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pro vyhledávání: '"S., Ali"'
We propose a numerical algorithm that integrates quantum two-level systems (TLSs) into the finite-difference time-domain (FDTD) framework for simulating quantum emitters in arbitrary 3D photonic environments. Conventional methods struggle with these
Externí odkaz:
http://arxiv.org/abs/2410.16118
Quantum gates are essential elements for processing quantum information. However, realizing them in a photonic platform is challenging due to the unique way photons propagate and interfere. In this study, we introduce new design of quantum photonic g
Externí odkaz:
http://arxiv.org/abs/2410.01592
Both real and virtual photons can be involved in light-matter interactions. A famous example of the observable implications of virtual photons -- vacuum fluctuations of the quantum electromagnetic field -- is the Casimir effect. Since quantum vacuum
Externí odkaz:
http://arxiv.org/abs/2408.15504
Detecting behind-the-meter (BTM) equipment and major appliances at the residential level and tracking their changes in real time is important for aggregators and traditional electricity utilities. In our previous work, we developed a systematic solut
Externí odkaz:
http://arxiv.org/abs/2401.03352
The South Australia region of the Australian National Electricity Market (NEM) displays some of the highest levels of price volatility observed in modern electricity markets. This paper outlines an approach to probabilistic forecasting under these ex
Externí odkaz:
http://arxiv.org/abs/2311.07289
Autor:
Yuan, Rui, Pourmousavi, S. Ali, Soong, Wen L., Black, Andrew J., Liisberg, Jon A. R., Lemos-Vinasco, Julian
Many smart grid applications involve data mining, clustering, classification, identification, and anomaly detection, among others. These applications primarily depend on the measurement of similarity, which is the distance between different time seri
Externí odkaz:
http://arxiv.org/abs/2310.12399
Nonlinear light-matter interactions are typically enhanced by increasing the local field and its interaction time with matter. Conventional methods to achieve these goals are based on resonances or slow-light effects. However, these methods suffer fr
Externí odkaz:
http://arxiv.org/abs/2310.11674
Autor:
Dinh, Nam Trong, Karimi-Arpanahi, Sahand, Pourmousavi, S. Ali, Guo, Mingyu, Lemos-Vinasco, Julian, Liisberg, Jon A. R.
Optimal battery sizing studies tend to overly simplify the practical aspects of battery operation within the battery sizing framework. Such assumptions may lead to a suboptimal battery capacity, resulting in significant financial losses for a battery
Externí odkaz:
http://arxiv.org/abs/2310.02494
Autor:
Dinh, Nam Trong, Karimi-Arpanahi, Sahand, Yuan, Rui, Pourmousavi, S. Ali, Guo, Mingyu, Liisberg, Jon A. R., Lemos-Vinasco, Julian
Demand response (DR) plays a critical role in ensuring efficient electricity consumption and optimal use of network assets. Yet, existing DR models often overlook a crucial element, the irrational behaviour of electricity end users. In this work, we
Externí odkaz:
http://arxiv.org/abs/2309.09012
Autor:
Yehia A.-G. Mahmoud, Yasser H. El-Halmouch, Ebtsam E. Nasr, Yassin M. Al-Sodany, Baher A. El-Nogoumy, Sameh S. Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Biosurfactants are a diverse group of compounds derived from microorganisms, possessing various structures and applications. The current study was seeking to isolate and identify a new biosurfactant-producing fungus from soil contaminated wi
Externí odkaz:
https://doaj.org/article/89002add6d8248a584a306b666e159c3
