文献
J-GLOBAL ID:202202285891857101
整理番号:22A0429228
バイオマス組成および熱分解条件に定量的に関連するバイオオイル特性の機械学習予測【JST・京大機械翻訳】
Machine learning prediction of bio-oil characteristics quantitatively relating to biomass compositions and pyrolysis conditions
著者 (7件):
Zhang Tonghuan
(State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China)
,
Cao Danyang
(State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China)
,
Feng Xin
(State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China)
,
Zhu Jiahua
(State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China)
,
Lu Xiaohua
(State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China)
,
Mu Liwen
(State Key Laboratory of Materials-Oriented Chemical Engineering, Nanjing Tech University, Nanjing 211816, PR China)
,
Qian Hongliang
(Department of Pharmaceutical Engineering, China Pharmaceutical University, Nanjing 211198, PR China)
資料名:
Fuel
(Fuel)
巻:
312
ページ:
Null
発行年:
2022年
JST資料番号:
C0023A
ISSN:
0016-2361
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)