Digital chemistry platform leverages physics-based modeling for enhanced workflow

Schrödinger (New York, N.Y., U.S.) introduces a digital chemistry software platform enabling the quick and cost-effective discovery of high-quality, novel molecules for materials applications. With Schrödinger’s digital chemistry platform, users can access advanced computational solutions leveraging physics-based modeling, machine learning and enterprise informatics to understand and predict product performance of polymers and composites at molecular and atomic scales. These solutions can enable researchers to tackle materials challenges across diverse polymer resin and carbon fiber applications.

Composite industry tailored workflows, tutorials and online courses are designed to enable companies to integrate digital chemistry into their existing workforce with minimal time and effort. Customized support is provided by Schrödinger’s polymer, composite and surface chemistry scientists.

Schrödinger’s software helps identify high-performance composites by:

• Modeling moisture aging and morphological stability in polymer composites
• Predicting glass transition, thermal stability and thermal expansion with custom resin formulations
• Predicting resin sizing compatibility for natural fibers
• Aiding in root cause analysis of materials-related issues.

At its booth, Schrödinger is providing a live demo on composite modeling. In addition, a presentation, “A multi-scale framework to determine effects of environmental conditions on composite parts using molecular dynamics and finite-element methods” by David Nicholson, principal scientist at Schrödinger, is available to visitors. It takes place on Tuesday, Sept. 10 from 2:30 – 2:55 p.m.