2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Yoshiaki Kawajiri Citation name Kawajiri, Y. Affiliation Nagoya University State 23 Country Japan Authored(219b) Hierarchical Bayesian Estimation for Adsorption Isotherm Parameter Determination and Applications to CO2 captureChunkai ShihJongwoo ParkMatthew RealffTomoyuki YajimaYoshiaki KawajiriDavid S. Sholl2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)(454d) Integrating Material and Process Design for Kinetic SeparationYoshiaki KawajiriTrisha SenMatthew Realff2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)(180d) Parameter Estimation from Operation Data for Simulated Moving Bed ChromatographyYoshiaki KawajiriTomoyuki YajimaKensuke SuzukiHideki HaradaKohei SatoKazuo OkadaMasaki Tsuruta2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(408h) Modeling Hysteretic Isotherms and Parameter Estimation for Pressure Swing Adsorption Process Using Gate-Opening Metal-Organic FrameworksYuya TakakuraSaeki SugimotoTomoyuki YajimaYoshiaki KawajiriHiroshi Kajiro2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(545b) Modeling of Nucleation, Growth, and Dissolution Kinetics of Paracetamol from Ethanol Solution for Unseeded Batch Cooling Crystallization with Temperature Cycling StrategyYoungjo KimRonald RousseauYoshiaki KawajiriMartha Grover2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)(675c) Quantification of Variations in Experimental and Molecular Simulation Data for CO2 Adsorption Isotherm By Hierarchical Bayesian Estimation.Sotaro KojimaYoshiaki KawajiriJongwoo ParkDavid ShollTomoyuki YajimaMatthew RealffJunpei Fujiki2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(412c) Parameter Estimation of Chromatography By Bayesian Inference Using Two Monte Carlo MethodsZiting YuanYoshiaki KawajiriYota YamamotoTomoyuki Yajima2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(412h) Uncertainty Propagation from Batch Experiment Parameters Towards Prediction of Continuous Chromatographic ProcessYoshiaki KawajiriKensuke SuzukiTomoyuki YajimaYota Yamamoto2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(674d) Parameter Estimation for Reactive Chromatography Model By Bayesian Inference and Parallel Sequential Monte CarloHikari SugiyamaYota YamamotoKensuke SuzukiTomoyuki YajimaYoshiaki Kawajiri2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(647f) Evaluation of Adsorbent Performance By Optimal Temperature Swing Adsorption ProcessYuchi SugiuraYoshiaki KawajiriTomoyuki Yajima2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(524a) Estimation and Statistical Analysis of Model Parameters Using Sequential Monte Carlo for Stepwise Injection Experiment for Preparative ChromatographyYota YamamotoZiting YuanKensuke SuzukiTomoyuki YajimaYoshiaki Kawajiri2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(500f) Process Modeling and Design for Methanol Synthesis Using Membrane Reactor and Vacuum Pressure Swing AdsorptionAkihide WakitaTomoyuki YajimaYoshiaki KawajiriYuta NishikawaKohei YoshikawaNobuyuki Shigaki2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(569ex) A Comparative Study of Parameters Estimation of Ammonia Synthesis Reaction Rates over Co/Ba/MgO CatalystMostafa ElshafieTomoyuki YajimaShoichi TsudaKatsutoshi SatoKoji InazuKatsutoshi NagaokaYoshiaki Kawajiri2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)(493f) Efficient Simulation of Simulated Moving Bed Chromatography By Physics-Informed Neural NetworkTao ZouTomoyuki YajimaYoshiaki Kawajiri2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6) Associated proceedings 2018 AIChE Annual Meeting 2019 AIChE Annual Meeting 2020 Virtual AIChE Annual Meeting 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting 2024 AIChE Annual Meeting
