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International Conference on Predictive Modeling in Molecular Chemistry - (ICPMMC-26)

12th - 13th October 2026 , Philadelphia - USA

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Call For Papers

The (ICPMMC-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Theoretical Chemistry are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Predictive modeling in molecular chemistry
  • Machine learning applications in chemistry
  • Data-driven approaches to molecular prediction
  • Modeling chemical properties using AI
  • Predictive analytics for drug design
  • Computational methods for molecular simulations
  • Quantitative structure-activity relationship models
  • Predictive modeling of reaction outcomes
  • Molecular dynamics and predictive modeling
  • Statistical methods in chemical predictions
  • Integration of experimental and computational data
  • Uncertainty quantification in molecular modeling
  • Predictive models for material properties
  • Applications of deep learning in chemistry
  • Predictive modeling for environmental chemistry
  • Chemoinformatics and predictive analytics
  • Benchmarking predictive models in chemistry
  • Future trends in predictive modeling
  • Collaborative approaches in molecular predictions
  • Ethics in predictive modeling in chemistry

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

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