通讯机构：
[Li-Jun Wu] C;College of Sciences, Central South University of Forestry and Technology, Changsha 410004, China
摘要：
A novel multicomponent sulfonylation of alkenes is described for the assembly of various beta-substituted arylsulfones using cheap and easily available K2S2O5 as a sulfur dioxide source. Of note, the procedure does not need any extra oxidants and metal catalysts and exhibits a relatively wide substrate scope and good functional group compatibility. Mechanistically, an initial arylsulfonyl radical is formed involving the insertion of sulfur dioxide with aryl diazonium salt, followed by alkoxyarylsulfonylation or hydroxysulfonylation of alkenes.
关键词：
Protein tyrosine phosphatase 1B;Photoelectrochemistry;Colorimetry;Dual -mode;Vinyl-functionalized covalent organic;framework
摘要：
The sensitive and precise assay of protein tyrosine phosphatase 1B (PTP1B) activity plays a considerable role in clinical diagnosis and cancer therapy. Herein, a photoelectrochemical (PEC)-colorimetric (CL) dual-mode biosensor based on magnetic Fe3O4 nanospheres and vinyl-functionalized covalent organic framework (COFV) with photoelectric property and light-responsive oxidase-mimetic activity was developed for PTP1B activity assay. Fe3O4 nanospheres modified with polydopamine (PDA) and chelated Ti4+ (Fe3O4@PDA-Ti4+) were synthesized by the self-polymerization of dopamine and the chelation reaction between hydroxyl groups in the PDA shell and Ti4+. Subsequently, the PTP1B-specific peptide (P-peptide) was modified on the surface of Fe3O4@PDATi4+ nanosphere via the formation of Ti-O-P bonds between Ti4+ and phosphate group on the P-peptide. Before PTP1B activity assay, COF-V was introduced to the Fe3O4@PDA-Ti4+/P-peptide complex by thiol-ene click reaction of the vinyl group on COF-V with the thiol group of P-peptide, and the Fe3O4@PDA-Ti4+/P-peptide/COF-V complex was obtained. With addition of PTP1B, it can specifically identify and dephosphorylate the P-peptide, resulting in the release of some P-peptide and COF-V from the Fe3O4@PDA-Ti4+/P-peptide/COF-V complex. Then, the undamaged Fe3O4@PDA-Ti4+/P-peptide/COF-V complex was obtained by magnetic separation and used for PEC and CL analysis. Based on the excellent photoelectric property and light-responsive oxidase-mimetic activity of COF-V, PTP1B activity was sensitively assayed, and the linear ranges of 0.01 ng mL- 1-1000 ng mL-1 (detection limit, 0.006 ng mL-1) for PEC technique and 0.1 ng mL- 1-1000 ng mL-1 (detection limit, 0.03 ng mL-1) for CL method were obtained. Such a design opens a new avenue to detect protein phosphatases activity in biomedical study, disease diagnosis, and cancer treatment.
摘要：
We propose a simple thin-layer structure based on epsilon-near-zero mode field enhancement to achieve optical bistability in the near-infrared band. The high transmittance provided by the thin-layer structure and the electric field energy limited in the ultra-thin epsilon-near-zero material means that the interaction between the input light and the epsilon-near-zero material can be greatly enhanced, creating favorable conditions for the realization of optical bistability in near-infrared band. The optical bistability hysteresis curve is closely related to the incident angle of light and the thickness of epsilon-near-zero material. This structure is relatively simple and easy to prepare, so we believe that this scheme will have a positive effect on the practicality of optical bistability devices in all-optical devices and networks.
