Results 211 to 220 of about 1,726,359 (308)

Quantum Key Distribution Using Vacuum-One-Photon Qubits: Maximum Number of Transferable Bits per Particle [PDF]

, 2009
Su-Yong Lee, Se-Wan Ji, Hai-Woong Lee, Jae-Weon Lee, János A. Bergou   +4 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Rate-Adaptive Information Reconciliation for CV-QKD Systems at Low Signal-to-Noise Ratios. [PDF]

Entropy (Basel)
Fu H, Dai J, Feng Y, Hai H, Ge H, Huang P, Jiang XQ.   +6 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Experimental coherent one-way quantum key distribution with simplicity and practical security. [PDF]

Sci Adv
Cao XY, Sun XR, Li MY, Lu YS, Yin HL, Chen ZB.   +5 more
europepmc   +1 more source

Key Recovery Algorithm from Randomly-Given Bits of Multi-Prime RSA and Prime Power RSA

, 2016
Yoo-Jin Baek
openalex   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

Advanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin, Wenhao Wang, Thomas Caiwei Tan, Abhishek Kumar, Ridong Jia, Nikhil Navaratna, Ranjan Singh, Lijuan Xie   +7 more
wiley   +1 more source

Safe image transmission with hybrid quantum key-genetic encryption via spatial modulation assisted NOMA. [PDF]

Sci Rep
Thennavan S, Jayapalan A.
europepmc   +1 more source

Breaking a 5-Bit Elliptic Curve Key using a 133-Qubit Quantum Computer [PDF]

Steve Tippeconnic
openalex   +1 more source

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source