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Streamline registration, screening and the capture, analysis
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collaboration, accelerate decisions and improve the
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Companies in diverse industries including Consumer Packaged Goods, Oil & Gas, Chemicals, Pharmaceuticals, Automotive, and Aerospace are finding that innovation in materials science can lead to better performing, longer lasting, more efficient, and more environmentally friendly products. Harness the power of your materials data and innovate faster with Accelrys’ Experiment Knowledge Base.
Experiment Knowledge Base
Introducing the Experiment Knowledge Base –
Empowering Sustainable Materials Science
The Experiment Knowledge Base (EKB) by Accelrys is a Packaged Professional Services solution designed to guide materials experimentation by allowing users to intelligently plan, execute, analyze and manage experiments. EKB also extracts, transforms and loads data from previous experiments and other systems, thereby making laboratories more productive, more effective in developing innovative materials and more sustainable both environmentally and economically.
These benefits are delivered through:
Better, more robust experiment planning
Faster experiment execution
Expedited analysis of experimental data
Fewer repeat experiments
Extraction and collection of descriptive information from multiple data sources such as LIMS, Excel®, and databases
Identification and reuse of prior experimental results
Across the globe, laboratories engaged in chemically-based materials research and development face the constantly growing challenge of managing a variety of instruments and systems that create experimental data with varying degrees of effectiveness. Information generators are often mixed using instrument-specific data vaults, spreadsheets, LIMS systems, custom databases, and more. This heterogeneous approach to managing data makes it very difficult to establish trends, patterns, and relationships between experiments that ultimately make data valuable. The result is that scientists are unable to answer basic questions:
“What experiments have I already run using materials in this concentration?”
“What do the results tell us?”
“What experiments should I run next?”
This leads to up to 40% of all experiments being repeated needlessly resulting in an inability to learn from previous efforts and ultimately a waste of resources, time and money.
The Solution:
The Experiment Knowledge Base by Accelrys is a system that enables our customers to develop better materials, quickly and more efficiently with fewer resources. It achieves this by bringing together all aspects of experimentation into one system:
Planning – supports and enforces the use of statistically designed experiments to ensure that experiments are correlated with other similar experiments
Execution – tracks the step-by-step workflow of R&D-wide experiments, gathering data produced from instrument files, spreadsheets and databases, and eliminates manual piecing together of data
Analysis – provides algorithms for ad-hoc analysis of experimental data
Reporting – configurable report templates provide a breadth of reporting with integrated charting, scatter plots and interactive reporting
Mining and Knowledge Generation – builds correlative and predictive models to compare data across R&D scales (screening, bench-scale, pilot units) to provide statistical guidance on what experiments should be performed next
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