Results 121 to 130 of about 2,515 (288)
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
This study establishes a dual‐channel optical metrology framework integrating phase‐shifting imaging ellipsometry and deep‐UV reflectance imaging. This label‐free approach enables simultaneous, time‐resolved mapping of film thickness and nanoparticle (NP) concentration in dynamic nanofluid thin films.
Eita Shoji +3 more
wiley +1 more source
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 +5 more
wiley +1 more source
A Searchable Encryption Scheme Based on CRYSTALS-Dilithium
With the advancement in quantum computing technology, the number theory-based hard problems underlying traditional searchable encryption algorithms are now vulnerable to efficient quantum attacks.
Minghui Zheng +3 more
doaj +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Shaping Carbon Nitrides for Advanced Macrostructures
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley +1 more source
Multi-user Searchable Encryption in the Cloud
International audienceWhile Searchable Encryption (SE) has been widely studied, adapting it to the multi-user setting whereby many users can upload secret files or documents and delegate search operations to multiple other users still remains an ...
Cédric Van Rompay +5 more
core +1 more source
Research on Dynamic Searchable Encryption Method Based on Bloom Filter
Data outsourcing has become more and more popular due to its low cost and flexibility. However, there is a problem that the cloud server used to store data is partially trusted.
Ziqi Jin +3 more
doaj +1 more source
Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam +2 more
wiley +1 more source
Privacy-Preserving Keyword Search With Access Control for Secret Sharing-Based Data Outsourcing
Searchable encryption, also known as secure search, is a technology that enables search operations on encrypted data while maintaining confidentiality.
Ahmad Akmal Aminuddin Mohd Kamal +2 more
doaj +1 more source

