Results 261 to 270 of about 2,766 (314)

Toward Useful Quantum Kernels

Advanced Quantum Technologies, EarlyView.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro   +2 more
wiley   +1 more source

Charge-Potential Model of Ligand Field in Lanthanide Complexes in the Single-Electron Space. [PDF]

Inorg Chem
Waldmann O.
europepmc   +1 more source

Terahertz Quantum Imaging

Advanced Quantum Technologies, EarlyView.
The presented quantum imaging technique allows the measurement of spatial amplitude, phase, and spectral information of terahertz radiation after interaction with a sample by only detecting visible photons with a standard, uncooled camera. It offers a promising alternative to traditional terahertz imaging methods like electro‐optical and upconversion ...
Mirco Kutas, Felix Riexinger, Jens Klier, Daniel Molter, Georg von Freymann   +4 more
wiley   +1 more source

Understanding the Association Between Bitcoin Mining and Environmental Sustainability in Light of the Sustainable Development Goals Through the DARDL and KRLS Methods

Sustainable Development, EarlyView.
ABSTRACT Assuring environmental sustainability is essential for the continuity of the ecosystem. Every sector of the economy has some degree of impact on environmental sustainability. The United Nations (UN)’ Sustainable Development Goals (SDGs) have placed these objectives within a broader global framework, offering a global plan aimed at ensuring ...
Ali Çelik, Metehan Özırmak
wiley   +1 more source

Microscale Templating of Functional Particles Using Self‐Limiting Electrospray Deposition

Small, EarlyView.
Self‐limiting electrospray deposition (SLED) uses trapped charge in a growing film to redirect incoming material and produce highly targeted and uniform sprays. Here, nanoparticles are added to sprays to functionalize pre‐patterned electrodes and other devices.
Michael J. Grzenda, Jouan Yu, Maria Atzampou, Christopher E. Shuck, Yury Gogotsi, Jeffrey D. Zahn, Jonathan P. Singer   +6 more
wiley   +1 more source

Almost Periodicity and Degenerate Parabolic Equations

Rocky Mountain Journal of Mathematics, 1991
openaire   +2 more sources

Charge Transport Across Single Molecules at the Metal–Superconductor Interface

Small, EarlyView.
The evolution of Andreev reflection in single‐molecule junctions is probed with the decreasing distance between a normal‐metal tip and a conventional superconductor. Andreev reflection becomes most effective when a molecular orbital straddles the Fermi level.
Lorenz Meyer, Maximilian Kögler, Ankur Das, Jose Luis Lado, Nicolas Néel, Jörg Kröger   +5 more
wiley   +1 more source

Lattice vibration modes and electron-phonon interactions in monolayer vs. bilayer of transition metal dichalcogenides. [PDF]

RSC Adv
Menéndez-Proupin E, Morell ES, Marques GE, Trallero-Giner C.   +3 more
europepmc   +1 more source

Atomic Force Microscopy Reveals Differences In Mechanical Properties Linked To Cortical Structure In Mouse And Human Oocytes

Small, EarlyView.
Using Atomic Force Microscopy, the link between oocyte mechanical properties and actin cortex organization is investigated. In mouse oocytes, a thin actin cortex results in stiffer oocytes, while a thicker cortex leads to softer ones. Maternal age affects oocyte mechanics by altering cortex structure.
Rose Bulteau, Lucie Barbier, Guillaume Lamour, Yassir Lemseffer, Marie‐Hélène Verlhac, Nicolas Tessandier, Elsa Labrune, Martin Lenz, Marie‐Emilie Terret, Clément Campillo   +9 more
wiley   +1 more source

Thermal Imaging for Quality Control in Thin Silicon‐Based Coatings for Lithium‐Ion Batteries: Defect Detection, Drying Dynamics, and Machine Learning‐Based Mass Loading Estimation

Small Methods, EarlyView.
Thermal imaging offers a non‐destructive approach to quality control in silicon‐based lithium‐ion battery electrodes, enabling the detection of defects, variations in mass loading, and the monitoring of drying dynamics. This study introduces an automated defect‐detection‐algorithm and a machine learning‐based Random Forest model to estimate mass ...
Adil Amin, Philipp Valentin Geiping, Ahammed Suhail Odungat, Fatih Özcan, Doris Segets   +4 more
wiley   +1 more source