- Publication
- Jun 6, 2022
Through-Bond-Driven Through-Space Interactions in a Fullerene C60 Noncovalent Dyad: An Unusual Strong Binding between Spherical and Planar ‘ Electron Clouds and Culmination of Dyadic Fractals
Mohd Athar and Archita Patnaik, The Journal of Physical Chemistry A, 2022, 126(23), 3629-3641
- Publication
- Jun 5, 2022
Comprehensive Study of the Chemistry behind the Stability of Carboxylic SWCNT Dispersions in the Development of a Transparent Electrode
Jovana Stanojev, et al. Nanomaterials (Basel), 2022, 12(11)
- Publication
- Jun 1, 2022
Melt-state degradation mechanism of poly (ether ketone ketone): the role of branching on crystallization and rheological behavior
Chris Croshaw, et al. Polymer Degradation and Stability, 2022, 200
- Publication
- May 25, 2022
Intramolecular hydroxyl nucleophilic attack pathway by a polymeric water oxidation catalyst with single cobalt sites
Hao Yang, et al. Nature Catalysis, 2022, 5, 414-429
- Publication
- May 23, 2022
Influence of side-chain length on antifungal efficacy of N-alkyl nicotinamide-based compounds
Aleksandar Tot, et al. Environmental Science and Pollution Research, 2022
- Publication
- May 20, 2022
Free charge photogeneration in a single component high photovoltaic efficiency organic semiconductor
Michael B. Price, et al. Nature Communications, 2022, 13(2827)
- Publication
- May 11, 2022
Transfer learning Lithium and electrolyte potential energy surfaces from pure and hybrid DFT
Stevenson, et al. Open Review, 2022
- Publication
- May 11, 2022
Molecular Engineering of Printed Semiconducting Blends to Develop Organic Integrated Circuits: Crystallization, Charge Transport, and Device Application Analyses
Hyeok-jin Kwon, et al. ACS Applied Materials & Interfaces, 2022, 14(20), 23678-23691
- Publication
- May 6, 2022
Borane-catalyzed dehydrogenative C-C bond formation of indoles with N-tosylhydrazones: an experimental and computational study
Dipika, et al. Organic Chemistry Frontiers, 2022
- Publication
- May 5, 2022
Qualitative and quantitative contributions of intermolecular interactions of dinuclear Ag complexes of sulfathiazole and sulfadiazine: X-ray crystallographic, Hirshfeld surface analysis, DFT studies and biological activities
Mohammed Dawood Alalawy, et al. Journal of Molecular Structure, 2022, 1255
- Publication
- May 2, 2022
Data-driven discovery of small electroactive molecules for energy storage in aqueous redox flow batteries
Qi Zhang, et al. Energy Storage Materials, 2022, 47, 167-177
- 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
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.
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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.
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
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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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