화학공학소재연구정보센터
검색결과 : 78건
No. Article
1 Life cycle sustainability assessment of pumped hydro energy storage
Guo Z, Ge SS, Yao XL, Li H, Li XY
International Journal of Energy Research, 44(1), 192, 2020
2 Alternative lithium-ion battery using biomass-derived carbons as environmentally sustainable anode
Hernandez-Rentero C, Marangon V, Olivares-Marin M, Gomez-Serrano V, Caballero A, Morales J, Hassoun J
Journal of Colloid and Interface Science, 573, 396, 2020
3 Experimental performance analysis of sensible heat storage in solar air collector with cherry pits/powder under the natural convection
Abuska M, Sevik S, Kayapunar A
Solar Energy, 200, 2, 2020
4 Structural, morphological, optical and electrical characterization of InGaN/GaN MQW structures for optoelectronic applications
Prabakaran K, Jayasakthi M, Surender S, Pradeep S, Sanjay S, Ramesh R, Balaji M, Gautier N, Baskar K
Applied Surface Science, 476, 993, 2019
5 Reduction of nonradiative recombination in InGaN epilayers grown with periodical dilute hydrogen carrier gas
Wang HL, Lv ZS, Chen C, Zhang SP, Guo Y, Li B, Wu ZS, Jiang H
Applied Surface Science, 494, 285, 2019
6 Date pits activated carbon for divalent lead ions removal
Krishnamoorthy R, Govindan B, Banat F, Sagadevan V, Purushothaman M, Show PL
Journal of Bioscience and Bioengineering, 129(1), 88, 2019
7 Date pits activated carbon for divalent lead ions removal
Krishnamoorthy R, Govindan B, Banat F, Sagadevan V, Purushothaman M, Show PL
Journal of Bioscience and Bioengineering, 128(1), 88, 2019
8 Relationship of the shape and size between etch pits and corresponding Te inclusions in CdZnTe crystals
Zhang JJ, Zhu LH, Sun SW, Yu HX, Xu C, Yang JR
Journal of Crystal Growth, 512, 90, 2019
9 Influence of GaN buffer layer under InGaN/GaN MQWs on luminescent properties
Dominec F, Hospodkova A, Hubacek T, Zikova M, Pangrac J, Kuldova K, Vetushka A, Hulicius E
Journal of Crystal Growth, 507, 246, 2019
10 Probabilistic assessment of potential leachate leakage from livestock mortality burial pits: A supervised classification approach using a Gaussian mixture model (GMM) fitted to a groundwater quality monitoring dataset
Kim HK, Kim KH, Yun ST, Oh J, Kim HR, Park SH, Kim MS, Kim TS
Process Safety and Environmental Protection, 129, 326, 2019