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| 1 | Recent advances in ionic liquids-based hybrid processes for CO_(2) capture and utilization显示文摘CO_(2) capture and utilization(CCU)is an effective strategy to mitigate global warming.Absorption,adsorption and membranes are methods used for CO_(2) separation and capture,and various catalytic pathways have also been developed for CO_(2) utilization.Although widely researched and used in industry,these processes are energy-intensive and this challenge needs to be overcome.To realize further optimization,novel materials and processes are continuously being developed.New generation materials such as ionic liquids(ILs)have shown promising potential for cost-effective CO_(2) capture and utilization.This study reviews the current status of ILs-based solvents,adsorbents,membranes,catalysts and their hybrid processes for CO_(2) capture and utilization.The special properties of ILs are integrated into new materials through hybridization,which significantly improves the performance in the process of CCU. | Shaohan Lian Chunfeng Song Qingling Liu Erhong Duan Hongwei Ren Yutaka Kitamura | 2021 | Journal of Environmental Sciences2021，33，1： | 9 |
| 2 | Automated pipeline for superalloy data by text mining显示文摘Data provides a foundation for machine learning,which has accelerated data-driven materials design.The scientific literature contains a large amount of high-quality,reliable data,and automatically extracting data from the literature continues to be a challenge.We propose a natural language processing pipeline to capture both chemical composition and property data that allows analysis and prediction of superalloys.Within 3 h,2531 records with both composition and property are extracted from 14,425 articles,coveringγ′solvus temperature,density,solidus,and liquidus temperatures.A data-driven model forγ′solvus temperature is built to predict unexplored Co-based superalloys with highγ′solvus temperatures within a relative error of 0.81%.We test the predictions via synthesis and characterization of three alloys.A web-based toolkit as an online open-source platform is provided and expected to serve as the basis for a general method to search for targeted materials using data extracted from the literature. | Weiren Wang Xue Jiang Shaohan Tian Pei Liu Depeng Dang Yanjing Su Turab Lookman Jianxin Xie | 2022 | npj Computational Materials2022，，1： | 2 |
| 3 | Pushing the limit of thermal conductivity of MAX borides and MABs显示文摘The emergence of MAX borides as well as MAB phases attracted great attention because of the renewable developments of ternary ceramics and offering great opportunities in potential applications.However,the number of borides remains limited,and further fundamental descriptions and detailed investigations on various properties are still lacking.In this report,we employ an integrated computational scheme that combines density functional theory with the evolutional algorithm to search for the favorable structures of P-and S-glued ternary borides terminated by Nb metal.We discover that the structures of 212-type,as e.g.Nb_(2)PB_(2)and Nb_(2)SB_(2),belong to the P6m2 space group,while those of 211-type,as e.g.Nb_(2)PB and Nb_(2)SB,prefer to crystallize in the P6_(3)/mmc space group,and the corresponding carbides Nb_(2)PC and Nb_(2)SC are also considered for the sake of completeness and comparative analsys.The predicted Nb_(2)PB_(2),Nb_(2)PB,Nb_(2)SB,Nb_(2)PC and Nb_(2)SC are energetically stable,as revealed by the negative formation energies and by the proposed reaction paths with respect to the most competing phases,as well as dynamically stable,as suggested by the non-imaginary phonon spectra.The thermal conductivities of the six materials show unusual behaviors,particularly for the acoustic and optical contributions,and are accompanied by a strong anisotropy.Most importantly,Nb_(2)PB_(2) is found to be an excellent thermal conductor with a total thermal conductivity of~65 W/(m K),while Nb_(2)SC is found to be an ultra-low thermal conductor,with a total thermal conductivity of~5 W/(m K).These values are clearly outside the currently reported range of thermal conductivities,which makes Nb_(2)PB_(2)and Nb_(2)SC extremely interesting for fundamental research as well as prospective applications with the aid of artificial tunings on the almost independent MB block and the A layer.The discovery of these novel materials is expected to contribute substantially to the rapid development of ternary ceramics and to accelerate attempts in the applicability of MAX phases for heat conduction. | Shaohan Li Weiwei Sun Yi Luo Jin Yu Litao Sun Bao-Tian Wang Ji-Xuan Liu Guo-Jun Zhang Igor Di Marco | 2022 | Journal of Materials Science & Technology2022，，2： | 2 |
