|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Machine learning guided appraisal and exploration of phase design for high entropy alloys显示文摘High entropy alloys(HEAs)and compositionally complex alloys(CCAs)have recently attracted great research interest because of their remarkable mechanical and physical properties.Although many useful HEAs or CCAs were reported,the rules of phase design,if there are any,which could guide alloy screening are still an open issue.In this work,we made a critical appraisal of the existing design rules commonly used by the academic community with different machine learning(ML)algorithms.Based on the artificial neural network algorithm,we were able to derive and extract a sensitivity matrix from the ML modeling,which enabled the quantitative assessment of how to tune a design parameter for the formation of a certain phase,such as solid solution,intermetallic,or amorphous phase.Furthermore,we explored the use of an extended set of new design parameters,which had not been considered before,for phase design in HEAs or CCAs with the ML modeling.To verify our ML-guided design rule,we performed various experiments and designed a series of alloys out of the Fe-Cr-Ni-Zr-Cu system.The outcomes of our experiments agree reasonably well with our predictions,which suggests that the ML-based techniques could be a useful tool in the future design of HEAs or CCAs. | Ziqing Zhou Yeju Zhou Quanfeng He Zhaoyi Ding Fucheng Li Yong Yang | 2019 | npj Computational Materials2019，，1： | 16 |
| 2 | Effect of variety and drying method on the nutritive value of corn for growing pigs显示文摘Background:This experiment was conducted to determine the nutritive value of corn from the north of China for growing pigs.The experiment examined corn variety(LS1,LS2,LS3 and LS4)grown in one location,drying method(sun dried and artificially dried)and different drying temperatures.Corn harvested at 20-25%moisture was dried to about 12%moisture by sun drying and artificially drying at 80,100,or 120℃ in a fluidized bed dryer.Ninety-six barrows(average BW of 33.4 ± 2.7 kg)were housed in individual metabolism crates to facilitate separate collection of feces and urine.A five-day collection period followed a seven-day diet acclimation period.Results:The results indicated that variety significantly influenced(P<0.01)the 1,000 kernel weight of corn but not the bulk weight.Variety also influenced the available energy content(digestible energy of dry matter,P<0.01;metabolisable energy of dry matter,P<0.01)and digestibility of organic matter(P<0.01),as well as dry matter(P<0.01)and gross energy(GE)content(P<0.02).The drying method of corn significantly influenced the 1,000 kernel weight(P<0.01),bulk weight(P<0.01)and digestibility of ether extract(EE)(P<0.01).No effect of drying temperature on the digestibility of organic matter,dry matter(DM),crude protein(CP),neutral detergent fiber(NDF),acid detergent fiber(ADF)and gross energy was observed,but gelatinization(P<0.05)and test weight(P<0.01)decreased with an increase in temperature.Conclusions:Variety has a significant impact on the nutritive value of corn for growing pigs,and greater attention needs to be paid to these influences in the assignment of the nutritive value of corn given to growing pigs. | Quanfeng Li Meng Shi Chuanxin Shi Dewen Liu Xiangshu Piao Defa Li Changhua Lai | 2014 | Journal of Animal Science and Biotechnology2014，5，4： | 5 |
| 3 | Use of near-infrared reflectance spectroscopy for the rapid determination of the digestible energy and metabolizable energy content of corn fed to growing pigs显示文摘Background: The ability of near-infrared reflectance spectroscopy(NIRS) to determine the digestible energy(DE)and metabolizable energy(ME) content of corn fed to growing pigs was tested. One hundred and seventeen corn samples, comprising different planting regions and varieties were collected from all over China in a three-year period. The samples were randomly split into a calibration set(n = 88) and a validation set(n = 29). The actual and calculated DE and ME content of the corn samples was determined by digestion-metabolism experiments and the prediction equations of Noblet and Perez(J Anim Sci. 71:3389–98,1993). The samples were then subjected to NIRS scanning and calibrations were performed by the modified partial least square(MPLS) regression method based on77 different spectral pre-treatments. The NIRS equations based on the actually determined and calculated DE and ME were built separately and then validated using validation samples.Results: The NIRS equations obtained from actually determined DE, the coefficient of determination for calibration(RSQ_(cal)), cross-validation(R^2_(CV)), and validation(RSQ_v) were 0.89, 0.87 and 0.86, and these values for determined ME were 