By Schrodinger
Learn how to apply informatics tools to design molecules, formulations, and devices for materials science applications Details Available Languages Chinese, English, Japanese, Korean Duration 4 weeks / ~15 hours to complete Level Introductory Cost $600 for non-student users $160 for student / post-doc Course Timeframe When registering for the course, you will be able to choose your preferred start and end date. Within those dates, you will have asynchronous access to the course to work on your preferred schedule Overview Materials informatics brings machine learning to every stage of materials and device design, from predicting a single molecule’s properties to optimizing multi-component formulations to guiding device-level performance. This course teaches you to build and apply Machine Learning (ML) models using Schrödinger’s Materials Science Maestro (MS Maestro) interface, with no coding required. You’ll work hands-on with real property-prediction datasets spanning small organic and organometallic molecules, ionic liquids, catalysts, polymers, inorganic solids, and formulated products. Then, you will extend that workflow to device design. By the end of the course, you will independently build, evaluate and apply ML models for a real-world design problem. This materials informatics course offers an effective and efficient approach to learn practical data-driven workflows for materials science: - Work hands-on with Schrödinger’s industry-leading MS Maestro software - Jump start your research program by learning methods that can be directly applied to ongoing projects - Perform a completely independent case study to demonstrate mastery of the course content - Benefit from review and feedback from Schrödinger Education Team experts for course assignments and course-related queries - Work on the course materials on your own schedule whenever convenient for you This course comes with access to a web-based version of Schrödinger software with the necessary licenses and compute resources for the course: Requirements - Working knowledge of general chemistry - No coding or machine learning background required – all workflows are conducted through the MS Maestro graphical interface - A computer with reliable high speed internet access (8 Mbps or better) - A mouse and/or external monitor (recommended but not required) Certification - A certificate signed by the Schrödinger course lead - A badge that can be posted to social media, such as LinkedIn What you will learn The basics of materials informatics & the MS Maestro interface Learn the basics of materials informatics and how to use an industry-leading interface for data-driven materials science modeling. No coding or scripting required to run modeling workflows Molecule-to-material property prediction Learn how to build, train, validate, and apply models for structure-property relationships across diverse chemistries and applications Formulation informatics Learn how to build, train, validate and apply models for formulation-property relationships of multi-component mixtures across diverse chemistries and applications Device-level informatics Learn how to build, train, validate and apply models for device-property relationships of layered devices with a focus on organic light-emitting diodes (OLEDs) devices Modules Module 1 2 Hours Introduction to materials informatics Video Introduction to materials informatics Video tutorial Introduction to materials science (MS) Maestro Honor code agreement and checkpoint Module 2 4 Hours + Compute Time Predicting properties: From molecules to materials Video Introduction to structure-pro
