- 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, 2210
- Publication
- Mar 3, 2025
Charge Transport Regulation in Solution-Processed OLEDs by Indenocarbazole–Triazine Bipolar Host Copolymers
Ali, et al. ACS Applied Materials & Interfaces, 2025, 17(10), 15698–15708
- Publication
- Feb 28, 2025
Uncovering the light absorption mechanism of the blue natural colorant allophycocyanin from Arthrospira platensis using molecular dynamics
Buecker, et al. Food Chemistry, 2025, 466, 141834
- Publication
- Feb 13, 2025
Taste-Guided Isolation of Bitter Compounds from the Mushroom Amaropostia stiptica Activates a Subset of Human Bitter Taste Receptors
Schmitz, et al. Journal of Agricultural and Food Chemistry, 2025, 73(8), 4850–4858
- Publication
- Jan 22, 2025
Advancing efficiency in deep-blue OLEDs: Exploring a machine learning–driven multiresonance TADF molecular design
Kim, et al. Physical Sciences, 2025, 11(4)
- Publication
- Jan 8, 2025
Large-scale Atomistic Simulations of Lithium Diffusion in a Graphite Anode with a Machine Learning Force Field
Cheng, et al. ChemRxiv, 2025, Preprint
- Publication
- Dec 16, 2024
A density functional theory study of keto-enol tautomerism in 1,2-cyclodiones: Substituent effects on reactivity and thermodynamic stability
Juma, et al. Journal of Chemical Research, 2024
- Publication
- Dec 10, 2024
Calculating apparent pKa values of ionizable lipids in lipid nanoparticles
Hamilton, et al. Molecular Pharmaceutics, 2024
- Publication
- Dec 3, 2024
Catalytic Intermolecular Asymmetric [2π + 2σ] Cycloadditions of Bicyclo[1.1.0]butanes: Practical Synthesis of Enantioenriched Highly Substituted Bicyclo[2.1.1]hexanes
Li, et al. Journal of the American Chemical Society, 2024
- Publication
- Dec 2, 2024
Gaining molecular insights towards inhibition of foodborne fungi Aspergillus fumigatus by a food colourant violacein via computational approach
Sindhu, et al. Scientific Reports, 2024, 14, 29905
- Publication
- Dec 1, 2024
Improving color and digestion resistibility of 3D-printed ready-to-eat starch gels using anthocyanins
Huang, et al. LWT, 2024, 213, 116990
Events
Webinar
Materials Science
- Jun 2, 2026
Accessible and automated computational catalyst discovery and reactivity optimization
In this webinar, we will demonstrate how an end-user physics–AI platform removes barriers to entry, making this process accessible to both experts and non-experts while enabling seamless scalability.
Event
Life Science
- Jun 2nd-4th, 2026
Computational and Medicinal Chemistry by the Lake 2026
Schrödinger is excited to be participating in the Computational and Medicinal Chemistry by the Lake 2026 conference taking place on June 2nd – 4th in Kuopio, Finland.
Webinar
Materials Science
- Jun 3, 2026
A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients
In this webinar, we present recent advances in automated, end-to-end solutions for studying degradation, reactivity, and catalysis of active pharmaceutical ingredients (APIs).
Webinars
Webinar
Materials Science
- Jun 2, 2026
Accessible and automated computational catalyst discovery and reactivity optimization
In this webinar, we will demonstrate how an end-user physics–AI platform removes barriers to entry, making this process accessible to both experts and non-experts while enabling seamless scalability.
Webinar
Materials Science
- Jun 3, 2026
A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients
In this webinar, we present recent advances in automated, end-to-end solutions for studying degradation, reactivity, and catalysis of active pharmaceutical ingredients (APIs).
Webinar
Materials Science
- Jun 17th-23rd, 2026
Composite resin formulation with AI and machine learning in action
This webinar with demos will demonstrate how integrating ML with molecular simulation enables faster, more informed development of next-generation resin formulations.
Documentation
- Documentation
Complex Bilayer Builder Panel
Build single or multi-component lipid membranes with or without an embedded membrane protein.
- Documentation
Membrane Analysis Panel
Calculate structural properties for a lipid membrane over the selected frames of a trajectory.
- Documentation
Membrane Analysis Viewer Panel
View plots of the structural properties of a lipid over the course of a molecular dynamics trajectory, generated using the Membrane Analysis panel.
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.
Training Videos
Video
Materials Science
Getting Going with MS Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
Video
Materials Science
Launching, Saving and Importing – Getting Going with MS Maestro
Learn Launching, Saving and Importing in the Getting Going with Materials Science (MS) Maestro Video Series.
Video
Materials Science
Navigating the Graphical User Interface – Getting Going with MS Maestro
Learn how to navigate the Graphical User Interface in the Getting Going with Materials Science (MS) Maestro Video Series.
Publications
- Publication
- Jan 20, 2026
Quantum-Enhanced Neural Exchange-Correlation Functionals
Sokolov, et al. Physical Review A, 2026, 113, 012427
- Publication
- Jan 8, 2026
Molecular Dynamics Insights into Ibuprofen Nanocrystal Dissolution Put in the Context of Classical Nucleation Theory
Skrdla, et al. Molecular Pharmaceutics, 2026, 23(2), 1089-1100
- Publication
- Jan 1, 2026
Insights into electrolyte reactivity at the Li metal surface from density functional theory
Agarwal, et al. Computational Materials Science, 2026, 261, 114278
Case Studies
Case Study
Materials Science
- 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.
Case Study
Life Science
Materials Science
Case Study
Materials Science
White Papers
White Paper
Materials Science
White Paper
Materials Science
White Paper
Materials Science
Quick Reference Sheets
- Quick Reference Sheet
Materials Science Panel Explorer
Get an overview of the Materials Science Panel Explorer panel for filtering for tools of interest.
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.