0.87, 0.86 and 0.86. For the NIRS equations built from calculated DE, the RSQ_(cal), R^2_(CV), and RSQvvalues were 0.88, 0.85 and 0.84, and these values for calculated ME were 0.86, 0.84 and 0.82. Except for the equation based on calculated ME(RPD_v= 2.38, < 2.50), the other three equations built from actually determined energy and calculated DE produced good prediction performance(RPD_vranging from 2.53 to 2.69, > 2.50) when applied to validation samples.Conclusion: These results indicate that NIRS can be used as a quantitative method for the rapid determination of the available energy in corn fed to growing pigs, and the NIRS equations based on the actually determined energy produced better predictive performance than those built from calculated energy values. | Juntao Li Quanfeng Li Defa Li Yiqiang Chen Xiaoxiao Wang Wenjun Yang Liying Zhang | 2017 | Journal of Animal Science and Biotechnology2017，8，1： | 4 |
| 4 | Predicting corn digestible and metabolizable energy content from its chemical composition in growing pigs显示文摘Background:The nutrient composition of corn is variable.To prevent unforeseen reductions in growth performance,grading and analytical methods are used to minimize nutrient variability between calculated and analyzed values.This experiment was carried out to define the sources of variation in the energy content of com and to develop a practical method to accurately estimate the digestible energy(DE) and metabolisable energy(ME)content of individual com samples for growing pigs.Twenty samples were taken from each of five provinces in China(Jilin,Hebei,Shandong,Liaoning,and Henan) to obtain a range of quality.Results:The DE and ME contents of the 100 corn samples were measured in 35.3 ± 1.92 kg growing pigs(six pigs per corn sample).Sixty corn samples were used to build the prediction model;the remaining forty samples were used to test the suitability of these models.The chemical composition of each corn sample was determined,and the results were used to establish prediction equations for DE or ME content from chemical characteristics.The mean DE and ME content of the 100 samples were 4,053 and 3,923 kcal/kg(dry matter basis),respectively.The physical characteristics were determined,as well,and the results indicated that the bulk weight and 1,000-kernel weight were not associated with energy content.The DE and ME values could be accurately predicted from chemical characteristics.The best fit equations were as follows:DE,kcal/kg of DM = 1062.68 +(49.72 x EE) +(0.54 x GE) +(9.11 x starch),with R^2 = 0.62,residual standard deviation(RSD) = 48 kcal/kg,and P< 0.01;ME,kcal/kg of dry matter basis(DM) = 671.54 +(0.89 x DE)-(5.57 x NDF)-(191.39 x ash),with R2 = 0.87,RSD = 18 kcal/kg,and P<0,01.Conclusion:This experiment confirms the large variation in the energy content of corn,describes the factors that influence this variation,and presents equations based on chemical measurements that may be used to predict the DE and ME content of individual corn samples. | Quanfeng Li Jianjun Zang Dewen Liu Xiangshu Piao Chanqhua Lai Defa Li | 2014 | Journal of Animal Science and Biotechnology2014，5，3： | 2 |
| 5 | Mod- eling and application of GM( 1, 1), growth curve and Markov combination to natural gas consumption forecast显示文摘 | Gao Jun Song Shugui Wu Peng Xiong Jing Li Quanfeng | 2012 | Journal of Southwest Petroleum University: Social Sciences Edition2012，14，1： | 1 |
| 6 | 3D bioprinted breast tumor model for structure–activity relationship study显示文摘In this paper,we present a 3D printed tumor spheroidal model suitable for drug discovery.This model is based on a hydroxyethyl cellulose/alginate/gelatin(HCSG)composite biomaterial that has three distinct properties:(1)the HCSG is similar to the commercial basement membrane extract in Ki67,MUC1,and PARP1 expressions of MCF-7 cells for embedding culture;(2)the HCSG is printable at room temperature;and(3)the HCSG can be large-scale manufactured at an ultralow cost.We printed a 3D MCF-7 spheroid model with HCSG and characterized it in terms of cell viability,spheroid size,key protein expression,and mitochondrial metabolic activity.We used the 3D MCF-7 spheroid model to evaluate the anti-breast cancer activity of 13 amino acid-based flavone phosphoramidates and found that the alanine structure induced a stronger drug resistance,whereas phenylalanine hardly caused drug resistance in the MCF-7 cells.This is the first time that 3D bioprinting technology has been used in a structure–activity relationship study. | Xiaorui Li Quanfeng Deng Tiantian Zhuang Yao Lu Tingjiao Liu Weijie Zhao Bingcheng Lin Yong Luo Xiuli Zhang | 2020 | Bio-Design and Manufacturing2020，3，4： | 0 |
