The Foundations of Computer Aided Process Design (FOCAPD) Conference July 14-18, 2024 Beaver Run, Breckenridge, CO, USA
Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
The Foundations of Computer Aided Process Design (FOCAPD) Conference July 14-18, 2024 Beaver Run, Breckenridge, CO, USA
Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
2024 Brazil Student Regional Conference July 29 - August 2, 2024 Universidade Federal do Paraná, Curitiba, Paraná, Brazil
2024 International Mammalian Synthetic Biology Workshop (mSBW) August 6-7, 2024 George Sherman Union at Boston University, Boston, MA, USA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Suryateja Ravutla Citation name Ravutla, S. Affiliation Georgia Institute of Technology State GA Country USA Authored(104e) Efficient Optimization and Accurate Approximation Using Surrogate Models – Tools and Case Studies from RAPID Synopsis ProjectBianca WilliamsSun Hye KimMohammed Sadaf MonjurSuryateja RavutlaFani BoukouvalaSelen CremaschiFaruque HasanSimon LeylandJoannah Otashu2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(40f) Pyddsbb: A Python Package for Simulation-Optimization Using Data-Driven Branch-and-Bound TechniquesJianyuan ZhaiSuryateja RavutlaFani Boukouvala2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(234e) Global Convergence Analysis of Data-Driven Spatial Branch-and-Bound Algorithms Suryateja RavutlaFani BoukouvalaJianyuan Zhai2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(63c) A Simultaneous Material Screening and Process Optimization Approach for Carbon Capture Using Machine LearningFani BoukouvalaSuryateja RavutlaSun Hye KimHéctor Octavio Rubiera LandaMatthew Realff2023 Spring Meeting and 19th Global Congress on Process Safety (104a) Multi-Fidelity Surrogate Models to Generate Low-Fidelity Data for Data-Driven Branch-and-Bound OptimizationSuryateja RavutlaFani Boukouvala2023 Spring Meeting and 19th Global Congress on Process Safety (347b) Sampling-Based Vs. Surrogate-Based Techniques for Data-Driven Optimization: A Comparative Study of Adaptive Sampling and Hybrid-Modeling ApproachesZachary KilweinSuryateja RavutlaFani Boukouvala2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2021 Annual Meeting 2022 Annual Meeting 2023 Spring Meeting and 19th Global Congress on Process Safety 2023 AIChE Annual Meeting
