Algorithmic Design & XR for Zero-Carbon Metamaterial Architecture
Design Buildings Like Algorithms: Optimize Form, Carbon, and Performance in Immersive Digital Twins.
About This Course
This intensive 3-day workshop introduces the future of architectural and structural innovation—where buildings are no longer just drawn, but computationally generated, optimized, and experienced as immersive digital twins.
Participants will explore how AI-based evolutionary solvers can generate climate-responsive building envelopes, how metamaterial lattices can drastically reduce concrete and steel usage, and how embodied carbon can be quantified through simplified LCA workflows. The workshop culminates in exporting optimized structures into XR environments, enabling researchers to interact with real-time thermal, stress, and carbon intelligence inside a fully immersive model.
This program is designed for architects, engineers, sustainability researchers, and digital design innovators aiming to lead Industry 5.0 construction workflows.
Aim
To equip participants with cutting-edge skills in AI-driven generative design, metamaterial structural optimization, embodied carbon simulation, and XR-based digital twin visualization for next-generation sustainable architecture.
Workshop Objectives
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Apply AI-based generative algorithms for architectural form-finding and optimization.
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Integrate environmental inputs (solar, wind) into parametric design workflows.
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Use evolutionary solvers to generate and rank performance-driven building envelopes.
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Apply metamaterial lattice structures to reduce material consumption while maintaining strength.
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Run simplified FEA simulations for structural stress distribution.
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Estimate embodied carbon reductions using LCA-inspired calculations.
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Build XR-enabled digital twins with mapped thermal, stress, and carbon metrics.
Workshop Structure
Day 1 AI-Driven Algorithmic Design & Form-Finding
- The shift from drawing buildings to “coding” buildings.
- How generative algorithms solve multi-objective optimization (e.g., maximizing natural light while minimizing structural weight).
Hands-On
- Set up a parametric architectural model via Python / visual scripting.
- Input local environmental data: solar radiation and wind vectors.
- Run an evolutionary solver to generate and iterate 50 building-envelope shapes.
- Select the top 3 envelopes that naturally minimize heat absorption (data-driven ranking).
Day 2 Metamaterial Integration & Carbon Simulation
- What are metamaterials?
- How custom-engineered cellular structures (e.g., 3D-printed auxetic lattices) can provide high load-bearing capacity with ~60% less concrete/steel.
Hands-On
- Apply a mathematically generated metamaterial lattice to the optimized envelope from Day 1.
- Run a simplified Finite Element Analysis (FEA) to simulate structural load distribution across the lattice.
- Calculate the reduction in Embodied Carbon (LCA) compared to a traditional solid concrete façade.
Day 3 XR Visualization & The Digital Twin
- The role of Extended Reality (VR/AR) in modern structural research.
- Moving from static 2D blueprints to immersive, data-rich Digital Twins.
Hands-On
- Export the optimized, carbon-calculated metamaterial structure into a web-based XR environment (e.g., Unity/WebXR or Speckle).
- Map simulated outputs—thermal heat maps and structural stress points—directly onto the 3D model.
- Simulate an interactive walkthrough where researchers can point at beams to view real-time simulated carbon and thermal metrics.
Who Should Enrol?
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Architects, civil/structural engineers, sustainability researchers, and digital design professionals
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Students and PhD scholars in architecture, construction tech, computational design, or smart cities
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Basic familiarity with parametric tools or Python is helpful but not required
Important Dates
Registration Ends
02/25/2026
IST 4:30 PM
Workshop Dates
02/25/2026 – 02/27/2026
IST 05: 30 PM
Workshop Outcomes
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An AI-optimized building envelope generated through evolutionary design
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A metamaterial-integrated structural prototype with carbon savings quantified
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A digital twin XR model visualizing stress, heat, and embodied carbon metrics
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A reusable workflow: AI Form-Finding → Metamaterials → LCA → XR Digital Twin
Fee Structure
Student
₹2499 | $65
Ph.D. Scholar / Researcher
₹3499 | $85
Academician / Faculty
₹4999 | $95
Student
₹6499 | $115
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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