May 14th, 2020 – Designing home & personal care products
USA : 2 PM EST
EUROPE : 10 AM CET
FREE WEBINAR

Designing home & personal care products

INDUSTRY

  • Home & Personal care
  • Specialty chemicals
  • Fragrance & flavors industry
  • Pharmaceutical & agrochemicals

THE CHALLENGES

  • Design bio-sourced products
  • Improve product performance
  • Optimize product formulation

THE WORK

  • Build reliable digital twins of products of interest
  • Predict critical micelle concentration
  • Construct Machine Learning models
  • Analyze and interpret the results

THE RESULTS

  • Screen surfactants & create alternatives
  • Selection of best performing material
  • Identification of lead candidate and optimization of target property

As a large, rapidly expanding and increasingly diverse market, personal care chemicals represent special challenges for companies. Today’s consumers want more, they want quality and they want it now. But opportunities are evident as well, driven by an increasingly ageing population and new markets such as bio-based care products. Additionally, they need to reduce the environmental impact of their products while ensuring that innovation is a growth driver.

In this webinar we will present how SCIENOMICS technology can help in Product Development, by identifying new delivery solutions, predicting the stability of formulations and estimating the efficiency of various components such as surfactants in changing environments.

Additionally, we will show how Innovative Research can be achieved in the case where the objective is to replace traditional compounds by bio- based chemicals, ensuring sustainability in agreement with environmental standards.

Anyone interested in surfactants, detergents, perfumes, emulsions, etc. will benefit from this free webinar and Q&A session. We will be pleased to have you with us!


The examples presented will demonstrate how to translate a real-life problem in a simulation strategy applied on the digital twin of the product of interest. In particular:

  • Improving detergents by predicting performance of surfactants
  • Apply Machine Learning-technics to derive a new bio-source formulation
  • Machine Learning model for predicting critical micelle concentration.

Register to our webinar

 

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