作者机构：
[Chengyou Sun; Xinyan Li; Ping Wang; Qiuju Wu; Hao Cheng; Haoran Tian; Jian Zhu; Chongling Feng; Chao Huang] College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China;[Jinglin Yin] College of Science, Central South University of Forestry and Technology, Changsha 410004, China
通讯机构：
[Ping Wang; Chao Huang] C;College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
摘要：
Zirconium (Zr)-based nanomaterials have been considered efficient in removing phosphate (P) from effluent. Compared to rough-wrought Zr(OH)4, Zr-based nanoparticles perform efficient P removal when confined in nanospace. However, the effect of nanoconfinement on the evolution of the Zr–P structure in a long-term wastewater treatment process was unclear. Herein, commercial D201 was used as a host for nanohydrous zirconium oxide (HZrO) to investigate the development of Zr–P structures. The kinetics of HZrO@D201 and the structural evolution of Zr–P in a long-term wastewater treatment process (25 days) were characterized. The competitive effects of co-existing ions (HCO3–, SO42–, Cl–, and NO3–) on phosphate adsorption were investigated. X-ray diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, and scanning electron microscopy results illustrate the transformation from Zr–P inner-sphere complexes to zirconium phosphate nanoparticles in HZrO@D201. In short, the nanoconfinement helped HZrO@D201 to capture P quickly in P-containing wastewater treatment and induced the self-desorption behavior of HZrO@D201 in the long-term treatment process. This study provides a new perspective on the dephosphorization by zirconium-based nanomaterials and a scientific basis for applying the nanomaterials for phosphate resource mitigation and recovery from the environment.
摘要：
Green and low-cost biomass-based porous carbon adsorbents have a good prospect for the removal of some environmental pollutants. Here, sodium lignosulphonate, chitosan, and activator were firstly combined into wet gel microbeads through in situ self-assembly method, and then derived the novel porous carbon adsorption materials (LC-Cs) by freeze-drying and one-step activation carbonization. The results showed that LC-Cs had large specific surface areas (892.4∼1307.8 m2/g), high microporosity (87.4∼89.2%), and rich nitrogen content (3.01∼4.92%), and these structural parameters showed good linear dependence with the dosage ratio of lignin to chitosan. Next, LC-Cs carbon showed efficient CO2 capture (173.9–215.2 mg/g) and high CO2/N2 selectivity (up to IAST:145.9, Henry’s law: 23.5), specially, the relationships between the CO2 capture and the structural parameters were investigated in detail, and also performed DFT calculation. In addition, LC-C22 had the maximum adsorption capacity of p-nitrophenol (PNP) as 592.8 mg/g, and the adsorption isotherms and kinetic study indicated that they belonged to the multilayer adsorption on the heterogeneous surfaces, and the chemical adsorption played the dominated roles, and then further studied the adsorption mechanism by characterization techniques. This work provided a green and facile strategy for preparing structurally controllable N-doped porous carbon materials, as well as offered good potential adsorbents for PNP removal and CO2 capture.
通讯机构：
[Qiu, XY; Guo, X ; Li, XJ ] C;Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.;Cent South Univ Forestry & Technol, Coll Mat Sci & Engn, Changsha 410004, Peoples R China.
关键词：
Wood;Adsorption;Tetracycline
摘要：
The antibiotic contamination in water is a growing environmental concern, which prompts the need for an efficient and nontoxic adsorbent to eliminate antibiotics from water. Tetracycline (TC) is a widely used antibiotic owing to its low cost and high effectiveness, which adds to significant environmental impact. In this paper, we present a novel non-cytotoxic fluorescent wood (NCFW) with remarkable properties, including a high TC adsorption capacity (up to 99.17 mg/g), good selectivity and sensitivity for TC detection, favorable fluorescence (absolute quantum yield of 3.9%), and noncytotoxicity (cell viability of more than 90%). Our results revealed the unique structure of the NCFW as a framework for improving the adsorption capacity, whereas the fluorescent probes can act as effective sensors for detecting TC. These findings indicate that the NCFW has the potential to be a promising adsorbent for removing TC from wastewater.
期刊：
International Journal of Biological Macromolecules,2023年233:123566 ISSN：0141-8130
通讯作者：
Xin Guo<&wdkj&>Yiqiang Wu
作者机构：
[Peng, Junwen; Zhang, Xuefeng; Guo, Xin; Qi, Xinmiao] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.;[Huang, Yong] Nanjing Forestry Univ, Coll Mat Sci & Engn, Joint Int Res Lab Biomass Energy & Mat, Nanjing 210037, Peoples R China.;[Qiao, Jianzheng; Wu, Yiqiang] Cent South Univ Forestry & Technol, Coll Mat Sci & Engn, Changsha 410004, Peoples R China.;[Guo, Yucong] Chinese Acad Sci, CAS Res Educ Ctr Excellence Mol Sci, State Key Lab Struct Chem Unstable & Stable Specie, Beijing Natl Lab Mol Sci BNLMS,Inst Chem, Beijing 100190, Peoples R China.
