Tuning catalyst reaction environments towards photoreforming of wastewater

调整催化剂反应环境以实现废水的光重整

• 批准号: DP240100687
• 负责人: Prof Zongyou Yin
• 金额: $ 35.82万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240100687
• 关键词: Tuning; catalyst; reaction; environments; towards

This project aims to combine high-throughput computation and machine learning to screen photocatalysts more thoroughly for photoreforming of wastewater. The reaction environments effects on surface active units will be tailored for COx-emission-free selective organic synthesis with hydrogen production from organic-contained wastewater at ambient conditions. The project expects to expand our knowledge on the fast, reliable screening strategies, and the relationship between electric field (or lattice strain) and reaction pathways. This project will develop a photoreforming system for selective co-production of organics and hydrogen from wastewater, benefiting sustainable technologies development for chemical synthesis and hydrogen economy.

该项目旨在将联合收割机高通量计算和机器学习相结合，以更彻底地筛选用于废水光重整的光催化剂。反应环境对表面活性单元的影响将被定制用于在环境条件下从含有机物的废水中进行无COx排放的选择性有机合成和制氢。该项目期望扩展我们对快速，可靠的筛选策略以及电场（或晶格应变）与反应途径之间关系的知识。该项目将开发一种光重整系统，用于从废水中选择性地联产有机物和氢气，有利于化学合成和氢经济的可持续技术开发。