Results 151 to 160 of about 7,163,355 (354)
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
Critical Phenomena for Spitzer's Reversible Nearest Particle Systems [PDF]
David Griffeath, Thomas M. Liggett
openalex +1 more source
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian+4 more
wiley +1 more source
Quantum critical phenomena in a compressible displacive ferroelectric. [PDF]
Coak MJ+5 more
europepmc +1 more source
Can percolation theory be applied to critical phenomena at gel points? [PDF]
D. Stauffer
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This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis+3 more
wiley +1 more source
Grassmann techniques applied to classical spin systems
We review problems involving the use of Grassmann techniques in the field of classical spin systems in two dimensions. These techniques are useful to perform exact correspondences between classical spin Hamiltonians and field-theory fermionic actions ...
M. Clusel, J.-Y. Fortin
doaj +1 more source
Dynamic and Renormalization-Group Extensions of the Landau Theory of Critical Phenomena. [PDF]
Grmela M, Klika V, Pavelka M.
europepmc +1 more source
Critical phenomena and thermodynamics of dilute aqueous sodium chloride to 823 K [PDF]
Kenneth S. Pitzer, Yigui Li
openalex +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