Results 101 to 110 of about 4,044,060 (386)
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 Epistemology of Quantum Physics
This book is about the epistemology of quantum physics and its interpretation as a scientific theory in its technical form. The contents of the book are essentially of non-formal nature although the formalism of quantum mechanics is also investigated (rather briefly) inline with the needs and requirements of the epistemological investigation and ...
openaire +1 more source
On quantum annealing without a physical quantum annealer
9 pages, 4 ...
Bhave, Ameya, Borle, Ajinkya
openaire +2 more sources
This study investigates the electrochemical synthesis and morphological control of TiO2 nanostructures, including nanotubes, nanograss, and nanolace. Adjusting anodization parameters establishes key aspects of growth mechanisms, providing a pathway for optimizing TiO2 nanostructures for applications in sensors and nanotechnology. Titanium dioxide (TiO2)
Younghwan Kim, Swomitra Kumar Mohanty
wiley +1 more source
Welcome to Atoms: A New Open Access Journal
There is no doubt that it is an exciting time to be studying quantum properties of atoms, molecules, and nuclei. Increasingly deep connections between long-established fields: “atomic physics”, “molecular physics”, “chemical physics”, “nuclear physics”, “
James F. Babb
doaj +1 more source
Physical Entity As Quantum Information [PDF]
Quantum mechanics was reformulated as an information theory involving ageneralized kind of information, namely quantum information, in the end of the last century.Quantum mechanics is the most fundamental physical theory referring to all claiming to bephysical. Any physical entity turns out to be quantum information in the final analysis.
openaire +6 more sources
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
Relativistic quantum effects of Dirac particles simulated by ultracold atoms
Quantum simulation is a powerful tool to study a variety of problems in physics, ranging from high-energy physics to condensed-matter physics. In this article, we review the recent theoretical and experimental progress in quantum simulation of Dirac ...
A. Bermudez+144 more
core +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
Nonlinear Dynamics In Quantum Physics -- Quantum Chaos and Quantum Instantons [PDF]
We discuss the recently proposed quantum action - its interpretation, its motivation, its mathematical properties and its use in physics: quantum mechanical tunneling, quantum instantons and quantum chaos.
arxiv