Results 31 to 40 of about 844,518 (291)
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
The Wigner–Araki–Yanase theorem and the quantum resource theory of asymmetry
The Wigner–Araki–Yanase (WAY) theorem establishes an important constraint that conservation laws impose on quantum mechanical measurements. We formulate the WAY theorem in the broader context of resource theories, where one is constrained to a subset of ...
Mehdi Ahmadi+2 more
doaj +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Quasi-autonomous quantum thermal machines and quantum to classical energy flow
There are both practical and foundational motivations to consider the thermodynamics of quantum systems at small scales. Here we address the issue of autonomous quantum thermal machines that are tailored to achieve some specific thermodynamic primitive ...
Max F Frenzel+2 more
doaj +1 more source
Tailoring the oxygen redox reactivity in Li-rich cathode is crucial for developing high-energy batteries. Here, the authors report a strategy to obtain a flexible crystal structure and enhance the oxygen redox reversibility.
Qingyuan Li+9 more
doaj +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Quantum jumps are more quantum than quantum diffusion
It was recently argued (Wiseman and Gambetta 2012 Phys. Rev. Lett. http://dx.doi.org/10.1103/PhysRevLett.108.220402 108 http://dx.doi.org/10.1103/PhysRevLett.108.220402 ) that the stochastic dynamics (jumps or diffusion) of an open quantum system are not
Shakib Daryanoosh, Howard M Wiseman
doaj +1 more source
Hybrid Framework Materials: Next‐Generation Engineering Materials
Hybrid organic–inorganic materials merge the unique properties of organic and inorganic compounds, enabling applications in optoelectronics, gas storage, and catalysis. This review explores metal‐organic frameworks, hybrid organic–inorganic perovskites, and the emerging field of hybrid glasses, emphasizing their structures, functionalities, and ...
Jay McCarron+2 more
wiley +1 more source
Integrable crosscaps in classical sigma models
We study the integrable boundaries and crosscaps of classical sigma models. We show that there exists a classical analog of the integrability condition and KT-relation of the boundary and crosscap states of quantum spin chains.
Tamas Gombor
doaj +1 more source
Optimal Control of Molecular Motion Expressed Through Quantum Fluid Dynamics [PDF]
A quantum fluid dynamic control formulation is presented for optimally manipulating atomic and molecular systems. In quantum fluid dynamic the control quantum system is expressed in terms of the probability density and the quantum current. This choice of variables is motivated by the generally expected slowly varying spatial-temporal dependence of the ...
arxiv +1 more source