Chemical

• Video AmyrisStatistical workflows advance high-throughput, sustainable science at a lower cost.
• Article Why the making stuff mindset doesn't make senseDOE expert Phil Kay discusses how design of experiments, and a little planning, can help you run projects that are more efficient, predictable and deliver the data you need to make better decisions.
• On-Demand Webinar Johnson Matthey: Building organizational consensus around the tools of digital chemistryThis one-hour, webinar offers rare insight into how chemists and scientific leaders can more effectively work together to build consensus and lay the foundations for digital chemistry’s implementation.
• Partnership BASF + KU LeuvenHow BASF identified a gap in engineering education, then designed a course to fill it with KU Leuven.
• Success Story Novozymes HackathonHow Novozymes harnessed collaboration to spread analytic thinking across an organization.
• Success Story NovozymesHow enterprise statistical enablement led to more reproducible research and bigger impact in the face of a changing planet.
• Article Digitalisation is the future of science, just ask a bologistDOE expert Phil Kay discusses how digitalisation can help automate large and complex experiments, an idea chemists should borrow from their biologist friends.
• Article You Don't Need Coding to be a ChemistDOE expert Phil Kay says the job of today's chemist is less about making samples and more about generating data
• Interview KemiraChemical engineer Meagan Walker shares her experience getting started with JMP.
• Interview NovozymesMarianne Toft on how statistics should be seen as a tool to enhance scientific expertise.
• Interview INEOS CompositesStatistician Tom Bidwell discusses how the chemical industry is increasingly embracing statistics.
• Interview OmyaCraig DePorter on why analytics enablement means learning more with less.
• Data Insight How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
• Article Machine learning applications for chemical and process industriesIn this article, we explain industrial data science fundamentals and link them with commonly-known examples in process engineering. Then, we review industrial applications using state-of-art machine learning techniques.
• Article Unit TestsIn this article, we explain industrial data science fundamentals and link them with commonly-known examples in process engineering. Then, we review industrial applications using state-of-art machine learning techniques.
• Article Analyzing spectroscopic data: Pre-processingJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash describe how you can import, visualize, clean, and analyze spectroscopic data with JMP software.
• Interview HexionDan Fortune of Hexion on the symbiosis of chemistry and statistics, transitioning from Excel and finding inspiration at Discovery Summit.
• Statistically Speaking How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
• Customer Story DuPontInvesting in an analytics-capable workforce helps DuPont extract maximum value from its state-of-the-art digital factories.
• Customer Story PPG IndustriesThe democratization of statistical best practices compliments domain knowledge to speed innovation.
• Interview SyngentaPlatform Lead Dirk de Bruyn Ouboter on becoming an analytics ambassador.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Technically Speaking Design of Experiments With Mixtures: A Case Study in Plastics FormulationsIn this 30-minute webinar, Wendy Tseng will show you how mixture experiments can be used to accelerate formulation development, optimize product characteristics and minimize costs.
• Video Johnson MattheyBuilding organizational consensus around the tools of digital chemistry.
• Statistically Speaking Solving science and engineering problems with machine learningRolls-Royce, Tata Steel and SABIC innovate with machine learning and AI
• Statistically Speaking Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation
• Customer Story Johnson Matthey Fine ChemicalsAt Johnson Matthey, JMP is the ‘active ingredient’ in process optimization
• Customer Story AllnexText exploration helps researchers gain business insight from a vast quantity of patent data.
• Customer Story NovomerDesign of experiments helps streamline the development of catalyst technology.
• Customer Story Chemistry MattersData visualization helps forensic chemists explain evidence to judges, juries, law enforcement and environmental agencies.
• Customer Story SymriseFermentation specialists use design of experiments to perfect product development.
• Customer Story Eastman ChemicalJMP and JMP Pro allow a team of statisticians to interactively engage with their data and share insights with internal clients.
• Customer Story KodakKodak gets a boost from JMP in its drive for zero-defect performance.
• Customer Story Technical University of DenmarkAn analytical chemist uses DOE to develop a more comprehensive method to detect carcinogenic food processing contaminants.
• Customer Story BASFChemists uncover a replacement for phosphates in dish detergent.
• Customer Story AtotechEngineers use DOE to respond to the demands of a fast-paced industry.
• Customer Story AnatuneChemists use DOE to design customized robotic solutions for chemical analysis.
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• Customer Story Fujifilm Diosynth BiotechnologiesScientists use the Functional Data Explorer platform in JMP Pro to develop a cost-effective means to advance process knowledge in less time.