- Publication
- Apr 23, 2020
Atomic Layer Deposition of Localized Boron- and Hydrogen-Doped Aluminum Oxide Using Trimethyl Borate as a Dopant Precursor
Mattelaer, et al. Chem. Mater., 2020, 32 (10), 4152-4165
- Publication
- Apr 2, 2020
Self-Limiting Temperature Window for Thermal Atomic Layer Etching of HfO2 and ZrO2 Based on the Atomic-Scale Mechanism
Mullins, et al. Chem. Mater., 2020, 32(8), 3414-3426
- Publication
- Apr 1, 2020
Rigid Oxygen-Bridged Boron-Based Blue Thermally Activated Delayed Fluorescence Emitter for Organic Light-Emitting Diode: Approach towards Satisfying High Efficiency and Long Lifetime Together
Ahn, et al. Advance Optical Materials, 2020, 8(11), 102
- Publication
- Mar 1, 2020
Estimation of electron and hole mobility of 50 homogeneous fullerene amorphous structures (C60, C58B2, C58N2 and C58NB) using a percolation corrected Marcus theory model
Goldberg, et al. Org. Electron., 2019, 105571, In Press
- Publication
- Feb 18, 2020
Massive Theoretical Screen of Hole Conducting Organic Materials in the Heteroacene Family by Using a Cloud-Computing Environment
Matsuzawa, et al. J. Phys. Chem., 2020, 124(10), 1981-1992
- Publication
- Jan 23, 2020
Quantifying the Extent of Ligand Incorporation and the Effect on Properties of TiO2 Thin Films Grown by Atomic Layer Deposition Using an Alkoxide or an Alkylamide
Dufond, et al. Chem. Mater., 2020, 32 (4), 1393-1407
- Publication
- Nov 27, 2019
Fundamental Limits to the Electrochemical Impedance Stability of Dielectric Elastomers in Bioelectronics
Le Floch, et al. Nano Letters, 2020, 20 (1), 224-233
- Publication
- Aug 21, 2019
Exploring the Mechanism of Hypochlorous Acid Decomposition in Aqueous Solutions
Busch, et al. Phys. Chem. Chem. Phys., 2019, 21, 19342
- Publication
- Aug 15, 2019
Low-temperature, high-growth-rate ALD of SiO2 using aminodisilane precursor
Nam, et al. Applied Surface Science, 2019, 485, 381-390
- Publication
- May 20, 2019
Using molecular simulation with high-temperature composites resins
Faiz Afzal, et al. International SAMPE Technical Conference, 2019, 2019-May, 1
- Publication
- Feb 7, 2019
Effects of Lewis Acidic Metal Ions (M) on Oxygen-Atom Transfer Reactivity of Heterometallic Mn3MO4 Cubane and Fe3MO(OH) and Mn3MO(OH) Clusters
Lionetti, et al. Inorg. Chem., 2019, 58(4), 2336-2345
- Publication
- Jan 27, 2019
On Achieving High Accuracy in Quantum Chemical Calculations of 3d Transition Metal Systems: A Comparison of Auxiliary-Field Quantum Monte Carlo with Coupled Cluster, Density Functional Theory, and Experiment for Diatomic Molecules
Shee, et al. Journal of Chemical Theory and Computation, 2019, 15 (4), 2346-2358
Events
Webinar
Life Science
- Oct 22, 2026
Advanced chemical space exploration for the discovery of mutant-selective EGFR inhibitors
In this webinar, Schrödinger’s medicinal and computational chemists will show how they tackled the EGFR triple-mutant problem by coupling industry-leading free energy perturbation technology (FEP+) with de novo design workflows to effectively explore novel chemical space and identify reversible inhibitor scaffolds.
Webinar
Materials Science
- Oct 27, 2026
AI/ML and physics-driven materials innovation in electronic packaging
In this webinar, we will cover state-of-the-art computational workflows for predicting key properties of polymer packaging materials, an essential aspect of the “predict-first” approach.
Webinar
Life Science
- Nov 4, 2026
Steering high-throughput de novo design toward synthesis-ready leads with an agentic co-scientist
In this webinar, we explore how Schrödinger’s platform brings AutoDesigner, FEP+, and RetroSynth together inside Bunsen, our agentic co-scientist.
Webinars
Webinar
Materials Science
- Oct 27, 2026
AI/ML and physics-driven materials innovation in electronic packaging
In this webinar, we will cover state-of-the-art computational workflows for predicting key properties of polymer packaging materials, an essential aspect of the “predict-first” approach.
Webinar
Materials Science
- Oct 6, 2026
Accelerating materials innovation with Bunsen, your agentic co-scientist for physics & AI
In this webinar, practical materials development case studies will show how Bunsen moves beyond a conventional chat interface to plan and execute multi-step workflows spanning literature and data analysis, quantum mechanics and molecular dynamics simulations, machine learning, iterative candidate refinement, and the synthesis of results into clear, shareable reports.
Webinar
Life Science
Materials Science
- Sep 23, 2026
Bunsen: Where Validated Scientific Workflows Meet Agentic AI
Join Schrödinger CTO Pat Lorton for an introduction to Bunsen. Pat will share how Bunsen allows researchers to set up, run, and troubleshoot multi-stage workflows without command-line friction or manual setup.
Tutorials
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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.
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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.
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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
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Materials Science
Getting Going with MS Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
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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.
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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
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- 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
- Sep 14, 2026
Predict skin products safety and efficacy computationally —ahead of the lab
As global animal testing bans expand, benchwork alone is no longer enough to meet modern safety benchmarks.
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
White Papers
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Materials Science
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Materials Science
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Materials Science
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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.
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