Adopt high-impact modeling to power your materials R&D
While computational chemistry has long been a part of the material R&D process, we’re in the midst of a paradigm shift from computer-aided to computer-driven materials discovery.
With Schrodinger’s digital platform for molecular simulation, you can take advantage of high-performance physics-based modeling and machine learning technologies that level up your design and discovery pathways and empower you to deliver real material R&D innovations.
Advantages of the Schrödinger platform for computational chemists
Decades of innovation at your fingertips
Benefit from technology backed by 30 years of scientific R&D and validated by thousands of customers across industries, with constant software improvement according to user feedback
Speed, accuracy and performance with GPU acceleration
Ensure you can deliver results and meet project timelines – with accelerated GPU-performance, delivering speed, accuracy and functionality.
Single user interface to access the spectrum of simulation capabilities
Access powerful quantum mechanics (QM), both molecular and periodic, molecular dynamics (MD) simulations, both all-atom and coarse-grained and machine learning (ML) from a single intuitive interface, MS Maestro, with automated workflows.
Easily automated modeling workflows
Leverage the Schrödinger Python API to automate modeling capabilities using the universal scripting language, Python
Supported by a team of experts
Transform your on-boarding experience of new software with Schrödinger’s team of experts in computational chemistry offering dedicated technical and scientific support, and personalized training
Large collection of resources for online learning
Access vast online education resources, including tutorials and online courses, facilitating rapid upskilling of your team, including experimentalists who are new to computational chemistry
A broad range of molecular modeling & machine learning capabilities
Schrödinger offers a broad range of advanced software solutions to support materials scientists and engineers.
Density functional theory with gaussian orbital-based and plane-wave basis methods
Molecular mechanics featuring accurate conformation search algorithm
Advanced all-atom force field for molecular dynamics simulations
Materials informatics with automated library generation algorithms
Accelerated quantum chemistry with extended tight-binding methods
Classical molecular dynamics for all-atom and coarse-grained representations
Machine learning with support for active learning algorithms and deep neural network
Technology in action
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Online certification course: Level-up your skill set in materials innovation
Not familiar with Schrödinger software and interface? Benefit from vast educational resources, self-paced courses, and 1-1 training tailored for you. Schrödinger software is designed for experts and novices with easy-to-use interface and automated workflows, backed by dedicated scientific and technical support.
Learn MoreSoftware and services to meet your organizational needs
Software Platform
Deploy digital materials discovery workflows with a comprehensive and user-friendly platform grounded in physics-based molecular modeling, machine learning, and team collaboration.
Research Services
Leverage Schrödinger’s expert computational scientists to assist at key stages in your materials discovery and development process.
Support & Training
Access expert support, educational materials, and training resources designed for both novice and experienced users.
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