MS Reactivity

Automated workflows for design, optimization, and unsupervised mechanism discovery in molecular chemistry

Materials Science: Reactivity

Overview

MS Reactivity offers a comprehensive suite of computational capabilities that enable highly automated workflows for molecular (catalyst) design, reaction optimization, and unsupervised mechanism discovery in molecular chemistry. Its two flagship tools are Reaction Network Enumeration Profiler (RxnEnumProfiler) and Nanoreactor. Complementing these is CREST GUI, a user-friendly interface for CREST – a utility and driver program for the semiempirical quantum chemistry package xTB.

RxnEnumProfiler

Virtual high-throughput screening (vHTS) of reaction networks is a computational strategy for systematically evaluating large libraries of chemical species within a fixed reaction topology—that is, a predefined sequence of mechanistic steps involving reactants, products, intermediates, and/or transition states that characterize a catalytic or chemical process. RxnEnumProfiler is a fully automated, massively parallel workflow specifically developed to enable this process. It functions by automatically enumerating a user-defined reference reaction network and computing the corresponding free energy profiles (FEPs). These profiles are calculated as either Boltzmann-averaged conformational ensemble Gibbs free energies (GBA) or lowest-energy conformer G values, based on a specified quantum mechanical level of theory.

Application of RxnEnumProfiler for homogeneous catalyst design: starting from reference reaction network, user-defined library for enumeration (with N components) and specified QM level, a set of new reaction networks is created and corresponding (lowest or Boltzmann-averaged) N Free Energy Profiles are computed on-the-fly. Key metrics for catalyst design (selectivity, TOF) are automatically extracted from the latter.

 

Nanoreactor

Automated reaction discovery lies at the heart of predictive chemistry, enabling chemists to design chemical processes that are smarter, faster, cleaner, and more efficient. Nanoreactor – Elementary Reaction Network, a tool by Schrödinger, automates the identification of relevant elementary reactions starting from a known local minimum on the xTB potential energy surface (PES). Complementing this, Potential Energy Surface Sampling-Sorting enhances Nanoreactor’s capabilities by systematically exploring and ranking minima states on xTB (or DFT) PES. Since chemical reactions tend to follow the downhill path on the free energy surface, this feature focuses on pinpointing the most probable final products.

Desktop view of a nanoreactor graphic
Mobile view of a nanoreactor graphic

CREST GUI

CREST GUI panel offers access to various algorithms implemented in CREST 3.0, a utility and driver program for the semiempirical quantum chemistry package xTB.1,2 The program’s name originated as an abbreviation for Conformer – Rotamer Ensemble Sampling Tool as it was developed as a program for conformational sampling at the extended tight-binding level GFN-xTB. Since then several functionalities have been added to the code. In its current state, the program provides a variety of sampling procedures, for example for improved thermochemistry, or explicit solvation.

References:

  1. https://github.com/grimme-lab/xtb
  2. https://crest-lab.github.io/crest-docs/

Case studies & webinars

Discover how Schrödinger technology is being used to solve real-world research challenges.

Automated digital prediction of chemical degradation products

An automated workflow for rapid large-scale computational screening to meet the demands of modern catalyst development

Accelerating the Design of Asymmetric Catalysts with a Digital Chemistry Platform

Documentation & Tutorials

Get answers to common questions and learn best practices for using Schrödinger’s software.

Materials Science Documentation

Materials Science Panel Explorer

Quickly learn which Schrödinger tools are the best fit for your research.

Materials Science Tutorial

Nanoreactor

Learn to leverage the nanoreactor tool to explore chemical compound and reaction space without any prior knowledge of the reaction products.

Materials Science Tutorial

Microkinetic Modeling

Learn to generate a microkinetic model to study the activity of a heterogeneous catalyst for COO (carbon monoxide oxidation).

Materials Science Tutorial

Activation Energies for Reactivity in Solids and on Surfaces

Learn to model the transition state of a reaction of a small molecule on a surface via the nudged elastic band method.

Materials Science Tutorial

RxnProfiler for Polyethene Insertion

Calculate polyethylene insertion reaction barriers for a novel catalyst based on a template catalyst.

Materials Science Tutorial

Design of Asymmetric Catalysts with Reaction Network Enumeration Profiler

Use automated reaction workflow (AutoRXNWF) and related tools to design asymmetric molecular catalysts based on enantioselectivity

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Broad applications across materials
science research areas

Get more from your ideas by harnessing the power of large-scale chemical exploration and accurate
in silico molecular prediction.

Catalysis & Reactivity
Polymeric Materials
Pharmaceutical Formulations
Organic Electronics
Energy Capture & Storage
Consumer Packaged Goods

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.

Tutorials

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.

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