- Publication
- Nov 4, 2025
Atomic Layer Deposition of NiOx: Harnessing the Potential of New Precursor Combinations for Photoelectrochemical Water Oxidation
Kannampalli, et al. Journal of Materials Chemistry A, 2025
- Publication
- Oct 13, 2025
Finding the temperature window for atomic layer deposition of ruthenium metal via efficient phonon calculations
Fonari, et al. Physical Chemistry Chemical Physics, 2025
- Publication
- Nov 22, 2024
Investigation of the atomic layer etching mechanism for Al2O3 using hexafluoroacetylacetone and H2 plasma
Chittock, et al. Journal of Material Chemistry, 2024
- Publication
- Sep 27, 2024
Chemical Nature and Control of High-k Dielectric/III-V Interfaces
Cabrera, et al. ECS Transactions, 2015, 66(6), 29164
- Publication
- Jun 28, 2024
Study of Electronic Structure and Simulation of Molecular Rearrangements of MOCVD Precursors to Predict Their Thermal Stability Upon Evaporation on the Example of Heteroleptic Copper(II) Complexes
Kryuchkova, et al. Journal of Structural Chemistry, 2024, 65, 895-906
- Publication
- Aug 30, 2022
Schiff base as n-type semiconductor: synthesis, characterization, and diode features
Sneha Kagatikar, et al. Chemical Papers, 2022
- Publication
- Aug 27, 2022
Boronic Acid-Based n-Type Semiconductor for Electronic Device Application
Sneha Kagatikar, et al. Journal of Electronic Materials, 2022
- Publication
- May 1, 2022
Enhancement of NO2 gas sensing ability through strong binding energy by modification of interface characteristics
Yea Eun Hahm, et al. Organic Electronics, 2022, 104
- Publication
- Feb 11, 2022
Thermal Grafting of Benzaldehyde for Preparing Catalytically Active Silicon Surface Evaluated by Electrical Methods
R. Mallikarjun, et al. Topics in Catalysis, 2022
- Publication
- Nov 12, 2021
Prediction and Validation of the Process Window for Atomic Layer Etching: HF Exposure on TiO2
Suresh Kondati Natarajan, et al. The Journal of Physical Chemistry C, 2021, 125(46), 25589-25599
- Publication
- Oct 22, 2021
Combining Experimental and DFT Investigation of the Mechanism Involved in Thermal Etching of Titanium Nitride Using Alternate Exposures of NbF5 and CCl4, or CCl4 only
V. Sharma, et al. Advanced Materials Interfaces, 2021, 8(22)
- Publication
- Sep 10, 2021
Modular Synthesis of Fully Degradable Imine-Based Semiconducting p-Type and n-Type Polymers
Helen Tran, et al. Chemistry of Materials, 2021, 33(18), 7465-7474
Events
Event
Materials Science
- Aug 11th-18th, 2026
IUCr2026
Schrödinger is excited to be participating in the IUCr2026 conference taking place on August 11th – 18th in Calgary, Alberta, Canada.
Event
Materials Science
- Aug 18th-21st, 2026
IMID 2026
Schrödinger is excited to be participating in the 26th International Meeting on Information Display conference taking place on August 18th – 21st in Busan, South Korea.
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.
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