Jaguar for Materials Science

Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties

Jaguar for Materials Science

Structure prediction of molecular systems at unmatched speed

Jaguar is a well-validated, robust, high-performance quantum mechanics package that specializes in fast predictions of electronic structure and properties for molecular systems of all sizes via the use of pseudospectral density functional theory (PS-DFT) based method which scales favorably with system size.

Jaguar can also be used for the ab initio-assisted design and high throughput virtual screening of new materials solutions with novel or enhanced properties for a variety of applications such as catalysts, batteries, organic electronics, and more.

Key Capabilities

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Perform a wide range of QM calculations

Including geometry optimization, transition state search, thermo-chemical properties, implicit solvation, spectra prediction, and more

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Access a diversity of DFT functionals

With analytic second derivatives and dispersion corrections

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Speed up calculations at a negligible loss of accuracy

Using the optional pseudospectral approximation

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Use automated workflows for advanced analysis

Including pKa prediction, conformationally-averaged VCD and ECD spectroscopy, tautomer generation and ranking, heat of formation, etc.

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Generate publication-quality 3D surfaces

Including molecular orbitals, electrostatic potential projected on isodensity, spin density, non-covalent interactions, etc.

Case Studies

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

Innovation in atomic-level processing with atomistic simulation and machine learning

De Novo design of hole-conducting molecules for organic electronics

Accelerating the design and optimization of OLED materials using active learning

Jaguar Datasheet for Materials Science

Learn more about the technical details of Jaguar and its applications.

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
Energy Capture & Storage
Organic Electronics

Documentation & Tutorials

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

Life Science Tutorial

Computational Ellipsometry

Learn how to compute the refractive index and extinction coefficient of systems of organic optoelectronics.

Materials Science Tutorial

Introduction to Geometry Optimizations, Functionals and Basis Sets

Perform geometry optimizations on simple organic molecules and learn basics regarding functionals and basis sets.

Materials Science Tutorial

Singlet-Triplet Intersystem Crossing Rate

Learn to compute the singlet-triplet intersystem crossing rate for a system of organic optoelectronics.

Materials Science Tutorial

Modeling the Formation and Decomposition of Nitrosamines

Tutorial that explains how to understand the formation and decomposition of Nitrosamines.

Materials Science Tutorial

Singlet Excitation Energy Transfer

Learn to compute the singlet excitation energy transfer on an organic molecule and analyze the results.

Life Science Tutorial

NMR Spectra Prediction

Learn to predict nuclear magnetic resonance (NMR) spectra.

Materials Science Tutorial

NMR Spectra Prediction

Learn to predict nuclear magnetic resonance (NMR) spectra.

Materials Science Tutorial

pKa Predictions with Jaguar pKa

Predict the pKa of organic molecules with more than one acidic functional group.

Materials Science Tutorial

Introduction to Multistage Quantum Mechanical Workflows

Utilize the Quantum Mechanical (QM) Multistage panel to prepare an automated QM workflow.

Materials Science Documentation

Materials Science Panel Explorer

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

Related Products

Learn more about the related computational technologies available to progress your research projects.

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Design solution for novel molecular materials in optoelectronic applications based on a generative algorithm

AutoTS

Automatic workflow for locating transition states for elementary reactions

MS Mobility

Atomistic simulation and analysis of charge mobility in solid-state films of organic semiconductors

MS Dielectric

Automatic workflow to calculate dielectric properties and refractive index

MS Reactivity

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

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Life Science Webinar

Chinese Webinar: 薛定谔中文讲座:DLK在计算机辅助药物设计中的案例研究 ,网络讲座录制 计算机驱动用于治疗神经退行性疾病的高效、高选择性和穿透脑血屏障的DLK抑制剂的发现

双亮氨酸拉链激酶(DLK)(又名MAP3K12)是混合系谱激酶(MLK)家族的成员,它包含一个N-末端激酶结构域,后面跟着两个亮氨酸拉链结构域以及一个富含甘氨酸/丝氨酸/脯氨酸的C-末端结构域。它主要在神经元细胞中表达,特别是在神经元的突触末端和轴突中

Materials Science Webinar

In silico materials development: Integrating atomistic simulation into academic chemistry and engineering labs

In this webinar, we explore Schrödinger’s leading physics-based and machine learning computational technologies and provide a comprehensive introduction to the capabilities of computational modeling in chemistry, materials science, and engineering.

Life Science Webinar

In silico enabled discovery of KAI-11101, a potent, selective, and brain-penetrant DLK inhibitor for the treatment of neurodegenerative diseases

In this webinar, we detail the program led by Schrödinger Therapeutics Group to discover a novel, potent, selective, and brain-penetrant DLK inhibitor (KAI-11101).

Life Science Webinar

Beyond the Lab: Unleashing the Potential of In Silico Modeling in Drug Product Formulation

In this webinar, we explore Schrödinger’s leading molecular modeling and machine learning platform.

Materials Science White Paper

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

Life Science Case Study

High precision, computationally-guided discovery of highly selective Wee1 inhibitors for the treatment of solid tumors

Materials Science Webinar

Progress in understanding atomic level processing at the atomic scale

In this webinar, we dip into stories about how simulations have advanced our understanding of the growth mechanisms of ALD, and lately of ALE too.

Life Science Case Study

Schrödinger solutions for small molecule protonation state enumeration and pKa prediction

Life Science Webinar

Into the Clinic: Developing potent and selective kinase inhibitors using at-scale FEP and protein FEP: a Wee1 case study

In this webinar, we discuss the discovery of novel Wee1 kinase inhibitors using a strategy that couples ligand free energy calculations with protein free energy calculations to simultaneously find promising chemical matter and de-risk for off-target liabilities.

Life Science Case Study

Morphic Therapeutic leverages digital chemistry strategy to design a novel small molecule inhibitor of α4β7 integrin

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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