*A board meeting of the Asian Society for Solid State Ionics (ASSSI) will be held in conjunction with this event.
19แตสฐ Asian Conference on
Solid State Ionics (ACSSI-2026)
๐ Date : 13-16 September 2026
๐ Location : Montien Hotel Surawong Bangkok, Thailand
โ๐๏ธ Registration :
15 May 2026
15 July 2026
Abstracts submission ends
Early Registration ends
Student Prices
General Prices
3,000 THB
6,000 THB
10 Sep. 2026
Standard Registration ends
Student Prices
4,000 THB
General Prices
8,000 THB
14 Sep. 2026
Registration and badge collection
13-16 Sep. 2026
Workshop event
The global transition toward carbon neutrality requires transformative advances in energy storage and electrochemical technologies. The ACSSI-19 conference will bring together leading scientists, engineers, and emerging researchers to share the latest developments in solid-state ionics, electrochemical processes, and next-generation battery technologies. The meeting provides a platform for discussing scientific breakthroughs and fostering collaborations that support sustainable energy systems and accelerate innovation across the energy and materials sectors.
โ๐๏ธ Publication :
Option to publish your work in the ACSSI-19 Conference Proceedings (peer-reviewed and published online with ISBN).
Workshop Overview
ACSSI-19 brings together leading scientists and engineers in solid-state ionics, electrochemical processes, and battery technologies. Hosted by Chulalongkorn University, the four-day conference features parallel workshops, plenary and oral sessions, poster presentations with 1-minute pitches, and a closing Conference Highlights session with awards. The program is designed to foster scientific exchange, mentoring, and collaboration between academia and industry, complemented by an exhibition and a Tech Theater track. The meeting is expected to welcome around 400 participants, including at least 100 international delegates.
Scientific Tracks
Track 1: Energy Conversion Materials and Devices
Fuel Cells • Thermoelectrics • Solar Energy Conversion • Electrochemical Catalysis
Overview
This track focuses on materials and technologies that enable the efficient conversion of various energy sources into electrical power through ionic and electrochemical processes. Topics include fuel cells, thermoelectric materials, solar energy conversion systems, and electrochemical catalysis. Emphasis is placed on improving ionic transport, catalytic activity, and device performance for sustainable and high-efficiency energy conversion technologies.
Key areas
๐นFuel Cells
- Solid oxide and proton-conducting fuel cells
- Electrode materials and stack integration
๐นThermoelectric Materials
- Oxide thermoelectrics and ionic contributions
- Device optimization
๐นSolar Energy Conversion
- Photoelectrochemical and perovskite solar cells
- Ionic transport in solar devices
๐นElectrochemical Catalysis
- ORR/OER catalysts and mixed conductors
- Membrane reactors
Track 2: Energy Storage Materials and Devices
Solid-State Batteries • Solid Electrolytes • Advanced Battery Systems • Supercapacitors
Overview
This track highlights recent advances in materials and systems for next-generation energy storage. Research includes solid-state batteries, advanced battery chemistries, and hybrid energy storage devices such as supercapacitors. Particular attention is given to solid electrolytes, interface engineering, and novel battery concepts that aim to improve energy density, safety, and fast-charging capability.
Key areas
๐นSolid-State Batteries
- All-solid-state Li/Na/K batteries
- Solid electrolytes and interface engineering
๐นAdvanced Battery Concepts
- Multivalent ion batteries
- Li-air and Li-sulfur systems
๐นHybrid Devices
- Supercapacitors and battery-capacitor hybrids
- Fast-charging technologies
Track 3: Iontronics
Iontronics • Neuromorphic Devices • Sensors & Bioelectronics • Ferroelectric Materials
Overview
This theme explores research focused on the generation of storable, energy-dense fuels using renewable electricity and abundant feedstocks. Emphasis is placed on improving energy efficiency, product selectivity, and long-term stability of integrated systems.
