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Uniting laboratory automation, DoE data, and modeling techniques to accelerate chemical process development
9 references·1 citing·26 second hop
Uniting laboratory automation, DoE data, and modeling techniques to accelerate chemical process development (2019)Uniting laboratory automation, DoE data, …High-Throughput Automation in Chemical Process Development (2017)High-Throughput Automation in…High-Throughput Automated Design of Experiment (DoE) and Kinetic Modeling to Aid in Process Development of an API (2017)High-Throughput Automated Des…Positioning and Power in Academic Publishing: Players, Agents and Agendas (2016)Positioning and Power in Acad…Dynamic Response Surface Models: A Data-Driven Approach for the Analysis of Time-Varying Process Outputs (2016)Dynamic Response Surface Mode…Analysis of Design of Experiments with Dynamic Responses (2015)Analysis of Design of Experim…Efficiency by Design: Optimisation in Process Research (2001)Efficiency by Design: Optimis…DOE (Design of Experiments) in Development Chemistry: Potential Obstacles (2001)DOE (Design of Experiments) i…Design and Optimization in Organic Synthesis (1992)Design and Optimization in Or…Book Review: Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building (1979)Book Review: Statistics for E…Automation Technologies to Enable Data-Rich Experimentation: Beyond Design of Experiments for Process Modeling in Late-Stage Process Development (2021)Automation Technologies to En…Statistics for Experimenters (1979)Ligand and solvent selection in challenging catalytic reactions (2014)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Modeling and optimization I: Usability of response surface methodology (2006)Kinetic and Data-Driven Reaction Analysis for Pharmaceutical Process Development (2019)Opportunities and Challenges for Statisticians in Advanced Pharmaceutical Manufacturing (2019)On the Experimental Attainment of Optimum Conditions (1951)Design of Experiments (DoE) and Process Optimization. A Review of Recent Publications (2014)Multivariate Analysis and Statistics in Pharmaceutical Process Research and Development (2017)Using prior parameter knowledge in model‐based design of experiments for pharmaceutical production (2020)Bias in peer review (2012)Open Science: One Term, Five Schools of Thought (2013)Does it take too long to publish research? (2016)KBase: The United States Department of Energy Systems Biology Knowledgebase (2018)Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019)Topic Modeling in Management Research: Rendering New Theory from Textual Data (2019)An Integrated Approach Combining Reaction Engineering and Design of Experiments for Optimizing Reactions (2004)Design of Experiments for Nanocrystal Syntheses: A How-To Guide for Proper Implementation (2022)Undergraduate Business Internships and Career Success: Are They Related? (2000)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Constructing Efficient Stated Choice Experimental Designs (2009)New paradigms for exploiting parallel experiments in Bayesian optimization (2022)The SiLA 2 Manager for rapid device integration and workflow automation (2022)D-optimal designs (1995)Bioprocess optimization using design‐of‐experiments methodology (2008)
this work references cited by second hop

References

  • 2016Positioning and Power in Academic Publishing: Players, Agents and Agendas1,027 cited
  • 1979Book Review: Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building692 cited
  • 1992Design and Optimization in Organic Synthesis406 cited
  • 2017High-Throughput Automation in Chemical Process Development125 cited
  • 2001Efficiency by Design: Optimisation in Process Research75 cited
  • 2001DOE (Design of Experiments) in Development Chemistry: Potential Obstacles67 cited
  • 2017High-Throughput Automated Design of Experiment (DoE) and Kinetic Modeling to Aid in Process Development of an API50 cited
  • 2016Dynamic Response Surface Models: A Data-Driven Approach for the Analysis of Time-Varying Process Outputs42 cited
  • 2015Analysis of Design of Experiments with Dynamic Responses32 cited

Cited by

  • 2021Automation Technologies to Enable Data-Rich Experimentation: Beyond Design of Experiments for Process Modeling in Late-Stage Process Development24 cited

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