Progress in Aqueous Solution Modelling: Better Data and Better Interfaces

Rowland, Darren; May, Peter M.

doi:10.1007/s10953-019-00871-5

Cited by 4 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accurately predicting the thermodynamic and transport properties of complex electrolyte solutions containing many solutes, especially at moderate to high salt concentrations commonly encountered in water desalination and resource recovery applications, remains a major scientific challenge (Rowland & May, 2019). This challenge is compounded by the fact that the best available models, such as the Pitzer model (May et al, 2011), are difficult to implement on an as-needed basis and require looking up many parameters.…”

Section: Statement Of Needmentioning

confidence: 99%

pyEQL: A Python interface for water chemistry

Kingsbury

2024

JOSS

View full text Add to dashboard Cite

The properties and behavior of aqueous solutions -that is, water containing dissolved minerals and other solutes -are vital to understanding natural systems and to developing new technologies for water purification, wastewater treatment, and sustainable industrial processes (Stumm & Morgan, 1999). pyEQL provides object representations for aqueous solutions, creating a stable, intuitive, and easy to learn interface for calculating properties of solutions and dissolved solutes. Its purpose is to save researchers time by making a variety of different models accessible through a single interface and by aggregating hundreds of properties and model parameters into a built-in database. Statement of needAccurately predicting the thermodynamic and transport properties of complex electrolyte solutions containing many solutes, especially at moderate to high salt concentrations commonly encountered in water desalination and resource recovery applications, remains a major scientific challenge (Rowland & May, 2019). This challenge is compounded by the fact that the best available models, such as the Pitzer model (May et al., 2011), are difficult to implement on an as-needed basis and require looking up many parameters. Researchers and practitioners in fields such as water treatment and desalination, electrochemistry, or environmental engineering need accurate information about electrolyte solutions to perform their work, but are typically not specialists in solution chemistry or electrolyte thermodynamics.

show abstract

Section: Statement Of Needmentioning

confidence: 99%

pyEQL: A Python interface for water chemistry

Kingsbury

2024

JOSS

View full text Add to dashboard Cite

show abstract

“…The data migration is processed through codes to link this data with the tables linked between them in the Model for the first stage, as in the following See Fig (5,6).…”

Section: Processing Data Migrationmentioning

confidence: 99%

“…the model is made considering the clinical records, and patients are circled across three data sources (SQL, MongoDB, and succeed). for research, Large Information Mining Approaches in Cloud Frameworks, and address cloud-viable issues and processing procedures to advance Huge Information Mining in Cloud Frameworks [5] [6]. The Joint Master Detail Framework (JESS) is presented by the world's most noteworthy single wellspring of thermodynamic data about fluid electrolyte game plans.…”

Section: Introductionmentioning

confidence: 99%

Data Migration from Visual Basic Interfaces to Excel Tables Prevent Conflict Using Proposed Models

Hashim

2022

International Journal of Computational and Applied Mathematics &Amp; Computer Science

View full text Add to dashboard Cite

In relational and complex spreadsheets, relational and non-relational database models, high-speed data migration with scalable structure using visual Basic Excel programming language implementations with proposed migration model. One of the primary purposes behind making a point of interaction through the Visual Basic Application (VBA) is that most PC clients with logical preparation will currently know about Succeed and its significant capabilities (like arranging furthermore, plotting datasets). Even though Excel itself is in many cases utilized as an information storehouse by clients. The time factor, reliability, and credibility of migrating this data from one table to another through programming interfaces were measured using the link codes between the tables. In this paper, the migration and migration of homogeneous and heterogeneous data are investigated by using two types of different migration models of data to measure and match these data and the extent of their integration after migration. Specifies the target data for migration from the input tables in the Excel program to the target tables in larger databases. Furthermore, the two models (A, B) middleware provide an architecture that can be extended to support Relational database management systems (RDBMS) and other graphing databases. Experiments were performed using excel tables, both of which are related as source information bases, and as the data set for the source and target datasets, the migration time between these tables for the two models was calculated While retaining the same characteristics.

show abstract

The aqueous solution thermodynamics of tantalum under conditions of environmental and biological interest

Filella

May

2019

Applied Geochemistry

View full text Add to dashboard Cite

Progress in Aqueous Solution Modelling: Better Data and Better Interfaces

Cited by 4 publications

References 23 publications

pyEQL: A Python interface for water chemistry

pyEQL: A Python interface for water chemistry

Data Migration from Visual Basic Interfaces to Excel Tables Prevent Conflict Using Proposed Models

The aqueous solution thermodynamics of tantalum under conditions of environmental and biological interest

Contact Info

Product

Resources

About