Schrödinger Inc.

Booth Number:A21


Company PR Contact Name and TelephoneNumber/Email-address

Contact:   Name: Taihu Jin   Tel: 13928379673   E-mail: emni@emni.co.kr


Company Profile

The Schrödinger platform integrates predictive physics-based simulation with machine learning techniques to accelerate materials design. Our iterative process is designed to accelerate evaluation and optimization of chemical matter in silico ahead of synthesis and characterization. Promising compounds emerging from successive synthetic rounds can be optimized even further through additional computation cycles.The result: Our platform accelerates the optimization and discovery of novel materials solutions at lower cost and a higher likelihood of success compared to traditional methods.



Description of the Productand Service

MS Maestro is a streamlined interface for structural visualization, cutting-edge predictive computational modeling and machine learning workflows for Materials Science discovery and analysis. MS Maestro enables users at all levels of experience to work efficiently and produce impactful results.