January 16, 2020

Data Fusion vs Mixture of Approximators to Handle Training Datasets of Low and High Fidelity

This tech tip demonstrates some aspects of Data Fusion tool and MoA technique capabilities to handle training datasets of low and high fidelity.

Yulia Bogdanova, Application Engineer, DATADVANCE

January 13, 2020

DATADVANCE is Referenced on Datadock Database of Vocational Training Providers

DATADVANCE is acknowledged to meet the quality criteria defined by French government for vocational training organisations, and is now referenced on Datadock. Referencing on Datadock is mandatory to reimburse any professional training in France.

January 9, 2020

Automated Determination of the Validity Domain for Approximation Models

In this tech tip, we describe the usage of the InputDomainType option, which allows limiting the input design space to avoid incorrect function predictions in the area outside the training domain.

By Yulia Bogdanova, Application Engineer, DATADVANCE

November 20, 2019

Optimization and Prediction of Microstructure Properties for Lithium-Ion Secondary Batteries

Optimization of lithium-ion batteries microstructure to improve their overall performance and using Data Fusion to build accurate predictive models of battery properties for different applications without heavy simulations.

by Kenta Aoshima, SCSK Corporation, translated from Japanese by Yulia Bogdanova, DATADVANCE