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...
Discovery
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...
AI in High-Throughput Experimentation Powers Discovery
Artificial intelligence (AI) has been adopted in laboratories, not as a futuristic add-on but as a practical engine for accelerating...
Adaptive AI decision interface for autonomous electronic material discovery
Gupta, K. M. & Gupta, N. Semiconductor Materials: their Properties, Applications, and Recent Advances. in Advanced Semiconducting Materials and Devices....
AIRES revolutionizes reticular chemistry with rapid, data-driven crystal discovery
A multi-institution research team has unveiled AIRES (Algorithmic Iterative Reticular Synthesis), a powerful AI-driven platform designed to dramatically speed up...
Automated Drug Discovery Advances With AI-Driven Synthesis Of 905,990 Reactions
Automated planning of chemical synthesis remains a significant hurdle in accelerating drug discovery and enabling fully robotic laboratories, largely because...
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