通讯机构：
[Xin Guo; Yiqiang Wu] C;College of Science, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>College of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
关键词：
Carbon dots;Hydrogel;Nanocellulose
摘要：
A novel nanocellulose/carbon dots hydrogel (NCH) was fabricated using cellulose nanofibrils (CN), carbon dots (CD) and zinc oxide (ZnO)/silver bromide (AgBr) nanocomposite, where CD enhanced amino group-induced adsorption of hexavalent chromium (Cr(VI)) and promoted the photocatalytic properties of ZnO/AgBr nanocomposite via the transfer of photogenerated electrons, resulting in enhanced efficiency in the removal of Cr(VI) from aqueous solution. The structure, morphology, and physicochemical properties of the prepared NCH were characterized, with the results of adsorption and photocatalysis experiments showing the maximum theoretical adsorption capacity of the NCH to be 315mg/g, 219 times that of the ZnO/AgBr nanocomposite; the apparent removal rate constant of the NCH was 0.0319min(-1), 11.7 times that of the ZnO/AgBr nanocomposite. Furthermore, the removal performance of NCH was attributed to CD-enhanced synergistic adsorption and photocatalysis effects, supported by characterization and experimental results. This work provides insight into the design and fabrication of a novel adsorptive photocatalyst with CD-enhanced synergistic adsorption and photocatalysis effects for removing Cr(VI) from aqueous solution.
作者机构：
[Wan, Qifeng] Cent South Univ Forestry & Technol, Business Sch, Changsha, Peoples R China.;[Xu, Xuanhua] Cent South Univ, Business Sch, Changsha, Peoples R China.;[Han, Jing] Cent South Univ Forestry & Technol, Coll Sci, Changsha, Peoples R China.;[Xu, Xuanhua; Xu, XH] 932 Lushan South Rd, Changsha 410083, Hunan, Peoples R China.
通讯机构：
[Xu, XH ] 9;932 Lushan South Rd, Changsha 410083, Hunan, Peoples R China.
关键词：
Dimensionality reduction method;TF-IDF;Information loss entropy;Natural language;Large-scale group decision-making
摘要：
We introduce an innovative approach for dimensionality reduction targeting linguistic preferences in large-scale group decision-making scenarios. This method combines TF-IDF feature similarity and information loss entropy to address the challenges of decision-making over large-scale decision makers. Firstly, text vectorization is performed to capture the semantics of the text as a TF-IDF feature matrix, which facilitates subsequent calculations. Secondly, a cluster process integrating the TF-IDF feature similarity is operated to divide the large-scale decision-maker group into several clusters. Thirdly, the selection process is activated to select representatives from among the large-scale decision-makers based on information loss entropy. Finally, a case study was conducted to test the practical feasibility of the proposed method, along with a comparative analysis to discuss the scenarios in which it is applicable.
作者机构：
[Zhou, Cui; Zhou, C; Zhang, Gui; Ouyang, Zidu] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410001, Peoples R China.;[Xie, Jian] Hunan Univ Sci & Technol, Sch Earth Sci & Spatial Informat Engn, Xiangtan 411201, Peoples R China.;[Zhu, Jianjun] Cent South Univ, Sch Geosci & Info Phys, Changsha 410083, Peoples R China.;[Ao, Minsi] Hunan Engn & Res Ctr Nat Resource Invest & Monitor, Changsha 410007, Peoples R China.
通讯机构：
[Zhou, C ] C;Cent South Univ Forestry & Technol, Coll Sci, Changsha 410001, Peoples R China.