| 4 | A Development of AVL Tree: HAVL Tree 显示文摘 | Liu Shaohan Gao Tianxing Huang Zhiqiu | 2011 | Jourmal of China Three Gorges Univ: Natural Sciences2011，33，1： | 1 |
| 5 | Apoptosis induced by NaYF_4:Eu^(3+) nanoparticles in liver cells via mitochondria damage dependent pathway显示文摘As lanthanide-doped sodium yttrium flouride(NaYF_4)nanoparticles have great potential inbiomedical applications,their biosafety is important and has attracted significant attention.In the present work,three different sized NaYF_4:Eu^(3+)nanoparticles have been prepared.Liver BRL 3 A cell was used as a cell model to evaluate their biological effects.Cell viability and apoptosis assays were used to confirm the cytotoxicity induced by NaYF_4:Eu^(3+)NPs.Apart from the elevated malondialdehyde(MDA),the decrease of superoxide dismutase(SOD),glutathione peroxidase(GSH-PX)and catalase(CAT)activity indicated reactive oxygen species(ROS)generation,which were associated with oxidative damage.The decrease of mitochondrial membrane potential(MMP)value demonstrated the occurrence of mitochondria damage.Then,release of cytochrome c from mitochondria and activation of caspase-3 confirmed that NaYF_4:Eu^(3+)NPs induced apoptosis was mitochondria damage-dependent. | Shaohan Zhang Shizhu Chen Chunyue Gao Yi Jin Guang Jia Zhenhua Li Dandan Liu Xingjie Liang Xinjian Yang Jinchao Zhang | 2017 | Science China Chemistry2017，60，1： | 0 |
| 6 | Alloy synthesis and processing by semi-supervised text mining显示文摘Alloy synthesis and processing determine the design of alloys with desired microstructure and properties.However,using data science to identify optimal synthesis-design routes from a specified set of starting materials has been limited by large-scale data acquisition.Text mining has made it possible to convert scientific text into structured data collections.Still,the complexity,diversity,and flexibility of synthesis and processing expressions,and the lack of annotated corpora with a gold standard severely hinder accurate and efficient extraction.Here we introduce a semi-supervised text mining method to extract the parameters corresponding to the sequence of actions of synthesis and processing.We automatically extract a total of 9853 superalloy synthesis and processing actions with chemical compositions from a corpus of 16,604 superalloy articles published up to 2022.These have then been used to capture an explicitly expressed synthesis factor for predictingγ′phase coarsening.The synthesis factor derived from text mining significantly improves the performance of the data-drivenγ′size prediction model.The method thus complements the use of data-driven approaches in the search for relationships between synthesis and structures. | Weiren Wang Xue Jiang Shaohan Tian Pei Liu Turab Lookman Yanjing Su Jianxin Xie | 2023 | npj Computational Materials2023，，1： | 0 |
| 7 | Register Allocation Compilation Technique for ASIP in 5G Micro Base Stations显示文摘The currently available compilation techniques are for general computing and are not optimized for physical layer computing in 5G micro base stations.In such cases,the foreseeable data sizes and small code size are application specific opportunities for baseband algorithm optimizations.Therefore,the special attention can be paid,for example,the specific register allocation algorithm has not been studied so far.The compilation for kernel sub-routines of baseband in 5G micro base stations is our focusing point.For applications of known and fixed data size,we proposed a compilation scheme of parallel data accessing,while operands can be mainly allocated and stored in registers.Based on a small register group(48×32b),the target of our compilation scheme is the optimization of baseband algorithms based on 4×4 or smaller matrices,maximizing the utilization of register files,and eliminating the extra register data exchanging.Meanwhile,when data is allocated into register files,we used VLIW(Very Long Instruction Word)machine to hide the time of data accessing and minimize the cost of data accessing,thus the total execution time is minimum.Experiments indicate that for algorithms with small data size,the cost of data accessing and extra addressing can be minimized. | Wei Chen Dake Liu Shaohan Liu | 2022 | China Communications2022，19，8： | 0 |
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