| 7 | A robust interphase via in-situ pre-reconfiguring lithium anode surface for long-term lithium-oxygen batteries显示文摘Lithium-oxygen(Li-O) battery is considered as one of the most promising alternatives because of its ultrahigh theoretical energy density. However, their cycling stability is severely restricted by the uncontrollable dendrite growth and serious oxygen corrosion issue on Li surface. Herein, a sulfur-modified Li surface can be successfully constructed via chemical reaction of guanylthiourea(GTU) molecule on Li,which can induce the selectively fast decomposition of lithium bis(trifluoromethanesulfonyl)imide(LiTFSI) to form a smooth and stable inorganics-rich solid-electrolyte interphase(IR-SEI) during the subsequent electrochemical process. Such an IR-SEI cannot only offer a highly reversible and stable Li plating/stripping chemistry with dendrite-free property(10 mA cm^(-2)-10 mAh cm^(-2), > 0.5 years;3 mA cm^(-2)-3 m Ah cm^(-2), > 1 year) but also endows the Li metal an anti-oxygen corrosion function, thereby significantly improving the cycling stability of Li-Obatteries. This work provides a new idea for constructing functional solid-electrolyte interphase(SEI) to achieve highly stable Li metal anode. | Pan Xu Xiaodong Lin Zongqiang Sun Kaixuan Li Wenjie Dou Qing Hou Zhiyou Zhou Jiawei Yan Mingsen Zheng Ruming Yuan Quanfeng Dong | 2022 | Journal of Energy Chemistry2022，31，9： | 0 |
| 8 | N-doped carbon nanocube with zinc oxide sodiophilic sites enables a superior sodium metal anode显示文摘The metallic Na has been regarded as the most promising anode for next-generation sodium metal batteries(SMBs)owing to its high theoretical specific capacity,low redox potential,and low cost.The practical applications of Na metal,however,have still been severely hindered by the uncontrolled sodium dendrites growth during Na deposition and stripping processes,which leads to low Coulombic efficiency and poor cycling stability.In this study,sub-nano zinc oxide(ZnO)uniformly dispersed in threedimensional(3D)porous nitrogen-doped(N-doped)carbon nanocube(ZnO@NC)was acquired as a stable host for dendrite-free Na metal anode.Benefiting from the in-situ electrochemically formed sodiophilic nucleation site(NaZn13 alloy)and the enriched pore structure,rapid and uniform sodium deposition behavior can be performed.As expected,the ZnO@NC electrode delivers impressive electrochemical performance,an ultra-high areal capacity of 20 mAh·cm−2 in the half-cell can be maintained for 2,000 h.In the symmetrical-cell,it can also exhibit up to 3,000 h at 3 mA·cm−2 and 3 mAh·cm−2 with low polarization potential.Furthermore,in the full-cell that matches with Prussian blue(PB)cathode,the Na@ZnO@NC anode performs the outstanding long-cycling and rate performance.Therefore,this work provides an effective strategy to inhibit the growth of Na dendrites for the development of high-safety and long-cycling SMBs. | Yijuan Li Pan Xu Hongbin Ni Jirong Mou Tangchao Xie Hong Xiao Hengji Zhu Quanfeng Dong Shaoming Huang | 2023 | Nano Research2023，16，1： | 0 |
| 9 | Chemical-element-distribution-mediated deformation partitioning and its control mechanical behavior in high-entropy alloys显示文摘The chemical element distributions always strongly affect the deformation mechanisms and mechanical properties of alloying materials.However,the detailed atomic origin still remains unknown in highentropy alloys(HEAs)with a stable random solid solution.Here,considering the effect of elemental fluctuation distribution,the deformation behavior and mechanical response of the widely-studied equimolar random Co Cr Fe Mn Ni HEA are investigated by atomic simulations combined with machine learning and micro-pillar compression experiments.The elemental anisotropy factor is proposed,and then used to evaluate the chemical element distribution.The experimental and simulation results show that the local variations of chemical compositions exist and play a critical role in the deformation partitioning and mechanical properties.The high strength and good plasticity of HEAs are obtained via tuning the chemical element distributions,and the optimal elemental anisotropy factor ranges from 2.9 to 3 using machine learning.This trend can be attributed to the cooperative mechanisms depending on the local variational composition:massive partial dislocation multiplication at an initial stage of plastic deformation,and the inhibition of localized shear banding via the nucleation of deformation twinning at a later stage.Using the new insights gained here,it would be possible to create new metallic alloys with superior properties through thermal-mechanical treatment to tailoring the chemical element distribution. | Jia Li Baobin Xie Quanfeng He Bin Liu Xin Zeng Peter KLiaw Qihong Fang Yong Yang Yong Liu | 2022 | Journal of Materials Science & Technology2022，，25： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员