https://tenor-john.github.io/Academicpage/tags/machine-learning/Machine LearningHugo Blox Builder (https://hugoblox.com)en-usSat, 20 Jan 2024 00:00:00 +0000https://tenor-john.github.io/Academicpage/media/icon_hu7729264130191091259.pnghttps://tenor-john.github.io/Academicpage/tags/machine-learning/https://tenor-john.github.io/Academicpage/project/pandas/Sat, 20 Jan 2024 00:00:00 +0000https://tenor-john.github.io/Academicpage/project/pandas/<p>基于机器学习和高通量计算设计新型光催化水分解催化剂。</p> <p>Design of novel photocatalytic water splitting catalysts based on machine learning and high-throughput calculations.</p> <h2 id="项目目标--project-goals">项目目标 | Project Goals</h2> <p>开发高效稳定的光催化剂用于太阳能制氢，为清洁能源技术提供理论支撑。</p> <p>Develop efficient and stable photocatalysts for solar hydrogen production, providing theoretical support for clean energy technologies.</p> <h2 id="研究内容--research-content">研究内容 | Research Content</h2> <ul> <li>光催化剂带隙和能带位置优化</li> <li>载流子分离效率提升策略</li> <li>催化剂稳定性机理研究</li> <li>机器学习辅助材料筛选</li> </ul> <h2 id="研究方法--methods">研究方法 | Methods</h2> <ul> <li>第一性原理计算</li> <li>机器学习算法</li> <li>高通量材料筛选</li> <li>实验验证</li> </ul>