Results 161 to 170 of about 423 (206)
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha +10 more
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Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley +1 more source
In Situ Amine Formation to Modulate MOF‐Derived PdIn N‐Doped Carbon Catalysts
An amine‐assisted approach converts PdIn‐MOF into PdIn intermetallic nanoparticles embedded in N‐doped carbon. In situ‐generated amines trigger early Pd nucleation, producing smaller PdIn domains than direct pyrolysis. Amine sterics and basicity tune composition and particle size, while solvent and amine co‐determine textural features.
Gonzalo Egea +9 more
wiley +1 more source
We introduce a molecular strategy to assemble one‐dimensional (1D) materials into two‐dimensional (2D) van der Waals metal–organic frameworks (MOFs). Crystals of [FeX(pzX)(bpy)] (X = Cl, F) form anisotropic 2D layers that can be mechanically exfoliated into thin sheets.
Eleni C. Mazarakioti +12 more
wiley +1 more source
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Environmental Engineering and Management Journal, 2014
In Central European countries, heating represents approximately 75% of the total energy use of a residential building, with average thermal characteristics of the envelope. The expected energy use can be determined using complex simulation programs, but an easier way is to use specific degree day values.
Zoltan Verbai +2 more
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In Central European countries, heating represents approximately 75% of the total energy use of a residential building, with average thermal characteristics of the envelope. The expected energy use can be determined using complex simulation programs, but an easier way is to use specific degree day values.
Zoltan Verbai +2 more
openaire +1 more source
An Explicit Distribution to Model the Proportion of Heating Degree Day and Cooling Degree Day
Communications in Statistics - Simulation and Computation, 2014With a view to estimating the energy consumption, we derive the explicit distribution of the proportion X/(X + Y) when X and Y follow the new Bivariate Affine-Linear Exponential distribution. An application of this distribution to model the proportion of heating using the heating degree day and the cooling degree day data in the State of Alabama for ...
Muhammad Mohsin +2 more
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Calcuiation of heating degree-days for Pakistan
Building Services Engineering Research and Technology, 1999Heating degree-days for various locations in Pakistan — Karachi, Hyderabad, Lahore, Multan, Islamabad, Peshawar and Quetta — from 1987 to 1996, are calculated from the available meteorological data. The method to calculate the degree-days, which may be the first attempt for Pakistan, is briefly described.
S.R. Samo, K.M. Letherman
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Heating degree–days for arid regions
Energy, 1998Abstract Arid regions generally have great temperature differences between day and night. Heating degree–days are indicative of the need to heat buildings. We show that the maximum and minimum temperatures are linearly related at high significance levels.
Zekai Şen, Mikdat Kadiogl̂u
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Sol-air heating and cooling degree-days
Solar Energy, 1984Abstract A set of relationships is developed which allow the estimation of sol-air heating and cooling degree-days at any base temperature. The method makes use of existing relationships for hourly utilizability and degree-days, and the only input required is the monthly-average solar radiation and ambient temperature.
D.G. Erbs, S.A. Klein, W.A. Beckman
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