Key areas
๐นIonic Devices
- Ionic transistors, memristors, and logic gates
๐นNeuromorphic Computing
- Artificial synapses and brain-inspired architectures
๐นActuators and Soft Robotics
- Electrochemical actuators and MEMS
๐นBioelectronics
- Neural interfaces and ion-electron transduction
๐นSensors
- Gas sensors (O2, CO2, NOx, hydrogen)
- Electrochemical sensors and biosensors
- Metal oxides and nanostructured sensing materialsโโ
โ
๐นFerroelectric and Dielectric Materials
- Perovskite and multiferroic materials
- High-k dielectrics and relaxor ferroelectrics
- Ferroelectric memories and piezoelectric devices
Track 4: Computational Science
Atomistic Simulations • Multiscale Modeling • Machine Learning • Transport Phenomena
Overview
โThis track focuses on computational approaches for understanding and designing ionic materials and devices. It includes atomistic simulations, multiscale modeling, and machine learning methods for predicting material properties and transport behavior. These tools provide valuable insights into ion migration, defect chemistry, and device performance, accelerating the discovery and optimization of advanced functional materials.
Key areas
๐นAtomistic Simulations
- DFT, molecular dynamics, and ab initio methods
๐น Multiscale Modeling
- Continuum, phase-field, and device simulations
๐นMachine Learning
- Materials discovery and property prediction
๐นTransport Phenomena
- Ion migration and defect chemistry calculations
Target Audience
Researchers in materials science, chemistry, and chemical engineering
Industry professionals in renewable energy and chemical manufacturing
Graduate students and early-career scientists
Local Organizing Committee
Assoc. Prof. Dr. Soorathep Kheawhom
Faculty of Engineering Chulalongkorn University
Associate Professor Lapyote Prasittisopin
Faculty of Science Chulalongkorn Universityโ
Dr. Orapa
Tamwattana
Faculty of Science
Khon Kaen University
Dr. Chanon
Pornrungrojโโโ
Faculty of Engineering Chulalongkorn Universityโ
Assoc. Prof Dr. Rojana Pornprasertsuk
Faculty of Science Chulalongkorn University
Assist. Prof. Dr. Prasit Pattananuwat
Faculty of Science Chulalongkorn University
Dr. Manunya
Okhawilai
Faculty of Engineering
Chulalongkorn University
Prof. Dr. Anongnat
Somwangthanaroj
Faculty of Engineering Chulalongkorn University
Dr. Jiaqian Qin
โ
Faculty of Science Chulalongkorn University
โ
Dr. Wanwisa
Limphirat
Synchrotron Light Research Institute, SLRI
Keynote
Track 1: Energy Conversion Materials and Devices
Prof. Dr. Jia Guo
Fudan University
Track 2: Energy Storage Materials and Devices
Prof. Dr. Kisuk Kang
Seoul National University
Track 3: Iontronics
Prof. Dr. Charles S. Henry
Colorado State University
Track 4: Computational Science
Prof. Dr. Ming-Kang Tsai
National Taiwan Normal University
List of invited speakers
Track 1: Energy Conversion Materials and Devices
Prof. Dr. Xianwen Mao
National University of Singapore
Prof. Dr. Sukwon Cha
Seoul National University
Prof. Dr. Chia-Yu Lin
National Cheng Kung University
Track 2: Energy Storage Materials and Devices
Prof. Dr. Seokwoo Jeon
Korea University
Prof. Dr. Hyunsuk Jung
Sungkyunkwan University
Track 3: Iontronics
Assoc. Prof. Dr. Duangmanee Wongratanaphisan
Chiang Mai University
Assoc. Prof. Dr. Pongsakorn Kanjanaboos
Mahidol University
Track 4: Computational Science
Prof. Dr. Manfred Martin
RWTH Aachen University
Prof. Dr. Ruiqin Zhang
City University of Hong Kong
Assoc. Prof. Dr. Suwit Suthirakun
Suranaree University of Technology
โAdditional invited speakers and keynotes will be announced soon
Scientific Committee
Track 1: Energy Conversion Materials and Devices
Prof. Dr. Sukwon Cha
Seoul National University
Prof. Dr. Peichen Su
Nanyang Technological University
Prof. Dr. Chia-Yu Lin
National Cheng Kung University
Prof. Dr. Qian Wang
Nagoya Univeristy
Prof. Dr. Ji-hyun Jang
Ulsan National Institute of Science and Technology
Track 2: Energy Storage Materials and Devices
Prof. Dr. xx
yy University
Track 3: Iontronics
Prof. Dr. xx
yy University
Track 4: Computational Science
Prof. Dr. Manfred Martin
RWTH Aachen University
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