Liquid metal catalysts are widely assumed to promote high‐quality 2D growth. In this work, operando experiments and machine‐learning‐accelerated simulations show that hBN on Cu breaks this graphene‐derived expectation, where molten Cu promotes multilayer/3D growth, but re‐solidified single‐crystal Cu stabilizes monolayer formation.
Nikoo Ghanadan +17 more
wiley +1 more source
Explainable machine learning based optimization of strength, durability, and carbon efficiency of fly ash-GGBS geopolymer concrete. [PDF]
Padavala SSAB, Kothuri D, Gashe AM.
europepmc +1 more source
Thermal insulation and mechanical performance of sustainable rammed earth walls incorporating construction and demolition waste and calcium oxide. [PDF]
Fouad W, Youssf O, Allam RYM, Tahwia AM.
europepmc +1 more source
Mechanical and durability performance prediction of geopolymer incorporating ferrosilicon slag and aluminum powder using machine learning techniques. [PDF]
Raju KN, Arunvivek GK.
europepmc +1 more source
The impact of global value chain participation on CO<sub>2</sub> emissions: new evidence based on the nonlinear PSTR model. [PDF]
Wu S, Qu Y.
europepmc +1 more source
Carbon footprint of the construction sector is projected to double by 2050 globally. [PDF]
Li C +4 more
europepmc +1 more source
Vertical farming as a land sparing strategy: GHG implications for UK agricultural landscapes.
Gargaro M +4 more
europepmc +1 more source
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