- Publication
- Apr 10, 2016
Structure Making Properties of 1-(2-hydroxylethyl)-3-methylimidazolium Chloride Ionic Liquid
Vrane’, et al. The Journal of Chemical Thermodynamics, 2016, 95, 174
- Publication
- Mar 25, 2016
Catalytic Borylation of Methane
Smith, et al. Science, 2016, 351(6280), 1424
- Publication
- Mar 24, 2016
Fluorophores based on a minimal thienylthiazole core: towards multifunctional materials with solid state red emissions, solvatochromism and AIE behaviour
Radhakrishnan, et al. RSC Adv., 2016, 39, 32705-32709
- Publication
- Mar 9, 2016
Surface Etching, Chemical Modification and Characterization of Silicon Nitride and Silicon Oxide – Selective Functionalization of Si3N4 and SiO2
Liu, et al. Journal of Physics: Condensed Matter, 2016, 28 (9), 094014
- Publication
- Mar 1, 2016
Kosmotropism of Newly Synthesized 1-butyl-3-methylimidazolium Taurate Ionic Liquid: Experimental and Computational Study
Tot, et al. The Journal of Chemical Thermodynamics, 2016, 94, 85
- Publication
- Feb 15, 2016
Optoelectronic Properties of Higher Acenes, Their BN Analogue and Substituted Derivatives
Armakovi’, et al. Materials Chemistry and Physics, 2016, 170, 210
- Publication
- Feb 5, 2016
Estimation of Charge Carrier Mobility in Amorphous Organic Materials Using Percolation Corrected Random-Walk Model
Evansa, et al. Organic Electronics, 2016, 29, 50-56
- Publication
- Feb 1, 2016
Structuring of Water in the New Generation Ionic Liquid – Comparative Experimental and Theoretical Study
Vrane’, et al. The Journal of Chemical Thermodynamics, 2016, 93, 164
- Publication
- Jan 28, 2016
Influence of Sumanene Modifications with Boron and Nitrogen Atoms to its Hydrogen Adsorption Properties
Armakovi’, et al. Physical Chemistry Chemical Physics, 2016, 18, 2859
- Publication
- Jan 16, 2016
Atomic Layer Deposition of Boron-Containing Films using B2F4
Mane, et al. Journal of Vacuum Science & Technology, 2016, 34, 01A132
- Publication
- Jan 13, 2016
Graphene Quantum Sheet Catalyzed Silicon Photocathode for Selective CO2 Conversion to CO
Yang, et al. Advanced Functional Materials, 2015, 26, 233
- Publication
- Dec 24, 2015
Simulation of Nucleation and Growth Of ALD Phosphorus for Doping of Advanced FinFETs
Seidel, et al. Journal of Vacuum Science & Technology, 2016, 34, 01A150
Events
Event
Life Science
- Sep 6th-10th, 2026
EFMC Medicinal Chemistry 2026
Schrödinger is excited to be participating in the EFMC Medicinal Chemistry 2026 conference taking place on September 6th – 10th in Basel, Switzerland.
Webinar
Life Science
- Sep 10, 2026
Is structure-based drug design and toxicology ready for ion channels and transporters?
In this webinar, we will answer this question by presenting the results of a large scale study of potency prediction for seven clinically relevant ion channels and two transporters.
Event
Life Science
- Sep 13th-16th, 2026
30th National Meeting on Medicinal Chemistry 2026
Schrödinger is excited to be participating in the 30th National Meeting on Medicinal Chemistry 2026 conference taking place on September 13th – 16th in Messina, Italy.
Webinars
Webinar
Materials Science
- Jul 23, 2026
Accelerating sustainable chemical innovation with physics-powered AI and predictive modeling
Join us for a webinar with Innovation Research Interchange and learn how the Fast-Moving Consumer Goods (FMCG) sector is currently navigating a significant transition driven by a global consumer shift toward “clean label” products and high-transparency ingredient lists.
Webinar
Materials Science
- Jun 3, 2026
A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients recording
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
- May 13, 2026
Integrating AI and Machine Learning to Accelerate Composite Resin Formulation
Schrödinger is excited to be hosting a webinar in collaboration with Composites World, taking place on May 13th at 11:00AM EDT.
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
- Jun 3, 2026
Data-Driven Design of Organic Semiconductors Exhibiting Low Reorganization Energy via Hierarchical Variational Autoencoders, Gaussian Mixture Regression, and Bayesian Optimization
Nakanishi, et al. Journal of Chemical Information and Modeling, 2026, 66(12), 7034–7045
- Publication
- May 27, 2026
Digital Discovery of Large-Scale Optoelectronic Materials via MPNICE Machine-Learning Force Fields
Abroshan, et al. Physical Chemistry Chemical Physics, 2026, 28(24), 14764–14774
- Publication
- Apr 23, 2026
Multiobjective Design of Electrolyte Solvents via Physics-Based Modeling and Reinforcement Learning
Afzal, et al. ACS Applied Engineering Materials, 2026, 4(5), 2140–2150
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
Coarse-Grained Backmapping
Get an overview of the Coarse-Grained Backmapping panel.
Latest insights from Extrapolations blog
Blog
How L’Oreal Uses Digital Simulation to Explore Sustainable Product Ingredients
Most of us could name at least one cosmetic or personal care product that’s essential to looking and feeling our best. Whether it’s a specific kind of soap, a brand of mascara, the right shade of lipstick or the shampoo that works best for our hair, these products have become a critical part of our daily routine.
Uncovering Better Materials for the Spacecraft of Tomorrow
When it comes to solving problems for his job, the work done by Dr. Levi Moore actually is rocket science. As a research chemist with the United States Air Force Research Laboratory, he’s tasked with helping to develop new materials that make it easier and safer to launch rockets into space.
Sustainable Food Packaging Designed at the Atomic Level
Each year, an estimated 330 million metric tonnes of plastic are produced globally. A significant portion of that plastic becomes waste, clogging landfills, rivers, and the ocean for centuries, damaging ecosystems and negatively impacting human health.
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.
Other Resources