AccelMAPs is a unique international event dedicated to exploring how simulation and modelling, artificial intelligence (AI), automation, and advanced experimentation can be integrated to accelerate materials discovery and development.
This training school will provide an engaging and interdisciplinary platform to deepen your understanding of Material Acceleration Platforms (MAPs) and to examine how traditional experimental laboratories (“Legacy Labs”) can be transformed, connected, and integrated into MAPs.
Why Attend?
Participants will gain:
● A clear conceptual and practical understanding of MAPs, including their architecture, objectives, and implementation strategies
● Insight into how AI, machine learning, and generative models can accelerate materials discovery and optimization
● Hands-on exposure to self-driving laboratories, automated workflows, and hardware–software integration
● Experience in connecting theory, data, and experiments, from atomistic modelling to device-level integration
● Opportunities to interact with leading international experts, early-career researchers, and peers working at the forefront of accelerated materials research
● A unique perspective on the transition from legacy experimental workflows to cloud-connected, intelligent laboratories
Key Focus Areas
The training school will focus on:
● Fundamentals and concepts of Material Acceleration Platforms (MAPs)
● Atomistic and multiscale simulation and modelling for functional materials
● AI-driven materials discovery, including forward and inverse modelling
● Automation, robotics, and workflow digitalization in experimental laboratories
● Integration of hardware, software, and data infrastructures
● Case studies in energy materials, with particular emphasis on thermoelectrics and device integration
● AI-assisted materials characterization, including the use of ion beam techniques
● Practical demonstrations and hands-on sessions bridging digital discovery and physical experimentation
Who Should Attend?
Priority Audience
● PhD students and early-career researchers working in materials science, physics, chemistry, engineering, and related fields
● Researchers interested in AI-assisted experimentation, MAPs, and laboratory automation
● Participants involved in energy materials research, including thermoelectrics, hydrogen, solar, functional materials, and devices
Other Interested Participants
● Senior researchers and laboratory managers exploring the transition toward digital and autonomous labs
● Engineers and scientists from research infrastructures, industry, and technology providers
● Data scientists and AI specialists interested in materials science applications
● Members of collaborative research networks and initiatives focused on accelerated materials development
Venue
Located in Bobadela, just north of Lisbon, the Campus Tecnológico e Nuclear (CTN) is a unique and prestigious hub of Instituto Superior Técnico (IST), the largest school of engineering in Portugal. CTN is the country’s primary center for research in nuclear sciences, also encompassing studies in energy materials, and advanced technologies.
Situated on a 20-hectare campus near the Tagus River, CTN hosts state-of-the-art scientific infrastructure, including advanced laboratories for materials synthesis and characterization, and ion beam and irradiation facilities.
Getting There
The campus is well connected by:
● Northern Railway Line (Bobadela station)
● Major road networks (A1 and IC2)
For international participants, CTN is approximately a 10–15 minute drive from Lisbon Airport.
⚠️ As a secure research facility, all participants must carry a valid photo ID for campus access throughout the event.
Application & Registration
The deadline for applications is February 28, 2026.
Applications must be submitted exclusively through the link and should include a brief letter of motivation describing the subject of your current research and your expectations for the training school.
We warmly invite you to join us in Lisbon for an intensive and forward-looking training school that bridges legacy laboratories and Material Acceleration Platforms.
For more information consult the programme and the flyer.
Should you have any questions, please feel free to contact us aceelmaps@ctn.tecnico.ulisboa.pt
.