Chemical

• Technically Speaking Design of Experiments for Reverse Engineering FormulationsIn this Technically Speaking, discover the full potential of your experiments with our upcoming webinar on design of experiments (DOE). This 45-minute session demonstrates applications of DOE methods to responses that are characterized by a curve of correlated response values – even spectra.
• Video ORF GeneticsReimagining the production of growth factors with green chemistry.
• Video AmyrisStatistical workflows advance high-throughput, sustainable science at a lower cost.
• Data Insight Optimize Your Processes with Interactive Statistical ModelsLearn how to make sustainable, cost-effective, and data-driven decisions through model building.
• Data Insight Maximizing Insights, Minimizing Effort: Intuitive Data Visualization for Scientists and Engineers Explore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders.
• On-Demand Webinar Advancing R&D Transformation through Data-Driven Science and Design of ExperimentsLearn how change agents at Johnson Matthey developed a coalition of support for data-driven science.
• 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.
• Time to Innovate Synthomer: Making Data-Based Decisions in R&D and Manufacturing with Modern Design of ExperimentsJoin this webinar and learn how to get going with Design of Experiments (DOE), where to acquire DOE know-how during your adoption journey, and what to do to encourage others to follow.
• Data Insight Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
• On-Demand Webinar Make better data based decisions with Statistical Modelling TechniquesThis three-part workshop on statistical modelling techniques is geared towards scientists and engineers who are looking to make the most of their data and gain valuable insights as quickly as possible.
• Data Insight When Spreadsheets Are Not Enough: Get More out of Your DataLearn how to gain insight into the relationships in higher dimensional data, using integrated data management, dynamic graphs and statistics.
• Success Story NovozymesHow enterprise statistical enablement led to more reproducible research and bigger impact in the face of a changing planet.
• 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
• 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.
• Interview OmyaCraig DePorter on why analytics enablement means learning more with less.
• Interview NovozymesMarianne Toft on how statistics should be seen as a tool to enhance scientific expertise.
• Interview KemiraChemical engineer Meagan Walker shares her experience getting started with JMP.
• Interview INEOS CompositesStatistician Tom Bidwell discusses how the chemical industry is increasingly embracing statistics.
• Time to Innovate Fujifilm: Making better data-driven decisions in Science and EngineeringLilian Monahan from Fujifilm will share how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
• Time to Innovate Design experiments to be robust to input variationDuring the Ondemand, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.
• 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 Unit TestsOver the past 20 years, software developers have become increasingly interested in automated unit testing and the phrase unit testing framework has come to refer to the mechanism used to facilitate automated unit testing. Learn how JMP uses unit testing in its software development.
• On-Demand Webinar How to Model Complex, High-Dimensional Chemical SpectraJoin us as JMP Senior Global Enablement Engineer Bill Worley shows us a visual approach to chemometrics.
• 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 Analyzing spectral data: Modeling optionsJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash demonstrate several ways spectral data can be modeled in JMP.
• Article Analyzing spectral data: Multivariate methods and advanced pre-processingJMP Senior Systems Engineers Bill Worley and Data Scientist Jeremy Ash demonstrate the utility of the multivariate platforms in JMP..
• 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
• Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
• Time to Innovate Solvay: Industrial data science for chemical process perfectionJoin us for a JMP sponsored webinar with Solvay data scientist Francisco Navarro to learn how to better understand chemical processes
• 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 F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• Customer Story Parker LORDWhen early benchmarking proved that JMP could have potentially dramatic time saving benefits, employees led the way in changing the culture.
• Time to Innovate Imperial College: Teaching Design of Experiments to chemists: lessons from Imperial College LondonFirst-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
• 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
• 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 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 BASFChemists uncover a replacement for phosphates in dish detergent.
• 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 AnatuneChemists use DOE to design customized robotic solutions for chemical analysis.
• Customer Story AtotechEngineers use DOE to respond to the demands of a fast-paced industry.
• 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.
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• Customer Story Saint-Gobain NorProA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
• Abstract AstraZenecaSpeeding up assay development.
• Abstract TopsoeA mathematical model for evaluating catalyst performance.
• Abstract Symrise AGOptimizing fermentation via media component screening.