Results 261 to 270 of about 295,907 (320)
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
A lightweight encryption algorithm for resource-constrained IoT devices using quantum and chaotic techniques with metaheuristic optimization. [PDF]
Aljaedi A+5 more
europepmc +1 more source
Encryption of Digital Image Using Polyharmonic Function
Tadashi Kobayashi+3 more
openalex +2 more sources
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Combined compression and encryption of linear wireless sensor network data using autoencoders. [PDF]
Shylashree N, Kumar S, Min H.
europepmc +1 more source
Optical image encryption by use of double random phase mask and analysis of its encryption level
openalex +2 more sources
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu+73 more
wiley +1 more source
The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source
Cross-Layer Analysis of Machine Learning Models for Secure and Energy-Efficient IoT Networks. [PDF]
Mustafa R+4 more
europepmc +1 more source
Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir+8 more
wiley +1 more source