Important Dates
Early Bird Registration :4th February 2027
Paper Submission Deadline :9th February 2027
Last Date of Registration : 19th February 2027
Date of Conference : 6th - 7th March 2027
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 3 — Good Health and Well-being
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
Track 01
Advancements in Insilico Materials Chemistry
This track focuses on the latest developments in insilico methodologies for materials chemistry. Participants will explore computational techniques that enhance the design and optimization of novel materials.
Track 02
Databases for Chemical Structure Representation
This session will delve into the creation and utilization of databases for chemical structure representation. Emphasis will be placed on the integration of data management systems with computational tools.
Track 03
Molecular and Homology Modelling Techniques
This track will cover advanced molecular and homology modelling techniques used in materials chemistry. Discussions will include the challenges and solutions in accurately predicting molecular structures.
Track 04
Docking and Screening in Material Design
This session will focus on the application of docking and screening methodologies in the discovery of new materials. Participants will examine case studies that highlight the effectiveness of these techniques.
Track 05
Target Prediction in Materials Chemistry
This track will explore innovative approaches to target prediction within the realm of materials chemistry. The session aims to facilitate discussions on computational strategies that enhance predictive accuracy.
Track 06
Quantitative Structure-Activity Relationship Models
This session will address the development and application of quantitative structure-activity relationship models in materials research. Participants will discuss the implications of these models for predicting material properties.
Track 07
ADME Testing in Insilico Chemistry
This track will focus on the importance of ADME (Absorption, Distribution, Metabolism, and Excretion) testing in the context of insilico materials chemistry. The session will highlight methodologies for assessing the pharmacokinetic properties of new materials.
Track 08
Combinatorial Chemistry Approaches
This session will explore the role of combinatorial chemistry in the rapid discovery of new materials. Participants will discuss innovative strategies for synthesizing and screening large libraries of compounds.
Track 09
Machine Learning Applications in Materials Chemistry
This track will investigate the integration of machine learning techniques in materials chemistry. Discussions will focus on how these technologies can enhance predictive models and streamline material discovery processes.
Track 10
Nanomaterials and Insilico Design
This session will examine the role of insilico design in the development of nanomaterials. Participants will discuss computational strategies for optimizing the properties and applications of nanostructured materials.
Track 11
Sustainability in Materials Chemistry
This track will focus on the sustainable practices and principles in materials chemistry. Discussions will include the role of computational methods in promoting environmentally friendly material development.