Results 21 to 30 of about 356 (161)

Impedance‐Matched High‐Overtone Thickness‐Shear Bulk Acoustic Resonators With Scalable Mode Volume

Advanced Science, EarlyView.
A bottom‐electrode‐free high‐overtone bulk acoustic resonator is achieved by lateral excitation of antisymmetric thickness‐shear modes on a lithium‐niobate‐on‐silicon platform. Planar electrode geometry eliminates conventional loading along the resonance path and confines acoustic energy within the electrode gap.
Zi‐Dong Zhang, Zhen‐Hui Qin, Yi‐Han He, Yun‐Fei Cheng, Hao Yan, Si‐Yuan Yu, Ming‐Hui Lu, Yan‐Feng Chen   +7 more
wiley   +1 more source

Statistical mechanics of vortices from field theory

, 1999
Kajantie K, Laine M, Neuhaus T, Rajantie A, Rummukainen K. Statistical mechanics of vortices from field theory. NUCLEAR PHYSICS B. 1999;559(1-2):395-428.We study with lattice Monte Carlo simulations the interactions and macroscopic behavior of a large ...
Rummukainen, K., Neuhaus, Thomas, Rummukainen, K, Rajantie, A., Laine, Mikko ; https://orcid.org/, Neuhaus, T., Rajantie, A, Kajantie, K., Kajantie, K, Laine, M.   +9 more
core   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Electrical analog of a Josephson junction [PDF]

, 1979
It is noted that a mathematical description of the phase-coupling of two oscillators synchronized by a phase-lock-loop under the influence of thermal white noise is analogous to that of the phase coupling of two superconductors in a Josephson junction ...
Goldman, A. M.
core   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Between classical and quantum [PDF]

, 2005
The relationship between classical and quantum theory is of central importance to the philosophy of physics, and any interpretation of quantum mechanics has to clarify it.
Landsman, Nicolaas P.
core  

Relaxation of the entanglement spectrum in quench dynamics of topological systems

, 2017
We study how the entanglement spectrum relaxes to its steady state in one-dimensional quadratic systems after a quantum quench. In particular we apply the saddle point expansion to the dimerized chains and 1-D p-wave superconductors.
Yi-Hao Jhu, Pochung Chen, Ming-Chiang Chung   +2 more
core   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source