Results 61 to 70 of about 12,573 (260)

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

Advanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase, Varsha C. Pujari, Akash V. Fulari, Sunil M. Patange, Sean Li, Danyang Wang, Sagar E. Shirsath   +6 more
wiley   +1 more source

Effective Modeling of CO₂ Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection

Energies
Predictive modeling is important for assessing and reducing energy consumption and CO2 emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been fully analyzed, and the rich features of the data pose challenges in prediction ...
Hang Thi Thanh Vu, Jeonghan Ko
doaj   +1 more source

Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells

Advanced Materials, EarlyView.
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir, Lourdes F. Vega, Maryam Khaleel   +2 more
wiley   +1 more source

Research on Energy Saving for Hybrid Tractor Based on Working Condition Prediction and DDPG-Fuzzy Control

World Electric Vehicle Journal
To significantly reduce fuel consumption and improve fuel economy in hybrid tractor under complex working conditions, an energy—saving strategy based on working condition prediction and Deep Deterministic Policy Gradient and Fuzzy control (DDPG-Fuzzy ...
Shilong Fan, Xianghai Yan, Shuaishuai Ge, Junjiang Zhang, Mengnan Liu   +4 more
doaj   +1 more source

Nonwoven‐Based Textile Architectures for Energy Storage Applications: Materials, Preparation, Characterization, and Prospects

Advanced Materials Interfaces, EarlyView.
Nonwoven textile architectures are emerging as versatile platforms for next‐generation energy storage, demonstrating how tailored materials and fabrication strategies enhance ion transport, conductivity, flexibility, and scalability for high‐performance sustainable devices.
Tarikul Islam, Md. Hanif Munshi, Rijon Saha, Shaikh Almoon Hussain, Aqib Adnan Shafin, Shumsul Arefin, Md. Kamruzzaman   +6 more
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Energy parameter modeling in plug-in hybrid electric vehicles using supervised machine learning approaches

e-Prime: Advances in Electrical Engineering, Electronics and Energy
In this study, supervised machine learning techniques like random forest (RF), K-nearest neighbour (KNN), multiple linear regression (MLR), and artificial neural networks (ANNs) were used to predict energy parameters in plug-in hybrid electric vehicles ...
Bukola Peter Adedeji
doaj   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

Advanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee, Rocco Lupoi, Michael J. Gibbons   +2 more
wiley   +1 more source

Explainable machine learning-based prediction of fuel consumption in ship main engines using operational data

Brodogradnja
A significant percentage of fuel consumption and emissions from transportation activities is related to maritime transportation. Hence, accurate prediction models for fuel consumption are quite important. Machine learning offers a data-driven approach to
Anh Tuan Hoang, Thi Anh Em Bui, Xuan Phuong Nguyen, Van Hung Bui, Quang Chien Nguyen, Thanh Hai Truong, Nghia Chung   +6 more
doaj   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source