Molecular Insight, Material Impact
Please find within this page details around utilizing Schrödinger’s software and services within the Petrochemical industry.
Petrochemical Presentation
Download our Petrochemical presentation to learn more about Schrödinger and our software capabilities.
Typical Roadmap to Adoption
Here is an example of an adoption pattern followed by similar companies. This is completely customizable and can be segmented to meet your needs.
1
Technical Engagement
Meet with our experts to discuss how modeling and simulation can address your R&D needs
2
Contract Research
Optionally, outsource a project to our experienced contract research team
3
Training & Courses
Learn to use our software – whether you are a complete beginner or expert
4
5
Webinars and White Papers
Webinar
Materials Science
High-performance materials discovery: A decade of cloud-enabled breakthroughs
This talk will showcase how Schrödinger’s integrated materials science platform enables massive parallel screening and de novo design campaigns across diverse applications.
Webinar
Materials Science
Accelerating the Design of Asymmetric Catalysts with Schrödinger’s Digital Chemistry Platform
In this webinar, we demonstrate how Schrödinger’s advanced digital chemistry platform can be used to accelerate the direct design and discovery of asymmetric catalysts.
Webinar
Materials Science
Purposeful simulation: Maximising impact in surface chemistry modelling
In this webinar, learn about a variety of atomistic models of surfaces and gain perspective on the underlying rationale, benefits and limitations of each.
White Paper
Materials Science
Publications
Machine learning-based design of pincer catalysts for polymerization reaction
Schrödinger Publication
ReadQuantum chemical package Jaguar: A survey of recent developments and unique features
Schrödinger Publication
ReadStructure of methylaluminoxane (MAO): Extractable [Al(CH3)2]+ for precatalyst activation
ExxonMobil Paper
ReadIron-catalysed synthesis and chemical recycling of telechelic 1,3-enchained oligocyclobutanes
ExxonMobil Paper
ReadDesigning the next generation of polymers with machine learning and physics-based models
SABIC Paper
ReadLeveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
Schrödinger Paper
Read