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2 articles for “IPCC AR6”
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Agentic AI-Driven Negative Emission Optimization: Large Language Model Orchestration and Quantum Annealing for Real-Time Carbon Capture Policy Simulation Beyond 1.5°C Thresholds
Abstract: The convergence of agentic artificial intelligence, large language model (LLM) orchestration, and quantum annealing presents a transformative paradigm for climate policy computation. This paper introduces Nega Optima a multi-agent computational architecture that integrates LLM-driven policy parsing, quantum annealing-based combinatorial optimization, and real-time integrated assessment model (IAM) feedback loops to simulate negative emission technology (NET) deployment strategies in a post-1.5°C overshoot scenario. Existing carbon capture optimization frameworks suffer from three systemic …
Published in International Journal of Climate Conditions · Vol. 3, Issue 2, 2026 · pp. 7–14 Read article
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Impact of Sea Level Rise due to Climate Change and Anticipated Consequence of Slamming Forces on Deck Elevation of Port Structures-An Assessment
Abstract: The research methodologies for on climate change, particularly the deterministic factors have undergone gradual changes during last few decades in respective IPCC’s Assessment Reports. The original concept of emission scenarios (2000) was reconsidered as socio-economic scenarios till AR4, later appraised as Representative Concentration Pathways till AR5 based on Radiative Forcing, the capacity of a gas affecting the change in energy (trajectories not emissions) in the atmosphere. Lately in AR6 the …
Published in Journal of Offshore Structure and Technology · Vol. 9, Issue 3, 2022 · pp. 1–5 Read article