Conference Session Tracks
학술대회 세션 트랙
This ICAIMCA features a diverse range of session tracks designed to cover key research areas, emerging trends, and interdisciplinary innovations within the field of Chemistry,Materials,Mechanical Engineering.
Each track offers researchers, academicians, industry professionals, and practitioners a platform to present their work, exchange ideas, and explore the advancements shaping the future of the domain.
Aligned with the SDGs
지속가능발전목표(SDGs) 연계
UN Sustainable Development Goals
유엔 지속가능발전목표This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals, fostering knowledge exchange, innovation, and collaborative engagement.
All Session Tracks
전체 세션 트랙
Browse every track scheduled for this conference.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Take Part in the Conference
학술대회 참가하기
Submit your abstract under the most relevant session track, or complete your registration to join the conference.