{"id":63430,"date":"2025-11-17T15:15:49","date_gmt":"2025-11-17T23:15:49","guid":{"rendered":"https:\/\/silvaco.com\/%eb%b6%84%eb%a5%98%eb%90%98%ec%a7%80-%ec%95%8a%ec%9d%8c\/simulation-standard-accelerating-vertical-gan-power-technology-development-with-physics-based-digital-twins-for-800v-dc-ai-factory-power-infrastructure\/"},"modified":"2025-12-01T18:30:20","modified_gmt":"2025-12-02T02:30:20","slug":"simulation-standard-accelerating-vertical-gan-power-technology-development-with-physics-based-digital-twins-for-800v-dc-ai-factory-power-infrastructure","status":"publish","type":"post","link":"https:\/\/silvaco.com\/ko\/simulation-standard\/accelerating-vertical-gan-power-technology-development-with-physics-based-digital-twins-for-800v-dc-ai-factory-power-infrastructure\/","title":{"rendered":"Accelerating Vertical GaN Power Technology Development with Physics-based Digital Twins for 800V DC AI Factory Power Infrastructure"},"content":{"rendered":"
\n

Accelerating Vertical GaN Power Technology Development with physics-based Digital Twins for 800V DC AI Factory Power Infrastructure <\/b><\/h1>\n

Abstract<\/b><\/p>\n

\"\"The emergence of next-generation AI factories is driving a paradigm shift in power delivery requirements. 800V architectures are rapidly becoming the standard for high-density, high-efficiency computing clusters, which is driving interest in Vertical Gallium Nitride (GaN) technology.<\/p>\n

By integrating Victory Process and Victory Device simulation with machine learning optimization, engineers can more quickly identify ideal device structures and process parameters, accelerating the development of high-performance vertical GaN devices. This combination enables rapid exploration of complex design spaces, resulting in devices that meet stringent performance targets for 800V power applications.<\/p>\n<\/div><\/section><\/div>

<\/div>