2023 ACS Global Innovation Imperatives - 7th International Conference on Computation for Science and Technology (ICCST)
2023 ACS Global Innovation Imperatives - 7th International Conference on Computation for Science and Technology (ICCST)
Tentative program for ACS Gii
(Computers in Chemistry: Addressing Air Pollution Challenges with Sustainable Solutions)
Pre-conference Workshop
Day 1: Unlocking the Potential: Introduction to Computational Chemistry for Addressing Air Pollution Challenges
Time | Session | Description | Format |
---|---|---|---|
9:00-5:00 pm | Session 1: Introduction and Workshop Overview | Provide an introduction to the workshop, its objectives, and the importance of computational chemistry in addressing air pollution challenges with sustainable solutions. | In-person or virtual session |
Session 2: Fundamentals of Computational Chemistry | Cover the fundamental concepts and principles of computational chemistry, including molecular modeling, quantum mechanics, and computational techniques. | Presentation with slides, followed by a Q&A session | |
Session 3: Applications of Computational Chemistry in Air Pollution Analysis | Explore the various applications of computational chemistry in analyzing air pollution sources, understanding pollutant behavior, and designing effective mitigation strategies. | Presentation with case studies, followed by interactive discussions |
Lunch, Poster Session
Social Event by Invitation: ACS (American Chemical Society), CADDAsia (Computer Aided Drug Discovery Asia), AFMC (Asian Federation of Medicinal Chemistry) at KLCC Twin Tower ( Fri 8th Dec, 2023, 7pm)
Day 2: Exploring Opportunities: Advanced Applications of Computational Chemistry and Stakeholder Engagement in Addressing Air Pollution Challenges
Time | Session | Description | Format |
---|---|---|---|
9:00-5:00 pm | Session 4: Molecular Modeling and Simulation Techniques | Dive deeper into molecular modeling and simulation techniques used in computational chemistry, such as molecular dynamics, quantum chemistry methods, and docking studies. | Presentation with examples, followed by hands-on exercises using software tools (virtual session). |
Session 5: Data Analysis and Machine Learning in Air Pollution Research | Discuss the utilization of data analysis techniques, statistical methods, and machine learning algorithms in air pollution research and prediction. | Presentation with examples, followed by interactive discussions and data analysis exercises | |
Session 6: Optimization and Design of Sustainable Solutions | Explore optimization techniques and computational methods for designing sustainable solutions to mitigate air pollution, such as emission control strategies and green chemistry approaches. | Presentation with case studies, followed by group discussions and problem-solving exercises |
Lunch Poster Session
Tentative program for 7th ICCST
(Virtually going green: The role of computer science and engineering in reducing pollution and toxicity)
Day 1: Unlocking the Potential: Introduction to Computational Chemistry for Addressing Pollution Challenges & Its Toxicity
9:00-5:00 pm | Quantum Revolution |
Computational Biology and Bioinformatics | |
Computational chemistry, Materials, and Nanotechnology | |
Computational Mathematics and statistics | |
Workshop Activities and Discussion |
2 Tea Breaks and Lunch, Poster Session
Social Event by Invitation: ACS (American Chemical Society), CADDAsia (Computer Aided Drug Discovery Asia), AFMC (Asian Federation of Medicinal Chemistry) at KLCC Twin Tower ( Fri 8th Dec, 2023, 7pm)
Day 2: Exploring Opportunities: Advanced Applications of Computational Method and Stakeholder Engagement in Addressing Pollution Challenges
9:00-5:00 pm | Computational physics and quantum information science |
Machine learning and artificial intelligence | |
High-performance computing, computer science, and computer engineering | |
Workshop Activities and Discussion |
2 Tea Breaks and Lunch, Poster Session