关键词：
digital elevation model;SRTM DEM;ICESat-2;machine learning
摘要：
The Shuttle Radar Topographic Mission (SRTM) digital elevation model (DEM) is a widely utilized product for geological, climatic, oceanic, and ecological applications. However, the accuracy of the SRTM DEM is constrained by topography and vegetation. Using machine learning models to correct SRTM DEM with high-accuracy reference elevation observations has been proven to be useful. However, most of the reference observation-aided approaches rely on either parametric or non-parametric regression (e.g., a single machine learning model), which may lead to overfitting or underfitting and limit improvements in the accuracy of SRTM DEM products. In this study, we presented an algorithm for correcting SRTM DEM using a stacking ensemble machine learning algorithm. The proposed algorithm is capable of learning how to optimally combine the predictions from multiple well-performing machine learning models, resulting in superior performance compared to any individual model within the ensemble. The proposed approach was tested under varying relief and vegetation conditions in Hunan Province, China. The results indicate that the accuracy of the SRTM DEM productions improved by approximately 46% using the presented algorithm with respect to the original SRTM DEM. In comparison to two conventional algorithms, namely linear regression and artificial neural network models, the presented algorithm demonstrated a reduction in root-mean-square errors of SRTM DEM by 28% and 12%, respectively. The approach provides a more robust tool for correcting SRTM DEM or other similar DEM products over a wide area.
期刊：
Journal of Applied Physics,2023年133(20):203102 ISSN：0021-8979
通讯作者：
Li, JB
作者机构：
[Chen, Liqun; Li, Jianbo; Zhao, Wenhao; Guo, Qingqing; Long, Linwen; Peng, Yuxiang; He, Mengdong] Cent South Univ Forestry & Technol, Inst Math & Phys, Changsha 410004, Peoples R China.;[Chen, Liqun; Li, Jianbo; Zhao, Wenhao; Guo, Qingqing; Long, Linwen; Peng, Yuxiang; He, Mengdong] Cent South Univ Forestry & Technol, Hunan Prov Key Lab Mat Surface & Interface Sci & T, Changsha 410004, Peoples R China.;[Xiao, Si] Cent South Univ, Sch Phys & Elect, Hunan Key Lab Supermicrostructure & Ultrafast Proc, Changsha 410083, Peoples R China.;[Liang, Shan] Hunan Normal Univ, Dept Phys, Changsha 410081, Peoples R China.
通讯机构：
[Li, JB ] C;Cent South Univ Forestry & Technol, Inst Math & Phys, Changsha 410004, Peoples R China.;Cent South Univ Forestry & Technol, Hunan Prov Key Lab Mat Surface & Interface Sci & T, Changsha 410004, Peoples R China.
摘要：
We theoretically study the optical bistability assisted by multipole polarizations in a semiconductor quantum dot (SQD)/metal nanoparticle (MNP) hybrid molecule. We map out bistability phase diagrams within the parameter subspace spanned by (the pumping intensity I-pu, interparticle distance, d) under dipole and multipole approximations. It is shown that the I-pu-correlated bistable region will be broadened greatly in the strong exciton-plasmon coupling regime, and the corresponding lower (upper) bistable threshold is enlarged significantly due to multipole polarization (N = 10) in comparison to that in the dipole approximation (N = 1). However, under the same conditions, the d-correlated bistable region is shrunk at high pump intensities. Our contribution not only offers a better understanding of exciton-plasmon coupling systems but also expands the application of SQD/MNP hybrid molecules in the field of optical bistable nanodevices.
摘要：
El Ni & ntilde;o/La Ni & ntilde;a events significantly impact human society, often resulting in considerable monetary losses. Accurate prediction has become crucial with triple La Nina events in this century. This study applied TimesNet to El Nino/La Nina event prediction for the first time. We proposed a hybrid prediction method based on extracting features from time series data and initially decomposing the time series data (Nino3.4) into several Intrinsic Mode Functions (IMFs) using the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). Based on the characteristics of each IMF, we used a hybrid method of TimesNet and ARIMA to make adaptive forecasts for them. We selected monthly data from 1950 to 2022, with the first 63 years used for training and shifted 12 periods (12 months) ahead to forecast the Nino3.4 index values for the next ten years. The experimental results of this study show that: 1) The pre-processing method using CEEMDAN can effectively extract the original time series data features and significantly improve the prediction performance; 2) proposed approach achieved good performance in predicting El Nino/La Nina events, particularly during the transition from El Nino to La Nina events (e.g., 2016, 2019-2020); 3) evaluation results indicate that the proposed model exhibits better predictive power (stability and accuracy of prediction results) than the current best single-order predictor, the ConvLSTM model, on the validation set of the last ten years.
