Products
Augment your discovery work with a collaborative digital design ecosystem powered by industry-leading computational workflows
Augment your discovery work with a collaborative digital design ecosystem powered by industry-leading computational workflows
Automated, scalable solution for the training and application of predictive machine learning models
High-performance molecular dynamics (MD) engine providing high scalability, throughput, and scientific accuracy
Efficient tool for optimizing custom torsion parameters in OPLS4
Design solution for novel molecular materials in optoelectronic applications based on a generative algorithm
Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties
Conformationally-dependent spectroscopic characterization based on quantum mechanics calculations
Your complete solution for rapid AI/ML molecular property predictions
Efficient coarse-grained (CG) molecular dynamics (MD) simulations for large systems over long time scales
Automatic workflow to calculate dielectric properties and refractive index
Automated machine learning tools for materials science applications
Atomistic simulation and analysis of charge mobility in solid-state films of organic semiconductors
Molecular dynamics (MD) modeling for predicting water loading and small molecule gas adsorption capacity of a condensed system
Generate physically relevant electrode-electrolyte interface morphologies for batteries
Automatic workflow for accurate prediction of reactivity and catalysis
Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules
Integrated graphical user interface for nanoscale quantum mechanical simulations
Learn how to integrate Schrödinger technology into your research with molecular modeling training resources, curated by Schrödinger Education experts.
Level-up your research with molecular modeling training resources, curated by Schrödinger Education experts.