Call For Papers
The ICPMMC aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Theoretical Chemistry, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
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
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.