Physics Department, King's College London, Strand, WC2R 2LS, UK.
Phys Chem Chem Phys. 2019 Feb 27;21(9):4888-4898. doi: 10.1039/c8cp05720f.
Because size and shape can affect the chemo-physical properties of nanoparticles, we extend the use of geometrical descriptors to sequence a genome of monometallic nanoparticles. Selecting the generalised coordination number as a descriptor, the derived geometrical genome distinguishes, catalogues, and counts the variety of adsorption sites available on each isomer with a diameter up to 10 nm, therefore it depends on the nanoparticle size and shape. This procedure allows us to elucidate the effects of morphological diversity within a sample and those of thermally activated structural rearrangements among isomers on nanocatalyst activity. By screening the geometrical genome of archetypal shapes, we forecast Pt stellated twinned nanoparticles, elongated along their five-fold axis and with their shortest diameter of ∼2 nm, as optimal candidates for the electro-reduction of molecular oxygen at room temperature, in agreement with available experimental data.
由于尺寸和形状会影响纳米粒子的化学物理性质,我们将几何描述符的使用扩展到单金属纳米粒子的基因组序列中。选择广义配位数作为描述符,所得的几何基因组可以区分、分类和计数每个异构体上直径可达 10nm 的吸附位点的多样性,因此它取决于纳米粒子的尺寸和形状。该程序使我们能够阐明样品中形态多样性的影响以及异构体之间热激活结构重排的影响对纳米催化剂活性的影响。通过筛选典型形状的几何基因组,我们预测 Pt 星形孪晶纳米粒子沿其五重轴拉长,最短直径约为 2nm,是在室温下电还原分子氧的最佳候选物,这与现有实验数据一致。