# Utilizing machine learning for reactive material selection and width design in permeable reactive barrier (PRB)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/utilizing-machine-learning-for-reactive-material-selection-and-width-design-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yangmin Ren,Mingcan Cui,Yongyue Zhou,Shiyu Sun,Fengshi Guo,Junjun Ma,Zhengchang Han,Jooyoung Park,Younggyu Son,Jeehyeong Khim |
| Citations | 13 |
| DOI | 10.1016/j.watres.2023.121097 |
| Fields | Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4390603706 |
| PMID | 38218071 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Shiyu Sun](https://scholariq.org/researchers/shiyu-sun/)

## Paper primary topic

- [Environmental remediation with nanomaterials](https://scholariq.org/topics/environmental-remediation-with-nanomaterials/)

## Paper topics

- [Environmental remediation with nanomaterials](https://scholariq.org/topics/environmental-remediation-with-nanomaterials/)
- [Groundwater flow and contamination studies](https://scholariq.org/topics/groundwater-flow-and-contamination-studies/)
- [Arsenic contamination and mitigation](https://scholariq.org/topics/arsenic-contamination-and-mitigation/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.