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June 20, 2026The European Physical Journal Special TopicsOpen Access

Pickering emulsions revisited: interfacial stability, particle geometry, and emerging predictive strategies

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Authors

NANamrah AzmiBCBruno Telli CeccatoAKAlexsandro Kirch

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Overview

Review highlights the formulation challenges and predictive strategies for Pickering emulsions addressing stability and functionality.

Key Points

  • The central aim is to explore the physical principles and predictive strategies of Pickering emulsions, emphasizing formulation challenges.
  • Review of fundamental physics governing Pickering emulsions with focus on particle properties, interfacial dynamics, and processing conditions.
  • Discussion of classical analytical models and simulation techniques like MD, DPD, and LBM, including their limitations.
  • Assessment of how AI and machine learning methods can be adapted for particle-stabilized systems.
  • Identified key challenges faced in emulsion stability related to particle geometry and interfacial structure.
  • Highlighted limitations of current theoretical models in addressing multiscale phenomena among Pickering emulsions.
  • Discussed potential for AI to enhance predictive strategies in particle-stabilized emulsion systems.

Cite This Study

Azmi et al. (2026) studied this question.

synapsesocial.com/papers/6a363040db0793dc1a5376c2https://doi.org/10.1140/epjs/s11734-026-02363-2
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