An intelligent approach: Integrating ChatGPT for experiment planning in biochar immobilization of soil cadmium

被引：3

作者：

Yang, Hongwei ^{[1
]}

Wang, Jie ^{[4
]}

Mo, Rumeng ^{[1
]}

Hu, Pengxiang ^{[1
]}

Liu, Xiangrong ^{[1
,3
]}

Liu, Yingliang ^{[1
]}

Cui, Jianghu ^{[1
,2
]}

Xiao, Yong ^{[1
]}

机构：

[1] South China Agr Univ, Coll Mat & Energy, Guangdong Prov Engn Technol Res Ctr Opt Agr, Key Lab Biomass Mat & Energy,Minist Educ, Guangzhou 510642, Peoples R China

[2] Guangdong Acad Sci, Inst Ecoenvironm & Soil Sci, Natl Reg Joint Engn Res Ctr Soil Pollut Control &, Guangdong Key Lab Integrated Agroenvironm Pollut C, Guangzhou 510650, Peoples R China

[3] Hunan Tobacco Corp, Shaoyang Branch, Shaoyang 422000, Peoples R China

[4] Beijing Police Coll, Intelligent Connected Vehicle Traff Accid Invest &, Rd Traff Management Dept, Beijing 102202, Peoples R China

来源：

SEPARATION AND PURIFICATION TECHNOLOGY | 2025年 / 352卷

基金：

中国国家自然科学基金;

关键词：

Cadmium; Soil remediation; Biochar; Machine learning; Bayesian optimization; OpenAI; HEAVY-METALS; RICE STRAW; BIOAVAILABILITY; MOBILITY; CD;

D O I：

10.1016/j.seppur.2024.128170

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Immobilization of cadmium (Cd) in soil is a complex systematic process in which biochar materials and experimental conditions need to be selected from an infinite space of candidates. Exploration of the entire space is not feasible due to the large number of repeated experiments required. In this study, we propose a strategy for deeply integrating AI techniques to determine the biochar properties and experimental conditions for achieving maximum immobilisation rates under specific soil conditions. We developed six interpretable tree models, among which the LSBoost model performed best. In addition, we developed a Graphical User Interface (GUI) through which soil properties can be manually entered and Bayesian algorithms applied. This allowed us to inversely extrapolate the experimental conditions that achieved maximum carbon sequestration rates under these soil conditions. Then, we use these conditions to link with OpenAI and utilize ChatGPT to obtain detailed experiment plans, which are displayed on the GUI interface for researchers ' reference.

引用

页数：9

共 68 条

[1] Effect of biochar on cadmium bioavailability and uptake in wheat (Triticum aestivum L.) grown in a soil with aged contamination [J].