Rational design of oxygen evolution reaction(OER)catalysts at low cost would greatly benefit the economy.Taking advantage of earth-abundant elements Si,Co and Ni,we produce a unique-structure where cobalt-nickel silic...Rational design of oxygen evolution reaction(OER)catalysts at low cost would greatly benefit the economy.Taking advantage of earth-abundant elements Si,Co and Ni,we produce a unique-structure where cobalt-nickel silicate hydroxide[Co_(2.5)Ni_(0.5)Si_(2)O_(5)(OH)_(4)]is vertically grown on a reduced graphene oxide(rGO)support(CNS@rGO).This is developed as a low-cost and prospective OER catalyst.Compared to cobalt or nickel silicate hydroxide@rGO(CS@rGO and NS@rGO,respectively)nanoarrays,the bimetal CNS@rGO nanoarray exhibits impressive OER performance with an overpotential of 307 mV@10 mA cm^(-2).This value is higher than that of CS@rGO and NS@rGO.The CNS@rGO nanoarray has an overpotential of 446 mV@100 mA cm^(-2),about 1.4 times that of the commercial RuO_(2)electrocatalyst.The achieved OER activity is superior to the state-of-the-art metal oxides/hydroxides and their derivatives.The vertically grown nanostructure and optimized metal-support electronic interactions play an indispensable role for OER performance improvement,including a fast electron transfer pathway,short proton/electron diffusion distance,more active metal centers,as well as optimized dualatomic electron density.Taking advantage of interlay chemical regulation and the in-situ growth method,the advanced-structural CNS@rGO nanoarrays provide a new horizon to the rational and flexible design of efficient and promising OER electrocatalysts.展开更多
Dear Editor,Sources of genetic variations in genomes include small-scale sources(such as single-nucleotide polymorphisms(SNPs),insertions/deletions(InDels),and simple sequence repeats and larger-scale structural varia...Dear Editor,Sources of genetic variations in genomes include small-scale sources(such as single-nucleotide polymorphisms(SNPs),insertions/deletions(InDels),and simple sequence repeats and larger-scale structural variations(mainly presence-absence variants(PAVs))and copy number variants).PAVs are sequences that are either inserted or missing in genomes in comparison with a reference sequence or genome.PAVs can have a much longer sequence than SNPs and InDels,as illustrated in the human genome(Conrad et al.,2010).PAVs are important genomic structural variations that can directly affect genomic structure and key functional genes in the genome(Kumar et al.,2007).Moreover,the use of PAVs for studying quantitative traits has been valuable(Lam et al.,2010).展开更多
基金supported by the Fundamental Research Funds for the Central Universities(DUT21LK34)Natural Science Foundation of Liaoning Province(2020-MS-113).
文摘Rational design of oxygen evolution reaction(OER)catalysts at low cost would greatly benefit the economy.Taking advantage of earth-abundant elements Si,Co and Ni,we produce a unique-structure where cobalt-nickel silicate hydroxide[Co_(2.5)Ni_(0.5)Si_(2)O_(5)(OH)_(4)]is vertically grown on a reduced graphene oxide(rGO)support(CNS@rGO).This is developed as a low-cost and prospective OER catalyst.Compared to cobalt or nickel silicate hydroxide@rGO(CS@rGO and NS@rGO,respectively)nanoarrays,the bimetal CNS@rGO nanoarray exhibits impressive OER performance with an overpotential of 307 mV@10 mA cm^(-2).This value is higher than that of CS@rGO and NS@rGO.The CNS@rGO nanoarray has an overpotential of 446 mV@100 mA cm^(-2),about 1.4 times that of the commercial RuO_(2)electrocatalyst.The achieved OER activity is superior to the state-of-the-art metal oxides/hydroxides and their derivatives.The vertically grown nanostructure and optimized metal-support electronic interactions play an indispensable role for OER performance improvement,including a fast electron transfer pathway,short proton/electron diffusion distance,more active metal centers,as well as optimized dualatomic electron density.Taking advantage of interlay chemical regulation and the in-situ growth method,the advanced-structural CNS@rGO nanoarrays provide a new horizon to the rational and flexible design of efficient and promising OER electrocatalysts.
基金Supported by the National Key Research and Development Program of China (2016YFD0100300)the National Natural Science Foundation of China (31600223)+4 种基金the Natural Science Basic Research Plan in Shaanxi Province (2019JQ-062)the Shaanxi Youth Entrusted Talents Program (20190205)the Shaanxi Postdoctoral Project (2018BSHYDZZ76)the National Natural Science Foundation of China (31872175)and the State Key Laboratory of Cotton Biology Open Fund (CB2018A07, CB2019A03, and 2019A09).
文摘Dear Editor,Sources of genetic variations in genomes include small-scale sources(such as single-nucleotide polymorphisms(SNPs),insertions/deletions(InDels),and simple sequence repeats and larger-scale structural variations(mainly presence-absence variants(PAVs))and copy number variants).PAVs are sequences that are either inserted or missing in genomes in comparison with a reference sequence or genome.PAVs can have a much longer sequence than SNPs and InDels,as illustrated in the human genome(Conrad et al.,2010).PAVs are important genomic structural variations that can directly affect genomic structure and key functional genes in the genome(Kumar et al.,2007).Moreover,the use of PAVs for studying quantitative traits has been valuable(Lam et al.,2010).