Issue Date | Title | Author(s) |
8-Sep-2021 | A design centering methodology for probabilistic design space | Kusumo, KP; Morrissey, J; Mitchell, H; Shah, N; Chachuat, B, et al |
26-Nov-2019 | Bayesian approach to probabilistic design space characterization: a nested sampling strategy | Kusumo, KP; Gomoescu, L; Paulen, R; García Muñoz, S; Pantelides, CC, et al |
4-Jan-2020 | Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling | Kucherenko, S; Giamalakis, D; Shah, N; García-Muñoz, S; |
13-Dec-2016 | Development of Predictive Models of the Kinetics of a Hydrogen Abstraction Reaction Combining Quantum-Mechanical Calculations and Experimental Data | Diamanti, A; Adjiman, CS; Piccione, PM; Rea, AM; Galindo, A, et al |
8-Apr-2020 | Hybrid mechanistic-empirical approach to the modeling of twin screw feeders for continuous tablet manufacturing | Bascone, D; Galvanin, F; Shah, N; Garcia-Munoz, S; |
7-Jul-2019 | Hybrid QSPR models for the prediction of the free energy of solvation of organic solute/solvent pairs | Borhani, T; Garcia-Munoz, S; Luciani, C; Galindo, A; Adjiman, C, et al |
29-Mar-2021 | Liquid phase peptide synthesis via one‐pot nanostar sieving (PEPSTAR) | Yeo, J; Peeva, L; Chung, S; Gaffney, P; Kim, D, et al |
21-Jul-2020 | Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulfuric and carbonic acid | Kohns, M; Lazarou, G; Forte, E; Perdomo Hurtado, F; Kournopoulos, S, et al |
20-Jan-2022 | Risk mitigation in model-based experiment design: a continuous-effort approach to optimal campaigns | Kusumo, K; Kuriyan, K; Vaidyaraman, S; Garcia Munoz, S; Shah, N, et al |
Feb-2022 | The metabolomic effects of tripeptide gut hormone infusion compared to Roux-en-Y gastric bypass and caloric restriction | Sands, C; Alexiadou, K; Minnion, J; Tharakan, G; Behary, P, et al |