AI for Molecules: Transformers in Molecular Design
Автор: Deep dive knowledge talk
Загружено: 2024-09-04
Просмотров: 130
Описание: Transformer-based models are used in molecular design to generate new molecules with desired properties. These models, implemented in PyTorch, offer customization and optimization for specific challenges in molecular chemistry. They rely on the quality and comprehensiveness of training data but face challenges in generating complex molecular structures and accurately representing stereochemistry. Despite these limitations, transformer models hold significant promise in drug discovery and materials science by facilitating the generation and refinement of potential drug candidates and materials with specific properties. Their potential impact in these fields is expected to grow as data quality improves and models become more advanced.
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
