THAILAND-JAPAN BILATERAL SYMPOSIUM: ADVANCING SYNCHROTRON SCIENCE THROUGH EXPERIMENTAL AND COMPUTATIONAL CHEMISTRY SYNERGY
Scope
Theoretical and computational chemistry are rapidly advancing, while experimental methods remain central. In addition to traditional experimental methods, quantum beam sciences, including synchrotron science, are becoming essential tools for chemistry, material sciences, and engineering. During this one-and-a-half-day symposium, distinguished speakers will highlight the excellent collaborative experiences between theoretical/computational and experimental chemists, as well as synchrotron scientists from Thailand and Japan. They will also discuss ways to enhance future collaborations, particularly in contributing to a sustainable society. Additionally, we will offer a mini-session for early-career chemists and students from Thailand, Japan, and other Asian countries.
Topics in this session include but are not limited to:
- New theoretical and computational methods for analysis and design
- Homogeneous catalysis for sustainability
- Heterogeneous catalysis for sustainability
- Quantum beam and synchrotron sciences for material sciences
- Rational design and development of new reactions and smart materials
CATALYTIC SYSTEMS FOR CONTEMPORARY CHALLENGES
Scope
Catalysis has played an important role in covering the broad spectrum ranging from energy to environmental applications. This session welcomes research based on the development of various types of contemporary catalytic systems, including heterogeneous catalysis, homogeneous catalysis, and electrocatalysis. In addition, this session aims to advance the future application of new catalytic systems to a sustainable circular economy.
Topics in this session include but are not limited to:
- New design of advanced catalytic materials, including heterogeneous catalysts, homogeneous catalysts, photocatalysis, and electrocatalysts
- Catalytic materials and processes for green-house gas and waste utilization
- Catalytic conversion of biomass and biomass-derived compounds to advanced materials and chemicals
- Catalytic mechanism of future catalytic systems
- Catalytic processes for sustainability
TU-Frontier Lab-JEOL joint session Contaminants of Emerging Concern: PFAS & Microplastics
Scope:
Contaminants of emergent concern (CECs) in aquatic ecosystems entail a potential risk for the environment, due to their persistent behavior and adverse effect on living organisms during a long-term exposition, even at residual concentrations. Conventional Wastewater Treatment Plants (WWTPs) are not designed to eliminate CECs properly because the treatment technologies are not enough to remove these contaminants, which pose potential threats of emerging into the food supply chain. In the session, we will focus on two key contaminants viz PFAS and Microplastics and provide latest updates and current state of art on both contaminants.
Topics in this session include but are not limited to:
- New Technology, methods, workflow for detection of PFAS and Microplastics
- Environmental Impact and toxicological effects of Microplastics and PFAS
- Environmental monitoring, sampling and large data collection challenges
- Treatment and mitigation strategies and approaches
- QA/QC challenges
Sustainable chemistry Focusing on Clean energy Good Health and Well-Being (Thailand-Taiwan)
Scope:
The session will explore innovative chemical processes to care for the well-being of people in a safe and healthy environment that integrate green chemistry with a particular focus on higher-level knowledge and skills directly relevant SDG 3 – Good Health and Well-Being.
Topics in this session include but are not limited to:
- Sustainable chemical processes
- Clean energy including energy harvesting, energy storage and energy utilization
- Chemistry for better health focused on advanced in chemistry for modern medicine and diagnosis
- Chemistry for enhance the quality of life including food quality and safety, efficient way to monitor and remove the hazadous chemicals in environment
AI in Drug Discovery Research
Scope:
Artificial intelligence (AI) has revolutionized drug discovery by accelerating various stages of the process, from target identification to clinical trials. This session includes the development of AI techniques, such as machine learning models for drug-target interaction prediction, deep learning for molecular property analysis, and reinforcement learning for de novo drug design. In addition, the application using AI in drug discovery process such as target Identification, de novo design, molecular docking, virtual screening, ADMET prediction, and data Integration, etc. also involves.
Topics in this session include but are not limited to:
- AI Techniques in Drug Discovery
- AI-Driven Drug Target Identification
- AI-enhanced De Novo Drug Design, Virtual Screening and Molecular Docking
- AI in ADMET Prediction
- AI and Multi-Omics Data Integration
- Applications of AI in Drug Discovery
