An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
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.
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.
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.
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.
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.
This session will showcase computational tools designed for optimizing molecular properties. Participants will discuss the latest software and methodologies that facilitate property enhancement.
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.
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.
This track addresses the critical aspects of model validation in predictive modeling. Participants will discuss methodologies for assessing model performance and reliability.
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.
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.