Results 131 to 140 of about 627,032 (310)
Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm. [PDF]
Feng M, Duan Y, Wang X, Zhang J, Ma L.
europepmc +1 more source
High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin +4 more
wiley +1 more source
Time-Varying Spillover Effects of Carbon Prices on China’s Financial Risks
As China’s financial markets become increasingly integrated and the carbon market undergoes financialization, the impact of carbon emission price fluctuations on financial markets has emerged as a key area of systemic risk research.
Jingye Lyu, Zimeng Li
doaj +1 more source
Carbon price prediction based on multi-factor MEEMD-LSTM model. [PDF]
Min Y, Shuzhen Z, Wuwei L.
europepmc +1 more source
Potential Impacts of Subprime Carbon on Australia’s Impending Carbon Market [PDF]
This paper examines the potential impacts of subprime carbon credits on the impending Australian carbon market. Subprime carbon could potentially be created in carbon offset markets that lack adequate regulation, as projects face risks that can overstate
Liam Wagner, Patrick Hamshere
core
Handbook of Establishing and Maintaining Oxygen‐Free Atmospheres
This study presents a practical framework for creating oxygen‐free atmospheres at ambient pressure using silane‐doped inert gases. The results show that ultra‐low oxygen levels and strongly reduced water content can be achieved through controlled silane dosing, drying systems, and sensor monitoring.
Sascha Jan Zimmermann +3 more
wiley +1 more source
Forecasting Carbon Price in China: A Multimodel Comparison. [PDF]
Li H +6 more
europepmc +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source

