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{
"index": "01",
"tag": "Materials & Processing",
"title": "Critical Mineral Recovery from Electronic Waste",
"desc": "Data-driven separation process design for rare earth elements from end-of-life electronics using ML-guided solvent extraction optimization.",
"pills": ["Machine Learning", "Separation"]
},
{
"index": "02",
"tag": "Computational Methods",
"title": "Topology Optimization for Thermal Recovery Systems",
"desc": "Novel multiscale topology optimization frameworks for heat exchanger design in waste heat recovery applications across industrial processes.",
"pills": ["Topology Opt.", "Thermal"]
},
{
"index": "03",
"tag": "Circular Economy",
"title": "Urban Material Flow Modeling & Optimization",
"desc": "Agent-based and network flow models to characterize and optimize material stocks and flows in city-scale circular economy transitions.",
"pills": ["Urban Systems", "Modeling"]
},
{
"index": "04",
"tag": "Energy Systems",
"title": "Computational Design of Battery Recycling Pathways",
"desc": "Process simulation and multi-objective optimization of lithium-ion battery recycling chains balancing economic and environmental objectives.",
"pills": ["Battery Tech", "LCA"]
},
{
"index": "05",
"tag": "Machine Learning",
"title": "Surrogate Models for Process-Level Recovery Simulation",
"desc": "Physics-informed neural networks and Gaussian process surrogates to accelerate high-fidelity simulation of separation and recovery processes.",
"pills": ["Neural Nets", "PINN"]
},
{
"index": "06",
"tag": "Policy & Systems",
"title": "Life Cycle & Techno-Economic Analysis",
"desc": "Integrated LCA and TEA frameworks to evaluate sustainability and economic viability of emerging resource recovery technologies at various scales.",
"pills": ["TEA", "Policy"]
}
]
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