Results 111 to 120 of about 8,961 (241)

Electronic Correlation Effects in the Response of Graphene and MoS2 Monolayers to the Impact of Highly‐Charged Ions

open access: yesphysica status solidi (b), EarlyView.
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato   +4 more
wiley   +1 more source

Subspace identification and classification of healthy human gait. [PDF]

open access: yesPLoS One, 2013
von Tscharner V, Enders H, Maurer C.
europepmc   +1 more source

Quantum Resonator as a Directional Quantum Emitter

open access: yesAdvanced Quantum Technologies, EarlyView.
A single‐photon source based on a two‐photon Jaynes–Cummings system features a resonator acting as the quantum emitter rather than the two‐level system. In this configuration, enhanced efficiency, purity, and indistinguishability are achieved, while robustness against dephasing, reduced energy dissipation, and broader implementation prospects for ...
Luiz O. R. Solak   +4 more
wiley   +1 more source

Uncovering Exotic Topological Quantum States in Pure and Magnetically‐Doped Pyrite OsS2

open access: yesAdvanced Quantum Technologies, EarlyView.
Pyrite‐structured OsS2 is identified as a fragile topological insulator with an unprecedented 602 meV bandgap, featuring helical surface states and van Hove singularities amenable to ARPES verification. Magnetic doping with Pd, Fe, Ni, or Co induces phase transitions to strong topological insulators, semimetals, 3D quantum anomalous Hall insulators ...
Ali Sufyan   +9 more
wiley   +1 more source

Loss Behavior in Supervised Learning With Entangled States

open access: yesAdvanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl   +4 more
wiley   +1 more source

Output Feedback Design for Parameter Varying Systems Subject to Persistent Disturbances and Control Rate Constraints

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper develops a framework for designing output feedback controllers for constrained linear parameter‐varying systems that experience persistent disturbances. We specifically propose an incremental parameter‐varying output feedback control law to address control rate constraints, as well as state and control amplitude constraints.
Jackson G. Ernesto   +2 more
wiley   +1 more source

The Pier Luigi Nervi's concrete structure of Palazzetto dello Sport: Modeling and dynamic characterization

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella   +2 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi   +5 more
wiley   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy