Accelerated Discovery

Accelerated discovery leverages computational power and machine learning to drastically reduce the time and resources needed for scientific breakthroughs. Current research focuses on developing efficient algorithms and frameworks, such as those based on advanced AI models (e.g., AlphaFold2) and coarse-grained operators, to analyze large datasets and predict properties across diverse fields, including materials science and biophysics. This approach significantly impacts scientific progress by enabling faster exploration of vast chemical and material spaces, leading to more rapid development of novel materials and drugs, and facilitating more efficient and sustainable industrial processes.