Dangi Deven B, Dangi Beni B, Steinbock Oliver
Department of Chemistry and Biochemistry, Florida State University, Tallahassee, Florida 32306-4390, United States.
Department of Chemistry, Florida Agricultural and Mechanical University, Tallahassee, Florida 32307, United States.
ACS Omega. 2025 May 2;10(18):18955-18959. doi: 10.1021/acsomega.5c01150. eCollection 2025 May 13.
When microliter drops of salt solutions dry on nonporous surfaces, they form erratic yet characteristic deposit patterns influenced by complex crystallization dynamics and fluid motion. Using OpenAI's image-enabled language models, we analyzed deposits from 12 salts with 200 images per salt and per model. GPT-4o classified 57% of the salts accurately, significantly outperforming random chance and GPT-4o mini. This study underscores the promise of general-use AI tools for reliably identifying salts from their drying patterns.
当微升盐溶液滴在无孔表面上干燥时，它们会形成受复杂结晶动力学和流体运动影响的不规则但具有特征性的沉积图案。我们使用OpenAI的图像语言模型，分析了12种盐的沉积物，每种盐和每个模型有200张图像。GPT-4o准确分类了57%的盐，显著优于随机猜测和GPT-4o mini。这项研究强调了通用人工智能工具从盐的干燥图案可靠识别盐的前景。
