Results 91 to 100 of about 387 (144)

Thermodynamic model for methanesulphonic acid recovery by tri-<i>n</i>-butyl phosphate. [PDF]

RSC Adv
Lommelen R, Lempereur C, Binnemans K.
europepmc   +1 more source

Determination of the solubility of methyldopa in supercritical carbon dioxide for drug delivery applications: thermal analysis. [PDF]

Sci Rep
Wali AF, Sridhar SB, Talath S, Pillai JR, Shareef J, Bhupathyraaj M, Goud BKM, Hani U.   +7 more
europepmc   +1 more source

Membrane Flash Index: Powerful and Perspicuous Help for Efficient Separation System Design. [PDF]

ACS Omega, 2020
Toth AJ, Szilagyi B, Fozer D, Haaz E, Selim AKM, Szőri M, Viskolcz B, Mizsey P.   +7 more
europepmc   +1 more source

Surfactant representation using COSMO screened charge density for adsorption isotherm prediction using Physics-Informed Neural Network (PINN). [PDF]

J Cheminform
Alimin AA, Srasamran K, Yuenyong W, Charoensaeng A, Shiau BJ, Suriyapraphadilok U.   +5 more
europepmc   +1 more source

Evaluating the Effectiveness of Reference Solvent Solubility Calculations for Binary Mixtures Based on Pure Solvent Solubility: The Case of Phenolic Acids. [PDF]

Molecules
Cysewski P, Jeliński T, Rozalski R, Lesniewski F, Przybyłek M.   +4 more
europepmc   +1 more source

Effect of Blending Ratio and Temperature on CO₂ Solubility in Blended Aqueous Solution of Monoethanolamine and 2-Amino-2-methyl-propanol: Experimental and Modeling Study Using the Electrolyte Nonrandom Two-Liquid Model. [PDF]

ACS Omega, 2020
Choi BK, Kim SM, Lee JS, Park YC, Chun DH, Shin HY, Sung HJ, Min BM, Moon JH.   +8 more
europepmc   +1 more source

Modeling of CO₂ solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network. [PDF]

Sci Rep
Khoshraftar Z.
europepmc   +1 more source

HANNA: hard-constraint neural network for consistent activity coefficient prediction. [PDF]

Chem Sci
Specht T, Nagda M, Fellenz S, Mandt S, Hasse H, Jirasek F.   +5 more
europepmc   +1 more source

Development of SAFT-Based Coarse-Grained Models of Carbon Dioxide and Nitrogen. [PDF]

J Phys Chem B
Chremos A, Krekelberg WP, Hatch HW, Siderius DW, Mahynski NA, Shen VK.   +5 more
europepmc   +1 more source

Solvent Screening for Separation Processes Using Machine Learning and High-Throughput Technologies. [PDF]

Chem Bio Eng
Edaugal JP, Zhang D, Liu D, Glezakou VA, Sun N.   +4 more
europepmc   +1 more source