gpt - 40和gpt - 40 - mini对干燥液滴成分分析的视觉能力评价

IF 4.3 3区化学 Q2 CHEMISTRY, MULTIDISCIPLINARY

ACS Omega Pub Date : 2025-05-02 DOI:10.1021/acsomega.5c0115010.1021/acsomega.5c01150

Deven B. Dangi, Beni B. Dangi* and Oliver Steinbock*,

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引用次数: 0

摘要

当微升盐溶液滴在无孔表面干燥时，它们会形成不规则但有特征的沉积模式，受复杂结晶动力学和流体运动的影响。使用OpenAI的图像语言模型，我们分析了12种盐的沉积物，每种盐和每个模型有200张图像。gpt - 40对57%的盐进行了准确分类，显著优于随机机会和gpt - 40 mini。这项研究强调了通用人工智能工具从其干燥模式中可靠地识别盐的前景。

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Evaluation of GPT-4o and GPT-4o-Mini’s Vision Capabilities for Compositional Analysis from Dried Solution Drops

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.

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来源期刊

ACS Omega Chemical Engineering-General Chemical Engineering

CiteScore

6.60

自引率

4.90%

发文量

3945

审稿时长

2.4 months

期刊介绍： ACS Omega is an open-access global publication for scientific articles that describe new findings in chemistry and interfacing areas of science, without any perceived evaluation of immediate impact.