Year: 2025
Type: article
Abstract: Artificial Intelligence and machine learning are accelerating innovation across cosmetic chemistry from rapid discovery of safe ingredients and predictive formulation design to personalized skincare, digital diagnostics, and sustainable alternatives to hazardous chemicals.This paper reviews current AI methods used in cosmetic R&D and product development, summarizes industry use-cases, discusses regulatory and ethical constraints, and presents a novel integrated framework that combines generative molecular design, physics-informed predictive models, and explainable AI for regulatory acceptance and sustainabilitydriven design.We conclude with open challenges and prioritized research directions to guide future work bridging chemical science, data science, and regulation.
Authors: Tanzeer Ahmad Dar, Junaid Ul Ahsan, Aarif Majeed, Nazir Ahmad Mala, Surya Uthrapthi, Sumaira Shamim
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4417264352