F

Fang Liu

University of Shanghai for Science and Technology

ORCID: 0000-0002-4229-7856

Publishes on Perovskite Materials and Applications, Quantum Dots Synthesis And Properties, Chalcogenide Semiconductor Thin Films. 82 papers and 1.7k citations.

82Publications
1.7kTotal Citations

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Top publicationsby citations

How lasing happens in CsPbBr3 perovskite nanowires
Andrew P. Schlaus, Michael S. Spencer, Kiyoshi Miyata et al.|Nature Communications|2019
Cited by 237Open Access

Abstract Lead halide perovskites are emerging as an excellent material platform for optoelectronic processes. There have been extensive discussions on lasing, polariton formation, and nonlinear processes in this material system, but the underlying mechanism remains unknown. Here we probe lasing from CsPbBr 3 perovskite nanowires with picosecond (ps) time resolution and show that lasing originates from stimulated emission of an electron-hole plasma. We observe an anomalous blue-shifting of the lasing gain profile with time up to 25 ps, and assign this as a signature for lasing involving plasmon emission. The time domain view provides an ultra-sensitive probe of many-body physics which was obscured in previous time-integrated measurements of lasing from lead halide perovskite nanowires.

Oxidative Povarov Reaction via sp<sup>3</sup> C–H Oxidation of <i>N</i>-Benzylanilines Induced by Catalytic Radical Cation Salt: Synthesis of 2,4-Diarylquinoline Derivatives
Jing Liu, Fang Liu, Yingzu Zhu et al.|Organic Letters|2015
Cited by 91

Oxidative Povarov reaction of N-benzylanilines was realized under catalytic radical cation salt induced conditions. The mechanism studies revealed that a radical intermediate was involved in this catalytic oxidation. This method provides a new way to synthesize 2,4-diarylquinoline derivatives.

Statistically Planned and Individually Improved Predictive Maintenance Management for Continuously Monitored Degrading Systems
Ming‐Yi You, Fang Liu, Wen Wang et al.|IEEE Transactions on Reliability|2010
Cited by 89

This paper proposes a statistically planned and individually improved predictive maintenance (SPII PdM) policy for a batch of single-unit systems. The SPII PdM policy simultaneously takes advantage of 1) the capability of classical statistical lifetime distribution based (SLD-based) preventive maintenance (PM) policies for long-term planning, and 2) the capability of PdM techniques for predicting the residual life (RL) of an individual system. Within the framework of a classical SLD-based PM policy aiming at maximizing long-term average availability, two lifetime margins are proposed in the decision making process to further improve the availability of some (but not all) individuals. A numerical experiment based on a typical degradation model is used to compare the performance of the proposed policy with that of the classical SLD-based PM policy. The comparison results show that higher average availability is achieved in the SPII PdM policy with a decent RL prediction model. For practical implementation, the current study demonstrates the possibility of partially applying the emerging PdM techniques in the widely used SLD-based PM policy in a (approximately) theoretically effective manner.