WORKSHOP
“AI-Assisted Material Discovery”
We bring together leading academic scientists and researchers!
September 1st, 2026 1pm - 5pm
Scope of the event
Artificial intelligence is fundamentally transforming materials science by enabling predictive modeling, inverse design, and automated discovery of novel material compositions. Generative AI models, high-throughput simulations, and machine learning algorithms are significantly shortening research and development cycles across sectors including energy storage, aerospace, advanced polymers, and semiconductors.
This workshop explores AI-driven materials informatics, data infrastructure, simulation-to-experiment integration, and closed-loop laboratory automation. Participants will examine how generative models can predict material properties, optimize compositions, and reduce costly experimental iterations.
Academic experts will present advances in inverse materials design and AI-enabled discovery platforms. Industry leaders will demonstrate real-world deployment in battery technology, alloys, and specialty chemicals. Policy representatives will address data governance, transparency, and ethical AI frameworks in scientific research.
The goal of this workshop is to equip materials scientists, R&D directors, and innovation strategists with actionable approaches to integrate AI into advanced materials development pipelines.
Key Takeaways & Outputs
• Generative AI and inverse design methodologies
• Predictive property modeling and materials informatics
• Integration of AI with robotics and automated laboratories
• Reducing development cycles and R&D costs
• Data governance and reproducibility standards
• Industrial case studies of AI-enabled discovery
Agenda & Speakers
13:00–13:05 — Introduction & Workshop Objectives
Organizer
• Strategic role of AI in materials innovation
• Competitive advantage through digital R&D
• Workshop objectives and outcomes
13:05–13:35 — Materials Informatics & Predictive Modeling
Speaker (Academy): N.N,
• Machine learning for property prediction
• Data-driven discovery platforms
• Benchmarking AI models
• Integration with quantum chemistry simulations
13:35–14:05 — Generative AI & Inverse Materials Design
Speaker (Academia): N.N.
• Materials Project and data ecosystems
• Generative models for new compounds
• High-throughput screening
• Accelerating battery and semiconductor innovation
14:05–14:35 — Industrial AI Deployment in Materials R&D
Industry Speaker: N.N.
• AI-driven chemical formulation
• Closed-loop experimentation
• Industrial scaling challenges
• ROI and innovation acceleration
14:35–14:45 — Break
14:45–15:15 — Automation & Self-Driving Laboratories
Speaker (Academia/Industry): N.N,
• Robotic experimentation platforms
• Autonomous hypothesis generation
• Integration of AI and physical labs
• Future of self-driving materials discovery
15:15–15:45 — Data Governance, IP & Ethical AI
Speaker: Representative, OECD AI Policy Observatory
• Responsible AI in scientific research
• Transparency and explainability
• Data sharing frameworks
• IP considerations in AI-generated materials
15:45–16:45 — Panel Discussion & Strategic Alignment
All Speakers + Moderator
• Transforming global materials R&D
• Talent and workforce implications
• Public–private collaboration models
• Roadmap for AI-enabled discovery ecosystems
Concluding remarks
Registration
Deadlines:
Early-Bird: until July 15th, 2026
Registration : until September 5th, 2026
The registration takes place online by filling out the form.
The registration and access to the virtual room for workshop is effective only if the fees payment has been confirmed.
Please note that INVIRTA MEMBERS can purchase all our workshops and services with 10% discount . If you desire to get more information on our membership please press here .
Prices* :
Industry: 150 € (early bird**: 125 €)
Academy: 125 € (early bird**: 100 €)
Students***: 90 € (early bird**: 75 €)
* Note that prices are subject to VAT (for European countries, except Germany, provide the VAT number of your organisation to be within the VAT reverse framework payment).
** Until November 15th, 2020
*** Copy of the registration certificate (Ph.D, undergraduates)
Special price offers for Workshop packages
Our Workshop packages are valid for any workshops offered by our academy and can be used anytime. If you want to use one of our packages press here.
