Machine-Learning-Accelerated Surface Exploration of Reconstructed BiVO

• Tác giả: Taehun Lee, Yonghyuk Lee
• Ngôn ngữ: eng
• Ký hiệu phân loại: 972.8202 *Central America
• Thông tin xuất bản: United States : Journal of the American Chemical Society , 2025
• Bộ sưu tập: NCBI
• ID: 214358

Tóm tắt

Understanding the semiconductor-electrolyte interface in photoelectrochemical (PEC) systems is crucial for optimizing the stability and reactivity. Despite the challenges in establishing reliable surface structure models during PEC cycles, this study explores the complex surface reconstructions of BiVO