Results 81 to 90 of about 13,211,355 (228)

Secure quantum random number generation with perovskite photonics

In the field of cryptography, it is crucial that the random numbers used in key generation are not only genuinely random but also private, meaning that no other party than the legitimate user must have information about the numbers generated.
Bao, Chunxiong,, Xavier, Guilherme B,, Alarcon, Alvaro,, Kuang, Chaoyang,, Argillander, Joakim,, Gao, Feng,, Lima, Gustavo,   +6 more
core   +1 more source

Optical quantum random number generator

, 1999
A physical random number generator based on the intrinsic randomness of quantum mechanics is described. The random events are realized by the choice of single photons between the two outputs of a beamsplitter.
André Stefanov, Gisin, Nicolas, Hugo Zbinden, Guinnard, Olivier, Nicolas Gisin, Olivier Guinnard, Guinnard, Laurent, Stefanov, André, Laurent Guinnard, Zbinden, Hugo   +9 more
core   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

An ultra-fast quantum random number generation scheme based on laser phase noise

Communications Physics
Quantum random number generators allow for access of a truly unpredictable random sequence. A popular scheme is based on the laser phase noise, which, however, is generally limited in speed and implementation complexity, especially for chip integration ...
Jie Yang, Mei Wu, Yichen Zhang, Yang Li, Wei Huang, Heng Wang, Yan Pan, Qi Su, Yiming Bian, Haoyuan Jiang, Song Yu, Bingjie Xu, Bin Luo, Hong Guo   +13 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A simple quantum generator of random numbers

Emergent Scientist, 2017
Cryptography techniques rely on chains of random numbers used to generate safe encryption keys. Since random number generator algorithms are in fact pseudo-random their behavior can be predicted if the generation method is known and as such they cannot ...
Roussille Hugo, Djadaojee Lionel, Chevy Frédéric   +2 more
doaj   +1 more source

Strong experimental guarantees in ultrafast quantum random number generation [PDF]

, 2015
We describe a methodology and standard of proof for experimental claims of quantum random-number generation (QRNG), analogous to well-established methods from precision measurement.
Mitchell, Morgan W, Abellán, Carlos, 1990-, Mitchell, Morgan W., Amaya, Waldimar   +3 more
core   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

Advanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source