Results 131 to 140 of about 83,885 (352)

Tailoring Redox Active Sites with Dual‐Interfacial Electric Fields for Concurrent Photocatalytic Biomass Valorization and H2 Production

Advanced Functional Materials, EarlyView.
A rationally engineered bifunctional photocatalyst is reported, which achieves simultaneous selective oxidation of biomass‐derived 5‐hydroxymethylfurfural (HMF) to 2,5‐diformylfuran (DFF) and efficient H2 evolution. By precisely positioning Au and Co3O4 on Zn3In2S6 nanosheet, dual interfacial electric fields are well constructed to spatially separate ...
Shiqing Li, Sugang Meng, Huijun Zhang, Alain R. Puente‐Santiago, Zhongliao Wang, Shifu Chen, Mario J. Muñoz‐Batista, Yu‐Ming Zheng, Bo Weng   +8 more
wiley   +1 more source

A Non-Isolated Extendable Boost Topology With Continuous Input and Output Currents

IEEE Access
This paper presents a new expendable boost DC-DC converter design with continuous input and output currents. The voltage gain and voltage-current stresses on the semiconductors are the same as those in the conventional boost converter.
Hossein Gholizadeh, Alireza Poursalan, Reza Sharifi Shahrivar, Saeed Amini, Mohammadreza Salehi, Lazhar Ben-Brahim   +5 more
doaj   +1 more source

Penggunaan Resistivity Meter Berbasis Boost Converter untuk Identifikasi Batuan Dasar Pancang Pondasi Bangunan di Pulau Tarakan [PDF]

, 2018
The strength of the building foundation is strongly influenced by the type of soil layer that used as a foundation laying place. The higher the building to be built, the stronger the foundation to be made.
Aidil, R. (Rachmad), Faizal, R. (Rahmat), Muis, A. (Abdul)   +2 more
core  

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

PERMODELAN KONVERTER BOOST MULTILEVEL DENGAN KONTROL PID ANALOG SEBAGAI CATU DAYA MOBIL LISTRIK [PDF]

, 2016
Mobil listrik memanfaatkan motor listrik sebagai penggerak. Penggerak yang digunakan adalah motor DC, karena motor DC itu lebih mudah untuk diatur kecepatannya dari pada motor AC. Jenis konverter daya yang digunakan dalam aplikasi penggerak mobil listrik
Haadi, Ginanjar Kurnia
core  

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

High Gain Interleaved Boost Converter for Fuel Cell Applications [PDF]

, 2013
Fuel cell is one of the promising technologies for distributed generation. For designing high efficiency fuel cell power systems, a suitable DC-DC converter is required.
Anitha, R. (R), Bhavani, M. (M), Mahalakshmi, S. (S), Seyezhai, R. (R)   +3 more
core  

Research on Current Distribution Strategy Based on Interleaved Double Boost Converter [PDF]

, 2022
Pengcheng Wang, Chengchen Li, Junqi Liu, Xingchen Cao, Haoran Cui, Yi Zhang, Rui Wang   +6 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Analysis of transistor and snubber turn-off dynamics in high-frequency high-voltage high-power converters [PDF]

Dc to dc converters which operate reliably and efficiently at switching frequencies high enough to effect substantial reductions in the size and weight of converter energy storage elements are studied. A two winding current or voltage stepup (buck boost)
Owen, H. A., Jr., Wilson, P. M., Wilson, T. G.   +2 more
core   +1 more source