Jie Cheng

Intensifying long‐chain esterification using double salt ionic liquids: A case study of active tuning strategy

Kunchi Xie, J Chen, Jie Cheng, Jiawei Ruan et autres

Abstract Despite the significantly enlarged chemical space and enhanced property tunability of double salt ionic liquids (DSILs) as opposed to conventional organic solvents and two‐ion ionic liquids, their applications, particularly in long‐chain esterification and related reactions, still remain scarcely studied. In this …

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Hybridized Local and Charge‐Transfer Emitter With a Dual‐Hindered Indoline Donor for Fast and Efficient Red Plastic Scintillators

Qiqi Xu, Hongying He, Yiyan Guan, Guofeng Yi et autres

ABSTRACT Flexible organic red/NIR scintillators that convert ionizing radiation into long‐wavelength photons are intrinsically compatible with silicon photomultiplier (SiPM), offering strong potential for medical imaging and non‐destructive testing. However, their practical development is limited by inadequate radiation absorption, inefficient exciton utilization, and …

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Hybridized Local and Charge‐Transfer Emitter With a Dual‐Hindered Indoline Donor for Fast and Efficient Red Plastic Scintillators

Qiqi Xu, Hongying He, Yiyan Guan, Guofeng Yi et autres

ABSTRACT Flexible organic red/NIR scintillators that convert ionizing radiation into long‐wavelength photons are intrinsically compatible with silicon photomultiplier (SiPM), offering strong potential for medical imaging and non‐destructive testing. However, their practical development is limited by inadequate radiation absorption, inefficient exciton utilization, and …

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Research on risk identification and assessment for unmanned aerial vehicle maritime transportation

Zhao Qi, Jie Cheng, Tian Tian

Aiming at the problem of quantitative risk assessment of UAV maritime transportation system, this paper proposes a dynamic risk assessment method integrating fuzzy set theory and Bayesian network. Firstly, based on the analysis of the whole transportation process, a risk assessment system …

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Facile and robust synthesis of wafer-scale continuous highly oriented MoS2 films by the confined space method

Chuang Tian, Xiaochi Tai, Yanping Sui, Yujie Feng et autres

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Rational design of hydrophobic type Ⅴ deep eutectic solvents as efficient CO2 absorbents

Hao Qin, Jie Cheng, Jingwen Wang, Zhen Song

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Rational screening-validation and mechanism analysis of ionic liquids for peeling cathode materials off aluminum foil from end-of-life lithium-ion batteries

Qian Liu, Kunchi Xie, Jie Cheng, Jiawei Ruan et autres

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Rational design and experimental evaluation of novel amino acid-based natural deep eutectic solvents for CO2 capture

Jie Cheng, Yuxin Qiu, Jiahui Chen, Yuqi Gu et autres

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Machine learning boosted eutectic solvent design for CO2 capture with experimental validation

Xiaomin Liu, Jiahui Chen, Yuxin Qiu, Kunchi Xie et autres

Abstract Although eutectic solvents (ESs) have garnered significant attention as promising solvents for carbon dioxide (CO2) capture, systematic studies on discovering novel ESs linking machine learning (ML) and experimental validation are scarce. For the reliable prediction of CO2‐in‐ES solubility, ensemble ML modeling …

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A large extension of the modified UNIFAC model for IL–solute systems by combining hybrid activity coefficient databases

Ruofan Gu, Jiahui Chen, Jie Cheng, Guzhong Chen et autres

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Molecular characteristics and oncogenic role of CHD family genes: a pan-cancer analysis based on bioinformatic and biological analysis

Yujia Lu, Jiebang Jiang, Zhihong He, Zhouzhou Bao et autres

Chromodomain helicase DNA-binding protein (CHD) gene family, an ATP (adenosine triphosphate) -dependent chromatin remodeler family, is involved in multiple developmental process and tumor development. However, there have been none pan-cancer analyses of this family. The expression levels, survival profiles, mutation profiles and …

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Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models

Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng et autres

For discovering uncharted chemical space of ionic liquids (ILs) for CO2 dissolution, a reliable generative framework combining re-balanced variational autoencoder (VAE), artificial neural network (ANN), and particle swarm optimization (PSO) is developed based on a comprehensive experimental solubility database from literature. The …

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