[2602.23887] Uncovering sustainable personal care ingredient combinations using scientific modelling

[2602.23887] Uncovering sustainable personal care ingredient combinations using scientific modelling

arXiv - AI 3 min read

About this article

Abstract page for arXiv paper 2602.23887: Uncovering sustainable personal care ingredient combinations using scientific modelling

Physics > Chemical Physics arXiv:2602.23887 (physics) [Submitted on 27 Feb 2026] Title:Uncovering sustainable personal care ingredient combinations using scientific modelling Authors:Sandip Bhattacharya, Vanessa da Silva, Christina Kohlmann View a PDF of the paper titled Uncovering sustainable personal care ingredient combinations using scientific modelling, by Sandip Bhattacharya and 2 other authors View PDF Abstract:Personal care formulations often contain synthetic and non-biodegradable ingredients, such as silicone and mineral oils, which can offer a unique performance. However, due to regulations like the EU ban of Octamethylcyclotetrasiloxane (D4), Decamethyl-cyclopentasiloxane (D5), Dodecamethylcyclohexasiloxane (D6) already in effect for rinse off and for leave on cosmetics by June 2027 coupled with growing consumer awareness and expectations on sustainability, personal care brands face significant pressure to replace these synthetic ingredients with natural alternatives without compromising performance and cost. As a result, formulators are confronted with the challenge to find natural-based solutions within a short timeframe. In this study, we propose a pioneering approach that utilizes predicting modelling and simulation-based digital services to obtain natural-based ingredient combinations as recommendations to commonly used synthetic ingredients. We will demonstrate the effectiveness of our predictions through the application of these proposals in specific for...

Originally published on March 02, 2026. Curated by AI News.

Related Articles

Llms

World models will be the next big thing, bye-bye LLMs

Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] Got my first offer after months of searching — below posted range, contract-to-hire, and worried it may pause my search. Do I take it?

I could really use some outside perspective. I’m a senior ML/CV engineer in Canada with about 5–6 years across research and industry. Mas...

Reddit - Machine Learning · 1 min ·
Machine Learning

[Research] AI training is bad, so I started an research

Hello, I started researching about AI training Q:Why? R: Because AI training is bad right now. Q: What do you mean its bad? R: Like when ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[P] Unix philosophy for ML pipelines: modular, swappable stages with typed contracts

We built an open-source prototype that applies Unix philosophy to retrieval pipelines. Each stage (PII redaction, chunking, dedup, embedd...

Reddit - Machine Learning · 1 min ·
More in Machine Learning: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime