Accelerating discovery with AI-driven compound management
Studies indicate AI-enabled compound management systems can streamline workflows, reduce manual errors, and provide better visibility into experimental and predicted...
Accelerating
Accelerating Discovery: How the Materials Project Is Helping to Usher in the AI Revolution for Materials Science
The Materials Project platform uses high-throughput computational modeling at the National Energy Research Scientific Computing Center (NERSC) to screen large...
Accelerating materials design with high-throughput experiments and data science
Advances in machine learning and computational modeling have revolutionized materials design by enabling researchers to predict, optimize, and discover advanced...
Accelerating chemical discovery through high-throughput experimentation: in conversation with Matthew Gaunt | Research
‘High-throughput experimentation enables you to conduct far more reactions than you would be able to do manually,’ explains Professor Gaunt....
How Is AI Accelerating the Discovery of New Materials?
Batteries, solar panels, computer chips, carbon capture systems. All these innovative technologies, and others like them, are the result of...
.jpg "IFW Dresden selects Agnitron Agilis 100 MOCVD platform for precursor chemistry and ultra-wide-bandgap materials development")
