March 08, 2019 software-paper Open access GPdoemd: A Python package for design of experiments for model discrimination Computers & Chemical Engineering DOI: 10.1016/j.compchemeng.2019.03.010 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 25 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Development of a holistic Python package for optimal selection of experimental design criteria in kinetic model discrimination 2023 Computer-aided chemical engineering/Computer aided chemical engineering software-paper Decision Sciences Optimal Experimental Design Methods 4 citations Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty 2021 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access 0 citations 2 results References 0