Results 81 to 90 of about 1,416 (297)

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

Advanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao, Zhengyang Cao, Guangjun Zhong, Limin Shi, Junxia Xie, Jianhua Hao   +5 more
wiley   +1 more source

FPGA multi-unit parallel optimization and implementation of post-quantum cryptography CRYSTALS-Kyber

Tongxin xuebao, 2022
In lattice-based post-quantum cryptography, polynomial multiplication is complicated and time-consuming.In order to improve the computational efficiency of lattice cryptography in practical applications, an FPGA multi-unit parallel optimization and ...
Bin LI, Xiaojie CHEN, Feng FENG, Qinglei ZHOU   +3 more
doaj   +2 more sources

The Ring-LWE Problem in Lattice-Based Cryptography: The Case of Twisted Embeddings. [PDF]

Entropy (Basel), 2021
Ortiz JN, de Araujo RR, Aranha DF, Costa SIR, Dahab R.   +4 more
europepmc   +1 more source

Self‐Assembled Gallium Sulfide (GaS) Heterostructures Enabling Efficient Water Splitting and Selective Ammonia Sensing

Advanced Functional Materials, EarlyView.
Gallium sulfide (GaS) forms self‐assembled heterostructures with its native oxide, exhibiting high performance in water splitting and ultrasensitive and selective ammonia detection. Surface defects and controlled oxidation enhance catalytic activity and sensing response.
Danil W. Boukhvalov, Gianluca D'Olimpio, Tsotne Dadiani, Jyayasi Sharma, Ashraf Abdelrahman Assadig Elameen, Stefano Zenone, Marcin Rosmus, Bekir Gürbulak, Emir Çepni, Eduard Llobet, Elena Magnano, Federica Bondino, Songül Duman, Antonio Politano   +13 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Sparse polynomial multiplication for lattice-based cryptography with small complexity

The Journal of Supercomputing, 2015
In this paper, we propose efficient modular polynomial multiplication methods with applications in lattice-based cryptography. We provide a sparse polynomial multiplication to be used in the quotient ring $$({\mathbb {Z}}/ p{\mathbb {Z}}) [x] / (x^{n}+1)$$(Z/pZ)[x]/(xn+1).
Akleylek, Sedat, Alkim, Erdem, Tok, Zaliha Yuce   +2 more
openaire   +5 more sources

Emergence of Local Magnetic Moment in Ternary TaWSe2 Single Crystal via Atomic Clustering

Advanced Functional Materials, EarlyView.
This study investigates local magnetic moments in ternary TaWSe2. Triangular Ta clusters with consistent shapes are identified through STM/S, and DFT calculations. These clusters induce localized strain, generating magnetic moments at the cluster corners. Magnetic measurements confirm a magnetic anomaly at ∼50 K.
Nguyen Huu Lam, Md Nurul Huda, Kisung Kang, Jae‐Hyeok Ko, Zheng Gai, Yeong Gwang Khim, Young Jun Chang, Youngsu Choi, Kwang‐Yong Choi, Ganbat Duvjir, Nguyen‐Hoang Dang, Aloysius Soon, Jewook Park, Jungdae Kim   +13 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

High-speed Parallel Implementation of Lattice-based Cryptography Based on AVX512 [PDF]

Jisuanji gongcheng
The rapid development of quantum computing seriously threatens the security of widely used public-key cryptography. Lattice-based cryptography occupies an essential position in Post-Quantum Cryptography(PQC) owing to its excellent anti-quantum security ...
Douwei LEI, Debiao HE, Min LUO, Cong PENG
doaj   +1 more source

Lattice-based threshold cryptography

, 2020
Ever since the appearance of quantum computers, prime factoring and discrete logarithm based cryptography has been put in question, giving birth to the so called post-quantum cryptography. The goal of this bachelor's degree thesis is to develop a post-quantum threshold cryptosystem, in particular based on Ring Learning with Errors, a lattice-based ...
openaire   +1 more source