Predictive modeling of electrochromic performance in ammonium metatungstate solutions using machine learning algorithms
Abstract
Research context
OpenAlex topics: Transition Metal Oxide Nanomaterials · Conducting polymers and applications · Gas Sensing Nanomaterials and Sensors
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Affiliations
Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, State Key Laboratory of Luminescent Materials and Devices, School of Materials Sciences and Engineering, South China University of Technology 1 , Guangzhou 510640,
Department of Mechanical Engineering, University of Southampton 2 , Southampton SO17 1BJ,
Huangpu Hydrogen Innovation Center/Guangzhou Key Laboratory for Clean Energy and Materials, School of Chemistry and Chemical Engineering, Guangzhou University 3 , Guangzhou 510006,
Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University 4 , Guangzhou 510006,
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University 5 , Shenzhen 518060,
Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University 6 , Guangzhou 510006,
Funding
CUI CAN Program of Guangdong Province · Na-tional Natural Science Foundation of China · Guangdong Natural Science Foundation · Educational Commission of Guangdong Province · Key R&D Plan of Guangdong Province · State Key Lab of Luminescent Materials and Devices · Southwest Institute of Technology and Engineering Cooperation Fund · The open Research Fund of Songshan Lake Materials Laboratory · Science and Technology Program of Guangdong · Guangdong Basic and Applied Basic Research Foundation · Science and Technology Program of Guangzhou · Research Project of Guangzhou University · The Guangdong Provincial Key Laboratory of Optical Information Materials and Technology · The Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province