Results 71 to 80 of about 2,442,732 (352)

Designing Physical Unclonable Functions From Optically Active Materials

Advanced Materials, EarlyView.
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen, Junfang Zhang, Molly M. Stevens   +2 more
wiley   +1 more source

Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning

IEEE Access
The globalization of the hardware supply chain reduces costs but increases security challenges with the potential insertion of hardware trojans by third parties.
Victor Takashi Hayashi, Wilson Vicente Ruggiero   +1 more
doaj   +1 more source

Reconfigurable Liquid Crystal‐Based Physical Unclonable Function Integrating Optical and Electrical Responses

Advanced Materials, EarlyView.
Reconfigurable physical unclonable function (PUF) integrating optical and electrical responses in organic field‐effect transistor is developed by using unique optical fingerprint textures and random molecular alignment of the semiconductive smectic liquid crystal. This approach enhances security by enabling hierarchical authentication, providing robust
Hee Seong Yun, Dayan Wei, Sungjun Yang, Geonhyeong Park, Min Seok Kim, Tae Joo Shin, David M. Walba, Moon Jong Han, Dong Ki Yoon   +8 more
wiley   +1 more source

A Practical Recovery Mechanism for Blockchain Hardware Wallets

IEEE Access
Blockchain hardware wallets, through their security-by-design architecture, offer higher security assurances. They fundamentally differ from software wallets due to an important security property called Unicity.
Varun Deshpande, Harish J, Atharva Vijay Khade   +2 more
doaj   +1 more source

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Advanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş, Mahshid Reshadsedghi, Mustafa Şen, Volkan Kılıç, Nesrin Horzum   +4 more
wiley   +1 more source

Heterojunction‐Driven Stochasticity: Bi‐Heterojunction Noise‐Enhanced Negative Transconductance Transistor in Image Generation

Advanced Materials, EarlyView.
This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han, Ryun‐Han Koo, Jaechan Song, Chang‐Hyun Kim, Eun Kwang Lee, Wonjun Shin, Hocheon Yoo   +6 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Recent Advances of Volatile Memristors: Devices, Mechanisms, and Applications

Advanced Intelligent Systems, 2020
Due to the rapid development of artificial intelligence (AI) and internet of things (IoTs), neuromorphic computing and hardware security are becoming more and more important. The volatile memristors, which feature spontaneous decay of device conductance,
Ruopeng Wang, Jia-Qin Yang, Jing-Yu Mao, Zhan-Peng Wang, Shuang Wu, Maojie Zhou, Tianyi Chen, Ye Zhou, Su-Ting Han   +8 more
doaj   +1 more source

Bioinspired, Rapidly Responsive Magnetically Tunable Stiffness Metamaterials

Advanced Materials, EarlyView.
A 3D array of magnetoactive mechanical metamaterials enables rapid and reversible stiffness modulation under external magnetic fields. By adjusting field direction and intensity, the system exhibits diverse deformation modes and tunable modulus. This fast‐responding mechanical metamaterial offers real‐time adaptability for advanced reconfigurable and ...
Gooyoon Chung, Huy Le Quang, Jung Hyun Kim, Jeongmin Yoo, Seung Kwon Seol, Yoonseok Park   +5 more
wiley   +1 more source

Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture

Advanced Materials, EarlyView.
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim, Seongil Im, In Cheol Kwak, Jungwha Lee, Dong Gue Roe, Hyunsu Ju, Jeong Ho Cho   +6 more
wiley   +1 more source