International Conference on Predictive Modeling in Molecular Chemistry ICPMMC

Call For Papers

The ICPMMC bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Theoretical Chemistry , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event