Flexible and powerful solutions designed to solve
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specific to scientific disciplines,
processes or industry.



Energy Industry

Whether for conventional energy sources like oil and gas, nuclear, or green energy alternatives, Accelrys software helps you to discover new materials, improve device performance, and increase process efficiency. With mounting pressure to both innovate and keep costs down, the challenges faced by the energy industry today are the subject of both internal and public scrutiny. Accelrys software can help you improve refining processes, increase the efficiency of batteries and fuel cells, streamline your research environment, and make better decisions.

Customize an integrated R&D platform built around Accelrys' Pipeline Pilot scientific operating platform, Materials Studio advanced data modeling and simulation environment, Accelrys Electronic Lab Notebook enterprise electronic laboratory notebook, and Lab Execution and Analysis Software.

With these products, you can:

Improve the efficiency of oil and gas processes. For example:

    • Minimize the corrosive effect of sulfur in the plant process and comply with environmental standards by optimizing the reaction processes and properties needed for successful deSOx systems and compound removal (e.g., hydrogen sulfide, mercaptans and thiophenes)
    • Design improved catalysts and refinery processes by elucidating reaction mechanisms and predicting thermodynamic and kinetic properties
    • Prevent pipeline buildup, combat scaling, and reduce pipeline downtime by using studying mechanisms of crystal growth and inhibition, and designing improved inhibitors for specific materials
    • Better track and manage exploration and production efforts by integrating vast quantities of data coming from different sources, such reservoir simulations, seismic imaging, and well design
    • Empower experimentalists with user-friendly, web-based computational workbenches that can be used to supplement lab work, pre-screen compounds (e.g. polymers), interpret analytical data (e.g. NMR), and manage experimental data (e.g. catalyst synthesis processes)

Develop and improve alternative energy sources. For example:

    • Increase fuel cell efficiency with improved oxygen activation catalysts
    • Extend battery lifetime by studying lithium-ion battery electrolyte additives and solid-electrolyte interphase (SEI) formation
    • Decrease fuel cell sensitivity to environmental changes by studying the effects of water content in fuel cell membranes
    • Produce more energy from sunlight by studying dye-sensitized solar cells
    • Increase hydrogen storage capacity by developing metal organic frameworks (MOF)

Streamline your research environment and improve decision making. For example:

    • Save time by creating computational workflows that you can automate, reuse and share
    • Complete R&D projects up to 10X faster by leveraging existing research and intellectual property
    • Reduce direct research costs by developing models for formulation discovery based on predictive science
    • Uncover insights hidden in your data by automating the aggregation and processing of massive volumes of structured and unstructured data on a single processing platform
    • Improve decision making with real-time reporting dashboards that provide centralized access to detailed experiment results and project status updates
    • Reduce R&D support costs by integrating disconnected software, databases, and instruments in a plug-and-play environment
    • Improve efficiency and collaboration by moving paper-based documentation to electronic workflows where scientific know-how is accessible, searchable and reusable

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