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

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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

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Automatic workflow to calculate dielectric properties and refractive index

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Automatic workflow for accurate prediction of reactivity and catalysis

Publications

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

Materials Science
Understanding the binding interaction mechanism of i-motif with fluorophores: A biophysical approach
Materials Science
Probing the photostability of avobenzone with N-acetylcysteine using UV spectroscopy, computational studies and integration into aloe vera gel
Materials Science
Predicting Emission in Substituted N-Alkyl Carbazoles to Create New Mechanoluminescent Molecules
Life Science
In silico enabled discovery of KAI-11101, a preclinical DLK inhibitor for the treatment of neurodegenerative disease and neuronal injury
Materials Science
Structural investigation, quantum chemical calculation, energy framework analysis and MIC studies of silver and cobalt complexes of 4-amino-N-(4, 6-dimethyl-2 pyrimidinyl) benzenesulfonamide in presence of secondary ligand
Materials Science
Pd(II) and Rh(I) Catalytic Precursors for Arene Alkenylation: Comparative Evaluation of Reactivity and Mechanism Based on Experimental and Computational Studies
Materials Science
Rhodium-Catalyzed Alkenylation of Arenes with Multi-Substituted Olefins: Comparison of Selectivity and Reaction Rate as a Function of Olefin Identity
Materials Science
Partial Oxidation of Methane Enabled by Decatungstate Photocatalysis Coupled to Free Radical Chemistry
Materials Science
Microwave-assisted Cu(i)-catalyzed one-pot tandem synthesis of pyridoimidazole-fused quinolines as new antimycobacterial agents: DFT and ESI-HRMS study
Materials Science
Rational Ligand Design of Heteroleptic Iridium (III) Complexes toward Nearly Perfect Horizontal Dipole Orientation for Highly Efficient Red-Emitting Phosphorescent Organic Light-Emitting Diodes

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.