Batista Bruno C, Tekle Semhare D, Yan Jie, Dangi Beni B, Steinbock Oliver
Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306-4390.
Department of Computer Science, Bowie State University, Bowie, MD 20715.
Proc Natl Acad Sci U S A. 2024 Jul 2;121(27):e2405963121. doi: 10.1073/pnas.2405963121. Epub 2024 Jun 26.
Under nonequilibrium conditions, inorganic systems can produce a wealth of life-like shapes and patterns which, compared to well-formed crystalline materials, remain widely unexplored. A seemingly simple example is the formation of salt deposits during the evaporation of sessile droplets. These evaporites show great variations in their specific patterns including single rings, creep, small crystals, fractals, and featureless disks. We have explored the patterns of 42 different salts at otherwise constant conditions. Based on 7,500 images, we show that distinct pattern families can be identified and that some salts (e.g., NaSO and NHNO) are bifurcated creating two distinct motifs. Family affiliations cannot be predicted a priori from composition alone but rather emerge from the complex interplay of evaporation, crystallization, thermodynamics, capillarity, and fluid flow. Nonetheless, chemical composition can be predicted from the deposit pattern with surprisingly high accuracy even if the set of reference images is small. These findings suggest possible applications including smartphone-based analyses and lightweight tools for space missions.
在非平衡条件下,无机系统能够产生大量类似生命的形状和图案,与结构良好的晶体材料相比,这些形状和图案仍未得到广泛探索。一个看似简单的例子是在静止液滴蒸发过程中形成盐沉积物。这些蒸发盐在其特定图案上表现出很大的差异,包括单环、蠕变、小晶体、分形和无特征圆盘。我们在其他条件不变的情况下探索了42种不同盐的图案。基于7500张图像,我们表明可以识别出不同的图案家族,并且一些盐(例如NaSO和NHNO)会出现分支,产生两种不同的图案。家族归属不能仅从成分先验预测,而是由蒸发、结晶、热力学、毛细作用和流体流动的复杂相互作用产生。尽管如此,即使参考图像集很小,也能以惊人的高精度从沉积物图案预测化学成分。这些发现表明了可能的应用,包括基于智能手机的分析和用于太空任务的轻型工具。