List of Gaussian Customers
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Since 2010, our global team of researchers has been studying Gaussian customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Gaussian for Chemistry Simulation from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Gaussian for Chemistry Simulation include: ExxonMobil, a United States based Oil, Gas and Chemicals organisation with 61000 employees and revenues of $339.25 billion, TotalEnergies, a France based Oil, Gas and Chemicals organisation with 100000 employees and revenues of $195.61 billion, National University of Singapore, a Singapore based Education organisation with 13167 employees and revenues of $3.00 billion and many others.
Contact us if you need a completed and verified list of companies using Gaussian, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Gaussian customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ExxonMobil | Oil, Gas and Chemicals | 61000 | $339.2B | United States | Gaussian | Gaussian | Chemistry Simulation | 2021 | n/a |
In 2021, ExxonMobil researchers affiliated with ExxonMobil Asia Pacific and ExxonMobil Research used Gaussian 16 for Chemistry Simulation to support materials and molecular R&D in the Singapore region. The deployment is documented in a Nature Communications paper where ExxonMobil co-authors reported density functional theory calculations as part of an integrated experimental and computational study of covalent organic framework growth. Gaussian 16 was used to perform DFT calculations to compute Gibbs energies and to map reaction pathways, leveraging electronic structure modeling and reaction pathway analysis capabilities common to advanced chemistry simulation tools. These Gaussian 16 outputs were explicitly used to compute Gibbs energies and characterize reaction pathways that supported experimental findings, providing materials characterization and growth mechanism elucidation. Operationally the application was embedded in ExxonMobil research workflows in Singapore, informing interpretation and validation of laboratory experiments and positioning Gaussian as a core Chemistry Simulation tool within ExxonMobil's molecular R&D activities in the Asia Pacific region.
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National University of Singapore | Education | 13167 | $3.0B | Singapore | Gaussian | Gaussian | Chemistry Simulation | 2021 | n/a |
In 2021, researchers at the National University of Singapore in the Department of Chemical and Biomolecular Engineering used Gaussian 16 as a Chemistry Simulation tool to perform density functional theory calculations reported in a Nature Communications study on 2D covalent organic framework growth mechanisms. The application Gaussian provided DFT-based structural models and energetics that directly supported the reported material growth experiments, single-crystal characterization, and mechanistic insight in the published results.
Gaussian 16 was employed to generate structural hypotheses and compute reaction energetics, reflecting core Chemistry Simulation workflows such as geometry optimization and energy profiling to evaluate growth pathways. Computational outputs from Gaussian were used to construct and validate structural models that informed experimental design and interpretation for materials and polymer chemistry research.
Operationally the use of Gaussian was embedded within academic research workflows in the Department of Chemical and Biomolecular Engineering at the National University of Singapore, supporting materials and polymer chemistry R&D and manuscript preparation for peer-reviewed publication. Governance and reproducibility practices were exercised through standard research protocols and inclusion of Gaussian-based calculations in the Nature Communications article, aligning computational chemistry outputs with experimental characterization and mechanistic reporting.
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TotalEnergies | Oil, Gas and Chemicals | 100000 | $195.6B | France | Gaussian | Gaussian | Chemistry Simulation | 2022 | n/a |
In 2022, TotalEnergies deployed Gaussian 16 at its Feluy research center on the Pangea supercomputer for Chemistry Simulation. The internship job listing explicitly states Gaussian 16 is installed, documenting enterprise use of Gaussian for materials and polymer R&D at the Belgium research site.
Gaussian is used for density functional theory workflows focused on polymerisation catalyst modelling, supporting computational chemistry activities such as electronic structure calculations, geometry optimization, and frequency analysis to inform experimental planning. The record identifies computational workflows that directly support catalyst design and experimental validation within the regional research site.
Operationally the Gaussian installation is integrated into the Pangea supercomputer environment at Feluy, indicating an HPC oriented deployment for batch compute and research orchestration for Chemistry Simulation workloads. The public listing further shows the software is part of lab to compute workflows and researcher training through internships, establishing procedural use patterns for materials and polymer research functions.
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