Solid-state potassium metal batteries have increasingly gained attention as promising alternatives in largescale energy storage due to their safety and low cost.However,these batteries usually suffer from a lack of su...Solid-state potassium metal batteries have increasingly gained attention as promising alternatives in largescale energy storage due to their safety and low cost.However,these batteries usually suffer from a lack of suitable K^(+)conducting solid electrolytes.Herein,a new KB_(11)H_(14)·2Me_(3)NBH_(3) complex electrolyte with high ionic conductivity and relative stability against K metal is reported.The crystal structure was solved as a monoclinic P2_(1)/c lattice.Density functional theory(DFT)calculations confirm significantly enhanced K-ion diffusion in the structure.High K-ion conductivities of 2.63×10^(-6) S cm^(-1) at 25℃ and 3.25×10^(-4) S cm^(-1) at 75℃ are achieved,putting it among the leading K^(+)solid conductors.Moreover,it shows favorable interfacial stability against the K metal anode precoated with NH_(3)B_(3)H_(7).Batteries coupling the TiS_(2) cathode deliver long-term cycling stability.This work provides a new group of K-ion solid-state electrolytes for safe potassium metal batteries.展开更多
The occurrence of lightning-induced forest fires during a time period is count data featuring over-dispersion （i.e., variance is larger than mean） and a high frequency of zero counts. In this study, we used six gene...The occurrence of lightning-induced forest fires during a time period is count data featuring over-dispersion （i.e., variance is larger than mean） and a high frequency of zero counts. In this study, we used six generalized linear models to examine the relationship between the occurrence of lightning-induced forest fires and meteorological factors in the Northern Daxing＇an Mountains of China. The six models included Poisson, negative binomial （NB）, zero- inflated Poisson （ZIP）, zero-inflated negative binomial （ZINB）, Poisson hurdle （PH）, and negative binomial hurdle （NBH） models. Goodness-of-fit was compared and tested among the six models using Akaike information criterion （AIC）, sum of squared errors, likelihood ratio test, and Vuong test. The predictive performance of the models was assessed and compared using independent validation data by the data-splitting method. Based on the model AIC, the ZINB model best fitted the fire occurrence data, followed by （in order of smaller AIC） NBH, ZIP, NB, PH, and Poisson models. The ZINB model was also best for pre- dicting either zero counts or positive counts （〉1）. The two Hurdle models （PH and NBH） were better than ZIP, Poisson, and NB models for predicting positive counts, but worse than these three models for predicting zero counts. Thus, the ZINB model was the first choice for modeling the occurrence of lightning-induced forest fires in this study, which implied that the excessive zero counts of lightning- induced fires came from both structure and sampling zeros.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.U18042532,U23A2078,22171246,92261203,and 22273053)。
文摘Solid-state potassium metal batteries have increasingly gained attention as promising alternatives in largescale energy storage due to their safety and low cost.However,these batteries usually suffer from a lack of suitable K^(+)conducting solid electrolytes.Herein,a new KB_(11)H_(14)·2Me_(3)NBH_(3) complex electrolyte with high ionic conductivity and relative stability against K metal is reported.The crystal structure was solved as a monoclinic P2_(1)/c lattice.Density functional theory(DFT)calculations confirm significantly enhanced K-ion diffusion in the structure.High K-ion conductivities of 2.63×10^(-6) S cm^(-1) at 25℃ and 3.25×10^(-4) S cm^(-1) at 75℃ are achieved,putting it among the leading K^(+)solid conductors.Moreover,it shows favorable interfacial stability against the K metal anode precoated with NH_(3)B_(3)H_(7).Batteries coupling the TiS_(2) cathode deliver long-term cycling stability.This work provides a new group of K-ion solid-state electrolytes for safe potassium metal batteries.
基金funded by Asia–Pacific Forests Net(APFNET/2010/FPF/001)National Natural Science Foundation of China(Grant No.31400552)
文摘The occurrence of lightning-induced forest fires during a time period is count data featuring over-dispersion （i.e., variance is larger than mean） and a high frequency of zero counts. In this study, we used six generalized linear models to examine the relationship between the occurrence of lightning-induced forest fires and meteorological factors in the Northern Daxing＇an Mountains of China. The six models included Poisson, negative binomial （NB）, zero- inflated Poisson （ZIP）, zero-inflated negative binomial （ZINB）, Poisson hurdle （PH）, and negative binomial hurdle （NBH） models. Goodness-of-fit was compared and tested among the six models using Akaike information criterion （AIC）, sum of squared errors, likelihood ratio test, and Vuong test. The predictive performance of the models was assessed and compared using independent validation data by the data-splitting method. Based on the model AIC, the ZINB model best fitted the fire occurrence data, followed by （in order of smaller AIC） NBH, ZIP, NB, PH, and Poisson models. The ZINB model was also best for pre- dicting either zero counts or positive counts （〉1）. The two Hurdle models （PH and NBH） were better than ZIP, Poisson, and NB models for predicting positive counts, but worse than these three models for predicting zero counts. Thus, the ZINB model was the first choice for modeling the occurrence of lightning-induced forest fires in this study, which implied that the excessive zero counts of lightning- induced fires came from both structure and sampling zeros.
