Results 101 to 110 of about 177,417 (264)

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

COFs on MOFs: Layer‐by‐Layer Synthesis of MOF@COF Nanoparticles with Synergistic Adsorption

Advanced Materials, EarlyView.
A layer‐by‐layer strategy enables the growth of crystalline covalent organic framework (COF) shells on metal–organic framework nanoparticles, creating core–shell structures with tunable porosity. Ordered interstitial mesopores are formed during shell growth, which are connected with the COF's intrinsic micropores, thereby enhancing water sorption. This
Ana Guillem‐Navajas, Lucía Torrico‐García‐Viso, Jose Antonio Suárez del Pino, Nekane Aramburu‐Merino, Pilar Segovia, Enrique G. Michel, Josep Puigmartí‐Luis, Enrique Velasco, Pedro Tarazona, Daniel Maspoch, David Rodríguez‐San‐Miguel, Félix Zamora   +11 more
wiley   +1 more source

Hybrid algorithm for the detection of turbulent flame fronts. [PDF]

Exp Fluids, 2023
Chaib O, Zheng Y, Hochgreb S, Boxx I.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Optimizing Generation Cost and Reducing Gas Emissions in Power Generation Using the Artificial Bee Rabbit Optimization Algorithm

International Islamic University Malaysia Engineering Journal
This study develops a hybrid metaheuristic optimization algorithm named Artificial Bee Rabbit Optimization (ABRO) to improve generation cost efficiency and reduce gas emissions in power generation systems.
Wei Wen Lee, Mohd Ruzaini Hashim, Chin Kim Gan   +2 more
doaj   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Evolution of Electrical Vehicles, Battery State Estimation, and Future Research Directions: A Critical Review

IEEE Access
The crucial function of Battery management systems in the world of electric vehicles is thoroughly examined in this extensive article. With the popularity of Electric vehicles skyrocketing, accurate state-of-charge estimation has emerged as a critical ...
Arun Jose, Sonam Shrivastava
doaj   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

A substation robot path planning algorithm based on deep reinforcement learning enhanced by ant colony optimization

Frontiers in Robotics and AI
Substation robots face significant challenges in path planning due to the complex electromagnetic environment, dense equipment layout, and safety-critical operational requirements. This paper proposes a path planning algorithm based on deep reinforcement
Hongwei Zhang, Lijun Sun, Weihong Tan, Siyu Bao, Siyu Bao, Xing He, Jinguo Chen   +6 more
doaj   +1 more source