摘要：
The widespread utilization of bamboo in the field of building and construction has sparked growing interests in conducting research on fire performance of bamboo. This study investigated fire performance of bamboo treated with flame retardants that possess water-soluble and environmental friendly characteristics. The synergistic effect of APP and P-N-B complexed flame retardant on flame resistance were evaluated, while absorption capacity and moisture absorption rate were also evaluated in relation to impregnation duration and solution concentration. The results indicated that absorption capacity increased with impregnation duration and solution concentration. It was observed solution concentration had a significant impact on moisture absorption for both APP and P-N-B complexed series. The ideal impregnation duration and solution concentration were found to be 6 h and 30%, respectively. Both APP and P-N-B complexed series significantly improved the fire performance of bamboo, but the latter exhibited a superior effect due to its synergistic combination of P, N and B. The FPIs of APP and P-N-B complexed series increased by factors of 2.4 and 4.1 compared to the untreated one. Both facilitated the formation of stable char layers and exerted their influence in gaseous phase through release of non-combustible gas for fuel dilution and free radicals mitigation.
通讯机构：
[Zhou, C ] C;Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.
关键词：
digital elevation model;SRTM DEM;ICESat-2;forest;PSO-DBN
摘要：
The Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) is extensively utilized in various fields, such as forestry, oceanography, geology, and hydrology. However, due to limitations in radar side-view imaging, the SRTM DEM still contains gaps and anomalies, particularly in areas with an intricate topography, like forests. To enhance the accuracy of the SRTM DEM in forested regions, commonly employed approaches include regression analysis and artificial neural networks (ANN). Nevertheless, existing regression methods struggle to accurately capture the intricate nonlinear relationship between the error and influencing factors. Additionally, traditional ANN models are susceptible to overfitting, resulting in subpar accuracy. Deep Belief Network (DBN) is a highly precise algorithm in deep learning. However, the intricate combination of hyperparameters often leads to limited generalization ability and model robustness when correcting DEM. The present study proposes an error prediction model based on the DBN optimized by Particle Swarm Optimization (PSO) for SRTM DEM correction. By utilizing the PSO algorithm, we aim to identify the optimal combination of hyperparameters of DBN, including the number of neurons in the hidden layer and the learning rates. The experiment focuses on two regions in Hunan Province, China, characterized by abundant vegetation cover. The reference data utilized for comparison is ICESat/GLAS data. The experimental results demonstrate that the mean error (ME) and root mean square error (RMSE) of the SRTM DEM corrected by the proposed algorithm in these two regions are significantly reduced by 93.5%-96.0% and 21.5%-23.5%, respectively. Moreover, there is an improvement of over 26.1% in accuracy within complex terrain areas. Specifically, in broadleaf forest, the PSO-DBN method exhibits a remarkable accuracy improvement of 26.2%, while the DBN-corrected SRTM DEM shows an improvement of 15.3%. In coniferous forest, the PSO-DBN method achieves an accuracy improvement of 14.8%, whereas the DBN-corrected SRTM DEM demonstrates a gain of 5.8%. The approach provides a more effective and robust tool for correcting SRTM DEM or other similar DEMs over vegetated mountain areas.
摘要：
Motivated by the recent experiment on bosonic mixtures of atoms and molecules, we investigate pairing superfluid-insulator (SI) transition for bosonic mixtures of atoms and molecules in a one-dimensional optical lattice, which is described by an extended Bose-Hubbard model with atom-molecule conservation (AMC). It is found that AMC can induce an extra pair-superfluid phase though the system does not demonstrate pair-hopping. In particular, the system may undergo several pairing SI or insulator-superfluid transitions as the detuning from the Feshbach resonance is varied from negative to positive, and the larger positive detuning can bifurcate the pair-superfluid phases into mixed superfluid phases consisting of single-atomic and pair-atomic superfluid. The calculation of the second-order Renyi entropy reveals that the discontinuity in its first-order derivative corresponds to the phase boundary of the pairing SI transition. This means that the residual entanglement in our mean-field treatment can be used to efficiently capture the signature of the pairing SI transition induced by AMC.
