- Tutorial
pKa Predictions with Jaguar pKa
Predict the pKa of organic molecules with more than one acidic functional group.
- Tutorial
Modeling Receptor Binding in an Olfactory Protein
Learn how to prepare structures for docking and create a protein mutation by modeling an olfactory receptor.
- Tutorial
Nanoreactor
Learn to leverage the nanoreactor tool to explore chemical compound and reaction space without any prior knowledge of the reaction products.
- Tutorial
Building a Coarse-Grained Skin Model using Martini Force Field
Build a coarse-grained model of a hydrated skin bilayer with Martini force field parameters using two different methods.
- Tutorial
Machine Learning for Formulations
Learn to build and apply machine learning models to predict the density of multicomponent mixtures.
- Tutorial
Microkinetic Modeling
Learn to generate a microkinetic model to study the activity of a heterogeneous catalyst for COO (carbon monoxide oxidation).
- Tutorial
Dynamic Relaxed Coordinate Scans
Explore potential energy surfaces using dynamic relaxed coordinate scans.
- Tutorial
Rigid and Relaxed Coordinate Scans
Explore potential energy surfaces using rigid and relaxed coordinate scans.
- Tutorial
Computing Atomic Charges
Calculate atomic partial charges and compare different methods for determining charges.
- Tutorial
Vibrational Circular Dichroism (VCD)
Learn to perform vibrational circular dichroism (VCD) calculations.
- Tutorial
pKa Prediction with Macro-pKa
Learn how to carry out DFT-based pKa calculations with the Macro-pKa workflow and how to analyze the results it produces.
- Tutorial
Locating Transition States: Part 2
Demonstrate how to use a known transition state to locate the transition state of a similar reaction.
Case Studies
- 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.
Documentation
- Documentation
Quantum ESPRESSO Interface
A comprehensive graphical user interface for calculation set-up, job control and results analysis.
- Documentation
QSite
A multi-scale simulation tool that utilizes the QM/MM method, which combines the principles of quantum mechanics and molecular mechanics.
- Documentation
OPLS4 and OPLS5 Force Field
A force field that is a model of the potential energy of a chemical system – a set of functions and parameters used to model the potential energy of the system, and thereby to calculate the forces on each particle.
Events
- Jul 30, 2025
In silico cryptic binding site detection and prioritization
In this webinar, we will introduce a novel computational workflow that integrates mixed solvent molecular dynamics (MxMD) with SiteMap to reveal and identify cryptic binding sites.
- Aug 6, 2025
Advancing machine learning force fields for materials science applications
In this webinar, we will introduce Schrödinger’s state-of-the-art MLFF architecture, called Message Passing Network with Iterative Charge Equilibration (MPNICE), which incorporates explicit electrostatics for accurate charge representations.
- Aug 7th-9th, 2025
Display Innovation China 2025
Schrödinger is excited to be participating in the Display Innovation China (DIC) conference taking place on August 7th – 9th in Shanghai, China.
Training Videos
Getting Going with Materials Science Maestro Video Series
A free video series introducing the basics of using Materials Science Maestro.
Polymers: Schrödinger’s Materials Science Builder Series
This video showcases a workflow for polymer modeling, including building, simulating, and analyzing polymer models, and exporting to PyMOL for movie creation.
Building Small Molecules in MS Maestro
The sixth video in the Getting Going with Materials Science (MS) Maestro Video Series: 2D Sketcher, 3D Builder, and Force Field Minimization.
Publications
- Publication
- May 9, 2025
Efficient long-range machine learning force fields for liquid and materials properties
Weber JL, et al. arXiv, 2025, Preprint- Publication
- Mar 17, 2025
Leveraging high-throughput molecular simulations and machine learning for the design of chemical mixtures
Chew, et al. npj Computational Matererials, 2025, 11, 72- 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, 2210Quick Reference Sheets
- Quick Reference Sheet
Microkinetics Deposition Analysis
Get an overview of the Microkinetics Deposition Analysis panel analyzing microkinetic modeling calculation results for deposition processes.
- Quick Reference Sheet
CREST
Get an overview of the CREST panel covering conformational search for small molecule using CREST.
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.
Webinars
- Aug 6, 2025
Advancing machine learning force fields for materials science applications
In this webinar, we will introduce Schrödinger’s state-of-the-art MLFF architecture, called Message Passing Network with Iterative Charge Equilibration (MPNICE), which incorporates explicit electrostatics for accurate charge representations.
- Jun 19, 2025
Schrödinger 디지털 플랫폼 솔루션을 응용한 디스플레이 소재/소자 및 배터리 소재 기술의 혁신
최근 계산과학과 신소재기술의 발전에 힘입어, 컴퓨터를 활용한 디지털 재료 설계 솔루션을 보다 쉽고 빠르게 연구개발에 적용할 수 있는 기회가 마련되었습니다.
- Jun 17, 2025
Accelerating chemical innovation with AI/ML: Breakthroughs across materials applications
In this webinar, we will explore how AI/ML is driving impactful advancements in materials innovation, highlighting case studies that illustrate cutting-edge ML techniques in diverse applications.
White Papers
Latest insights from Extrapolations blog
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.