Report of RILEM TC 267-TRM phase 2: optimization and testing of the robustness of the R3 reactivity tests for supplementary cementitious materials

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The challenge of power exhaust of the high heat and particle fluxes foreseen for ITER and the forthcoming nuclear fusion reactors can be mitigated by operating in a detached divertor regime. This regime has been the object of three decades of studies, as i ...

Several conductor designs featuring High Temperature Superconducting (HTS) stacked tapes for fusion coils are being proposed. These conductors are planned to operate in time-varying magnetic field and current; thus, the estimation of AC losses is fundament ...

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Report of RILEM TC 267-TRM phase 2: optimization and testing of the robustness of the R3 reactivity tests for supplementary cementitious materials

Chattez avec Graph Search

Spectroscopic characterisation of TCV divertor towards a detached regime

Impact of Hysteresis Losses in Hybrid (HTS-LTS) Coils for Fusion Applications

Recent progress in calcium looping integrated with chemical looping combustion (CaL-CLC) using bifunctional CaO/CuO composites for CO2 capture: A state-of-the-art review

MPD and TMC supply as parameters to describe synthesis-morphology-performance relationships of polyamide thin film composite membranes

Characterisation of detachment in the MAST-U Super-X divertor using multi-wavelength imaging of 2D atomic and molecular emission processes

Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure

Techno-economic and environmental analysis of high temperature heat pumps integration into industrial processes: the ammonia plant and pulp mill cases

Renewable Energy Integration and Waste Heat Recovery for the Production of Sustainable Jet Fuel and Decarbonization of Industrial Heating Applications

Housing, street and health: a new systemic research framework

A systemic study for enhanced waste heat recovery and renewable energy integration towards decarbonizing the aluminium industry

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning