Results 121 to 130 of about 24,248 (246)

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Implementasi Metode Term Frequency Inverse Document Frequency (Tf-Idf) pada Sistem Temu Kembali Informasi

open access: yes, 2008
This writing final duty aim to comprehend a Term Frequency Inverse Document Frequency (TF-IDF) document weighting method and to develop an software to implement it. This software could facilitate user to get the relevant documents based on the entered
Zafikri, Atika
core  

Construction of health status recognition and prediction model for power communication equipment based on TFIDF-COS

open access: yesEnergy Informatics
When power communication equipment malfunctions, the stability and safety of the power grid are compromised. This is due to the health status of the equipment.
Jianliang Zhang   +7 more
doaj   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

open access: yesAdvanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen   +7 more
wiley   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

open access: yesAdvanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko   +2 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Implementasi Metode K-Nearest Neighbour Dengan Pembobotan Dan Inverse Class Frequency Untuk Klasifikasi Dokumen Berita

open access: yes, 2018
Tujuan penelitian ini adalah mengimplementasikan metode k-nearest neighbour dengan pembobotan term frequency, inverse document frequency dan inverse class frecuency untuk klasifikasi dokumen berita.Data ini diperoleh dari (1) Penelitian Lapangan (2 ...
Muh. Zulkifli Nasir
core  

Defect‐Engineered Microwave‐Responsive Ni@C Composites From Waste PET for Catalytic Plastic Upcycling

open access: yesAdvanced Materials, EarlyView.
A circular upcycling strategy transforms waste poly(ethylene terephthalate) bottles into microwave‐responsive Ni@C catalyst featuring lattice‐distorted nickel cores and defective carbon shells. These strain‐rich heterointerfaces enhance dielectric loss and promote localized microwave hotspots, accelerating peroxymonosulfate activation and polymer‐chain
Xiao Lu   +7 more
wiley   +1 more source

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