摘要：
Surgical treatment is the most effective treatment for renal cancer. It is urgent to develop highly selective and sensitive analytical methods for specially lighting up the kidney tumor, so as to achieve accurate imaging-guided surgical resection of cancer tissue. However, the main challenge in real-time and in situ fluorescence imaging of kidney tumor rest with the design of fluorescent probes that not only show renal metabolic pathway to enrich in the kidney cancer cells but also have high activatable signal towards kidney tumor-associated biomarkers. Since aminopeptidase N (APN) acted as a kidney cancer-specific biomarker, herein, a low MW PEGylation and APN-activatable fluorescent probe (HDAPN-PEG) was constructed for in situ near infrared fluorescence (NIRF) visualizing the orthotopic kidney cancer in living mice. HDAPN-PEG was specially activated by APN with good sensitivity and selectivity. HDAPN-PEG dramatically turned on its NIRF signal in kidney cancer cells but kept silent in kidney normal cells. Because of the high renal enrichment and its cancer biomarker specificity, HDAPN-PEG can light up the kidney cancer for in situ imaging of kidney cancer in living mice. This work thus recommends an activable molecular probe that not only promotes mechanistic investigation on the roles of APN in kidney cancer, but also facilitates in situ detection kidney cancer and fluorescence imaging guided nephron sparing surgery.
摘要：
Spin-momentum coupling, which depends strongly on the relativistic effect of heavy elements in solids, is the basis of many phenomena in spintronics. In this Letter, we theoretically predict nonrelativistic spin-momentum coupling in two-dimensional materials. By proposing magnetic symmetry requirements for spin splitting in two-dimensional systems, we find that a simple twisting operation can realize nonrelativistic spin splitting in antiferromagnetic bilayers. Through first-principles calculations, we demonstrate that momentum-dependent spin splitting exists extensively in antiferromagnetic twisted bilayers with different crystal structures and twist angles. The size of the spin splitting caused by twisting is of the same order of magnitude as that arising from spin-orbit coupling. In particular, a transverse spin current with an extremely high charge-spin conversion ratio can be generated in twisted structures under an external electric field. The findings demonstrate the potential for achieving electrically controlled magnetism in materials without spin-orbit coupling.
通讯机构：
[Wang, D ] C;[Wang, Y ] H;Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.;Hunan Univ Sci & Technol, Sch Informat & Elect Engn, Xiangtan 411201, Peoples R China.
摘要：
The design of alternative platinum-based electrode materials is very important for oxygen reduction reactions (ORRs) in fuel cells. A comparative study of a series of non-metal doped Fe–C2N electrodes on the oxygen reduction reaction was carried out by first-principles calculations. The results showed that the introduction of non-metal atoms had a variety of synergistic effects on regulating the charge redistribution of Fe active sites. Among these new electrode materials, FeC–C2N showed the most prominent ORR performance, effectively reducing the reaction overpotential in the acidic electrolyte.
作者机构：
[Zhang, Qingzhou; Fan, Dawei; Liu, Linghong] Cent South Univ Forestry & Technol, Hunan Prov Key Lab Mat Surface & Interface Sci & T, Changsha 410004, Peoples R China.;[Zhang, Qingzhou; Fan, Dawei; He, Mengdong; Liu, Linghong] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Peoples R China.;[Fan, Touwen] Hunan Inst Technol, Coll Sci, Hengyang 421002, Peoples R China.
通讯机构：
[Linghong Liu] H;Hunan Province Key Laboratory of Materials Surface and Interface Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>College of Science, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
The anti-alias model is an effective method to calculate the generalized stacking fault energy of the hexagonal close-packed crystals, but it has not been applied to the face-centered cubic crystals due to two different stacking faults occurring in the supercell during the sliding process. Based on the symmetry of these two stacking faults and the existing single analytic formula of the generalized stacking fault energy, we successfully extend the anti-alias model to compute the generalized stacking fault energy of face-centered cubic crystals, and the common fcc metals Al, Ni, Ag and Cu are taken as specific examples to illustrate the computational details. Finally, the validity of the proposed model is verified by data comparison and analysis. It is suggested that the anti-alias model is a good choice for the researchers to obtain more accurate generalized stacking fault energy of face-centered cubic metals.
