- 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 15, 2025
Synthesis, optical and electrochemical properties of thiophene and thieno [3, 2-b] thiophene linked with structurally modified rhodanine based copolymers
Kasi, et al. Journal of Molecular Structure, 2025, 1322(3)
- 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
- Feb 10, 2025
Stability enhancement of Amphotericin B using 3D printed biomimetic polymeric corneal patch to treat fungal infections
Kailasam, et al. International Journal of Pharmaceutics, 2025, 670, 125149
- 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 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
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
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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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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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