Results 71 to 80 of about 3,809 (250)
High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties
Advanced Functional Materials, EarlyView.High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker +14 more
wiley +1 more source
Evaluation of Post-Quantum Distributed Ledger Cryptography
The Journal of The British Blockchain Association, 2019 This paper evaluates the current cybersecurity vulnerability of the prolific use of Elliptical Curve Digital Signature Algorithm (**ECDSA**) cryptography in use by the Bitcoin Core, Ethereum, Bitcoin Cash, and enterprise blockchains such as Multi-Chain ...
Robert Campbell Sr.
doaj +2 more sources
Deterministic hBN Bubbles as a Versatile Platform for Studies on Single‐Photon Emitters
Advanced Functional Materials, EarlyView.Single‐photon emitters (SPEs) in hBN are promising for quantum technologies; however, in exfoliated samples their activation is required, limiting reproducibility of previous studies. This work introduces a large‐area MOVPE‐grown hBN platform that hosts SPEs without prior activation.
Piotr Tatarczak +8 more
wiley +1 more source
Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4
Advanced Functional Materials, EarlyView.An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante +17 more
wiley +1 more source
IEEE Open Journal of the Computer SocietyQuantum cryptography has the potential to secure the infrastructures that are vulnerable to various attacks, like classical attacks, including quantum-related attacks.
Mohammad Wazid +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Strong exciton‐photon coupling is achieved by integrating porphyrin ligand‐based MOF nanoparticles in optical cavities, as evidenced by pronounced polariton branch anticrossing. The porous nature of the resonator enables precise, reversible tuning via vapor pressure, unlocking unprecedented chemical‐environment controlled dynamic polaritonic platforms ...
Beatriz de Sola‐Báez +7 more
wiley +1 more source
Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6
Advanced Functional Materials, EarlyView.Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl +20 more
wiley +1 more source
Quantum key distribution through quantum machine learning: a research review
Frontiers in Quantum Science and TechnologyQuantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols plays a crucial role in enhancing security measures ...
Krupa Purohit, Ajay Kumar Vyas
doaj +1 more source
Quantum Computing Paradigms Implications for Cryptography and Data Security in Information Systems [PDF]
ITM Web of ConferencesQuantum computing has the potential to transforming computational paradigms, posing both a threat and an opportunity to contemporary cryptographic systems and data security frameworks.
Kumar Bathala Naresh +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source