excitation of the CdSe QD with 500 nm pulses, the BODIPY triplet excited state is generated through charge recombination in a charge separated intermediate state (QD-·-BODIPY+·). This intermediate state is populated either through FRET from the excited QD to BODIPY followed by electron transfer from the singlet excited state of BODIPY to the QD or through hole transfer from the excited QD to BODIPY. The triplet excited state generation efficiencies from the FRET and hole transfer pathways are estimated to be (6.18 ± 1.39)% and (13.5 ± 3.1)%, respectively. Compared to these indirect pathways, direct DET from the QD to the BODIPY triplet state is kinetically not competitive. These results demonstrate that sequential charge transfer can be an efficient pathway for triplet excited state generation in QD-acceptor complexes.

BODIPY

Singlet fission

Acceptor

10.1063/5.0009833

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Citations (37)

Enhancement of compressive behavior and energy absorption of a skull-inspired lattice structure for suppressing shear bands

Engineering Structures (2024)

Yifan Zhu Fengxiang Xu Xiaoqiang Niu Zhen Zou Zhengpao Liu

Lattice (music)

10.1016/j.engstruct.2024.119575

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Citations (0)

Versatile Metal-Free Photocatalysts Based on 3D Covalent Organic Frameworks Capable of Reductive and Oxidative Organic Transformations and Polymerizations

Macromolecules (2024)

Dongyang Zhu Yu Chen Yifan Zhu Chun-Yen Liu Qianqian Yan

There is a need for versatile and effective organic photocatalysts to enable a variety of chemical transformations under mild reaction conditions, and covalent organic frameworks (COFs) are promising crystalline, porous, and sustainable materials for use as heterogeneous photocatalysts. However, prior work with COF photocatalysts has focused primarily on two-dimensional rather than three-dimensional (3D) COF photocatalysts and has not demonstrated the catalysis of both oxidative and reductive transformations. In this work, we investigate the photocatalytic properties of two photoactive 3D COFs. We show that these COFs have broad light absorption and a strong photocurrent response and are effective heterogeneous catalysts for both oxidative and reductive processes, including debromination, chain-growth polymerizations, thiol-ene click reactions, and thiol-ene step-growth polymerizations. Density functional theory calculations demonstrate that these COFs possess strong donor–acceptor and charge carrier separation properties and have appropriate energy level alignments for debromination and thiol oxidation reactions. This work demonstrates the enormous potential of photoactive 3D COFs as both reductive and oxidative photocatalysts.

Photocurrent

Covalent organic framework

Reductive elimination

10.1021/acs.macromol.3c02490

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Citations (8)

A Stochastic Traffic Flow Model-Based Reinforcement Learning Framework For Advanced Traffic Signal Control

IEEE Transactions on Intelligent Transportation Systems (2024)

Yifan Zhu Yisheng Lv Shu Lin Jungang Xu

10.1109/tits.2024.3494251

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Citations (0)

Synthesis of Polycyclic Amines through Mild Metal‐Free Tandem Cross‐Dehydrogenative Coupling/Intramolecular Hydroarylation of N‐Aryltetrahydroisoquinolines and Crotonaldehyde

European Journal of Organic Chemistry (2014)

Xiang Wu Dian‐Feng Chen Shusen Chen Yifan Zhu

Abstract A [4+2] cycloaddition reaction proceeding through tandem cross‐dehydrogenative coupling/intramolecular hydroarylation between N ‐aryltetrahydroisoquinolines and crotonaldehyde was developed by virtue of enamine–iminium catalysis, which enabled the rapid construction of ring‐fused tetrahydroquinolines. The first metal‐free catalytic oxidative coupling of γ‐selective C(sp 3 )–H bonds of crotonaldehyde was realized by using a secondary amine catalyst and 2,3‐dichloro‐5,6‐dicyanoquinone.

Crotonaldehyde

Iminium

Enamine

Tandem

10.1002/ejoc.201403375

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Citations (18)

Thiol ligand capped quantum dot as an efficient and oxygen tolerance photoinitiator for aqueous phase radical polymerization and 3D printing under visible light

Polymer Chemistry (2021)

Yifan Zhu Emira Ramadani Eilaf Egap

We report here a rapid visible-light-induced radical polymerization in aqueous media photoinitiated by only ppm level thiol ligand capped cadmium selenide quantum dots. The photoinitiation system could be readily employed for photo 3D printing.

Thiol

Cadmium selenide

Visible spectrum

Selenide

10.1039/d1py00705j

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Citations (32)

Traffic Flow Model Based Bayesian Reinforcement Learning For Traffic Signal Control

2022 34th Chinese Control and Decision Conference (CCDC) (2024)

Yifan Zhu Shu Lin

SIGNAL (programming language)

10.1109/ccdc62350.2024.10588128

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Citations (0)

Toward Controlled Synthesis of 2D Crystals by CVD: Learning from the Real-Time Crystal Morphology Evolutions

Nano Letters (2024)

Jing Zhang Tianshu Zhai Faizal Arifurrahman Yuguo Wang Andrew Hitt

The rich morphology of 2D materials grown through chemical vapor deposition (CVD), is a distinctive feature. However, understanding the complex growth of 2D crystals under practical CVD conditions remains a challenge due to various intertwined factors. Real-time monitoring is crucial to providing essential data and enabling the use of advanced tools like machine learning for unraveling these complexities. In this study, we present a custom-built miniaturized CVD system capable of observing and recording 2D MoS2 crystal growth in real time. Image processing converts the real-time footage into digital data, and machine learning algorithms (ML) unveil the significant factors influencing growth. The machine learning model successfully predicts CVD growth parameters for synthesizing ultralarge monolayer MoS2 crystals. It also demonstrates the potential to reverse engineer CVD growth parameters by analyzing the as-grown 2D crystal morphology. This interdisciplinary approach can be integrated to enhance our understanding of controlled 2D crystal synthesis through CVD.

Crystal (programming language)

Morphology

Feature (linguistics)

10.1021/acs.nanolett.3c04016

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Citations (6)

Self-powered, broadband perovskite photodetector based on ZnO microspheres as scaffold layer

Applied Surface Science (2018)

Yifan Zhu Zehao Song Hai Zhou Dingjun Wu Runhao Lu

Ultraviolet

Specific detectivity

10.1016/j.apsusc.2018.04.047