Registration summary
ConferenceICPMMC
ModeStandard / Physical
ParticipationListener
Registration fee$195.00
Bank charges (5.8%)$11.31
Total payable$206.31
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICPMMC conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Predictive Modeling Techniques +
This track focuses on the latest methodologies in predictive modeling within molecular chemistry. Emphasis will be placed on innovative algorithms and their applications in chemical property prediction.
02 Machine Learning Applications in Theoretical Chemistry +
This session explores the integration of machine learning techniques in theoretical chemistry. Participants will discuss case studies demonstrating the effectiveness of these approaches in molecular simulations.
03 Quantitative Structure-Activity Relationships (QSAR) +
This track delves into the development and validation of QSAR models for predicting chemical properties. Discussions will highlight recent advancements and challenges in this vital area of chemoinformatics.
04 Molecular Simulations and Their Applications +
This session will cover various molecular simulation techniques used to predict reaction mechanisms and molecular behavior. Attendees will share insights on the accuracy and efficiency of these simulations.
05 Data-Driven Approaches in Chemical Informatics +
This track emphasizes the role of data-driven modeling in enhancing chemical informatics. Presentations will focus on the use of large datasets to improve predictive accuracy and model robustness.
06 Computational Tools for Molecular Property Optimization +
This session will showcase computational tools designed for optimizing molecular properties. Participants will discuss the latest software and methodologies that facilitate property enhancement.
07 Algorithm Development for Chemical Predictions +
This track focuses on the development of novel algorithms aimed at improving chemical property predictions. Researchers will present their findings on algorithm efficiency and applicability.
08 Quantum Chemistry Calculations in Predictive Modeling +
This session will explore the integration of quantum chemistry calculations into predictive modeling frameworks. Discussions will highlight the impact of quantum methods on the accuracy of predictions.
09 Model Validation and Performance Assessment +
This track addresses the critical aspects of model validation in predictive modeling. Participants will discuss methodologies for assessing model performance and reliability.
10 Innovations in Chemical Engineering through Predictive Models +
This session will explore how predictive modeling is transforming chemical engineering practices. Case studies will illustrate the practical applications of theoretical models in engineering solutions.
11 Future Directions in Computational Chemistry +
This track will examine emerging trends and future directions in computational chemistry. Experts will discuss the potential impact of new technologies and methodologies on the field.
