Materials Theory and Computation, Data Science, Materials Physics
Assoc. Prof. Dr. Supareak Praserthdam
Abstract Title: On underlying factors promoting high coke-resistance in NiCo bimetallic catalysts during dry reforming of methane
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Department of Chemical Engineering, Chulalongkorn University
Abstract Title: On underlying factors promoting high coke-resistance in NiCo bimetallic catalysts during dry reforming of methane
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Department of Chemical Engineering, Chulalongkorn University
Prof. Dr. Hirofumi Tanaka
Abstract Title: Physical Reservoir Devices based on Echo-State Network of Nanomaterials for Future Robotics application
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Japan; Graduate School of Life Science and Systems Engineering, Kyutech, Japan.
Abstract Title: Physical Reservoir Devices based on Echo-State Network of Nanomaterials for Future Robotics application
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Japan; Graduate School of Life Science and Systems Engineering, Kyutech, Japan.
Prof. Dr. James P. Lewis
Abstract Title: FIREBALL2020: A revitalized paradigm for DFT molecular dynamics in an AI world
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Hong Kong Quantum AI Laboratory, Ltd. Hong Kong Science Park, Hong Kong; SynCat@Beijing, Synfuels China Technology Ltd. Huairou, P.R. China
Abstract Title: FIREBALL2020: A revitalized paradigm for DFT molecular dynamics in an AI world
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Hong Kong Quantum AI Laboratory, Ltd. Hong Kong Science Park, Hong Kong; SynCat@Beijing, Synfuels China Technology Ltd. Huairou, P.R. China
Prof Daniel Packwood
Abstract Title: Data science for organic semiconductors and functional porous materials
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Kyoto University
Abstract Title: Data science for organic semiconductors and functional porous materials
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Kyoto University
Dr. Supawadee Namuangruk
Abstract Title: Theoretical Insights into CO2 Capture and Utilization
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: National Nanotechnology Center (NANOTEC)
Abstract Title: Theoretical Insights into CO2 Capture and Utilization
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: National Nanotechnology Center (NANOTEC)
Assoc. Prof. Dr. Suwit Suthirakun
Abstract Title: Designing oxide catalysts for biomass conversion: first-principles based microkinetic modelling of HMF oxidation on MnO2
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: University Ave. Suranaree University of Technology
Abstract Title: Designing oxide catalysts for biomass conversion: first-principles based microkinetic modelling of HMF oxidation on MnO2
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: University Ave. Suranaree University of Technology
Assoc. Prof. Dr. Theerapong Puangmali
Abstract Title: Surface engineering of gold nanoclusters by peptides: unveiling the role of ligand design for enhanced bioimaging applications
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Department of Physics, Khon Kaen University
Abstract Title: Surface engineering of gold nanoclusters by peptides: unveiling the role of ligand design for enhanced bioimaging applications
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Department of Physics, Khon Kaen University
Dr. Kaito Takahashi
Abstract Title: Effect of electric field on C-C coupling reaction in B-doped graphyne
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: School of Bio-Chemical Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University - Rangsit Campus
Abstract Title: Effect of electric field on C-C coupling reaction in B-doped graphyne
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: School of Bio-Chemical Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University - Rangsit Campus
Assoc. Prof. Dr. Worasak Sukkabot
Abstract Title: Atomistic tight-binding model of spin-splitting energies in sp-d exchange interactions tailored in colloidal CdSe/CdMnS core/shell nanoplatelets
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Department of Physics, Faculty of Science, Ubon Ratchathani University, Thailand
Abstract Title: Atomistic tight-binding model of spin-splitting energies in sp-d exchange interactions tailored in colloidal CdSe/CdMnS core/shell nanoplatelets
Symposia: Materials Theory and Computation, Data Science, Materials Physics
From: Department of Physics, Faculty of Science, Ubon Ratchathani University, Thailand
Chair: Prof. Dr. Siriporn Jungsuttiwong, Ubon Ratchathani University
Co-chair: Assoc. Prof. Theerapong Puangmali, Khon Kaen University
Co-chair: Assoc. Prof. Dr. Suwit Suthirakun, Suranaree University of Technology
Scope
- First-principles and multiscale modeling to predict material properties and behavior.
- Integrating AI-Assisted Computation and Experimentation for Autonomous Laboratories in accelerating materials discovery and design.
- Data science tools for high-throughput screening, materials informatics, and big data management.
- Theoretical insights into quantum materials, energy materials, and functional materials.
- Computational methods for understanding materials' structural, electronic, and physical properties.
- Collaborative efforts combining theory, simulation, and experiments to tackle global challenges in energy, sustainability, and advanced technologies.