- Publication
- May 1, 2024
Unraveling the mechanisms underlying lignin and xylan dissolution in recyclable biphasic catalytic systems
Xie, et al. Fuel, 2024, 363, 130890- Publication
- Apr 6, 2024
Modified t-butyl in tetradentate platinum (II) complexes enables exceptional lifetime for blue-phosphorescent organic light-emitting diodes
Jung, et al. Nature Communications, 2024, 14, 2977- Publication
- Mar 15, 2024
Machine learning for data-driven design of high-safety lithium metal anode
Zhang, et al. STAR Protocols, 2024, 5(1), 102834- Publication
- Mar 14, 2024
Advancing material property prediction: using physics-informed machine learning models for viscosity
Chew, et al. Journal of Cheminformatics, 2024, 16(31)- Publication
- Mar 13, 2024
Understanding of complex spin up-conversion processes in charge-transfer-type organic molecules
Kim, et al. Nature Communications, 2024, 15, 2267- Publication
- Feb 22, 2024
Highly efficient implementation of analytic nonadiabatic derivative couplings within the pseudospectral method
Cao, et al. The Journal of Chemical Physics, 2024, 160(8), 84-106- Publication
- Feb 15, 2024
Comprehensive evaluation of chiral sedaxane with four stereoisomers for risk reduction: Bioactivity, toxicity, and stereoselective dissipation in crop planting systems
Di, et al. Food Chemistry, 2024, 434, 137375- Publication
- Feb 6, 2024
Multifaceted Study of a Y-Shaped Pyrimidine Compound: Assessing Structural Properties, Docking Interactions, and Third-Order Nonlinear Optics
Potla, et al. ACS Omega, 2024, 9(7), 7424-7438- Publication
- Feb 1, 2024
Stabilization of myoglobin from different species (produced by cellular agriculture) using food-grade natural and synthetic antioxidants
Chung, et al. Food Res Int, 2024, 178, 113965- Publication
- Jan 25, 2024
Insights into the binding mechanism of 2,5-substituted 4-pyrone derivatives as therapeutic agents for fused dimeric interactions: A computational study using QTAIM, dynamics and docking simulations of protein–ligand complexes
Kubaib, et al. Quantum Chemistry, 2024, 124(3), e27330- Publication
- Jan 15, 2024
Probing the photostability of avobenzone with N-acetylcysteine using UV spectroscopy, computational studies and integration into aloe vera gel
Sahoo, et al. Journal of Photochemistry and Photobiology A: Chemistry, 2024, 447, 115196- Publication
- Jan 3, 2024
Structural Insights into a Side Chain Cross-Linking Biarylitide P450 from RiPP Biosynthesis
Hansen, et al. ACS Catalysis, 2024, 14(2), 812-826Case Studies
- Jul 11, 2025
Advancing sustainable food processing through integrated experimental and molecular simulation approaches
Scientists from Schrödinger and UMass carried out comprehensive studies experimentally and computationally to investigate the key properties and extrusion performance of zein-formulated meat alternatives.
Documentation
- Documentation
Machine Learning Force Fields
Machine Learning Force Fields (MLFFs) offer a novel approach for predicting the energies of arbitrary systems.
- Documentation
MS Transport
Efficient molecular dynamics (MD) simulation tool for predicting liquid viscosity and diffusions of atoms and molecules.
Events
- Sep 30th – Oct 2nd, 2025
Festival of Biologics Basel 2025
Schrödinger is excited to be participating in the Festival of Biologics 2025 conference taking place on September 30th – October 2nd in Basel, Switzerland.
- Oct 1st-2nd, 2025
Simulation World Detroit
Schrödinger is excited to be participating in the Simulation World Detroit conference taking place on October 1st – 2nd in Plymouth, Michigan.
- Oct 1st-3rd, 2025
Structure-Based Drug Design Conference 2025
Schrödinger is excited to be participating in the Structure-Based Drug Design Conference 2025 taking place on October 1st – 3rd in Sestri Levante, Italy.
Training Videos
Getting Going with Materials Science Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
Schrödinger’s Materials Science Builder Series: Disordered System Builder
The video demonstrates how to use the Disordered System Builder within Schrödinger’s Materials Science Suite to prepare systems for molecular dynamics simulations.
Schrödinger’s Materials Science Builder Series: 2D Sketcher
This video demonstrates how to use the 2D Sketcher within Schrödinger’s Materials Science Maestro for building and editing molecules, covering its toolbar, drawing area, and various palettes.
Publications
- Publication
- May 9, 2025
Efficient long-range machine learning force fields for liquid and materials properties
Weber JL, et al. arXiv, 2025, Preprint- Publication
- Mar 17, 2025
Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
Chew, et al. npj Computational Matererials, 2025, 11, 72- Publication
- Mar 5, 2025
A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
Zhou, et al. Nature Communications, 2025, 16, 2210Quick Reference Sheets
- Quick Reference Sheet
Coarse Grained Mapping
Get an overview of the Coarse Grained Mapping panel for mapping all-atom structures to coarse grained models.
- Quick Reference Sheet
Visualize Restraints
Get an overview of the Visualize Restraints panel for displaying restraints in a cms structure.
- Quick Reference Sheet
ML Model Manager
Get an overview of the ML Model Manager for organizing and retraining outdated ML models.
Tutorials
- Tutorial
Introduction to Materials Science Maestro Tutorial
An introduction to Materials Science Maestro, covering basic navigation, an intro to building models and several of the key functionalities of the graphical user interface.
- Tutorial
Disordered System Building and Molecular Dynamics Multistage Workflows
Learn to use the Disordered System Builder and Molecular Dynamics Multistage Workflow panels to build and equilibrate model systems.
- Tutorial
Introduction to Geometry Optimizations, Functionals and Basis Sets
Perform geometry optimizations on simple organic molecules and learn basics regarding functionals and basis sets.
Webinars
- Oct 15, 2025
難溶性薬物の放出メカニズムを解明する – ASD研究の新たなアプローチModelling amorphous solid dispersion (ASD) release mechanisms
AbbVie と Schrödinger のエキスパートが、ASDにおける薬物放出やLoss of Release のメカニズムを、熱力学モデリング・分子シミュレーション・実験研究 を組み合わせた最新の研究成果を基に解説します。
- Oct 29, 2025
Advancing battery materials innovation using charge-aware machine learning force fields
In this webinar, we will demonstrate how Schrödinger is utilizing an integrated computational approach combining physics-based molecular modeling with machine learning force fields (MLFFs) to address key challenges in battery materials design.
- Nov 13, 2025
Accelerating product development with computational materials engineering
Learn how Ansys and Schrödinger are transforming product development with Integrated Computational Materials Engineering (ICME) to accelerate material discovery and innovation.
White Papers
Latest insights from Extrapolations blog
Training & Resources
Online certification courses
Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.
Free learning resources
Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.