Results 251 to 260 of about 3,545,542 (409)

Description of the U.S. Coast and Geodetic Survey tide-predicting machine, no. 2

, 1915

openalex   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
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, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Machine learning based prediction modeling of micro-EDM of Ti-29Nb-13Ta-4.6Zr (TNTZ). [PDF]

Sci Rep
Ali S, Talamona D, Perveen A.
europepmc   +1 more source

On the design of the Gear End at the Spinning Machine

, 1952
Hideharu Tanaka, Kunio Okabayashi
openalex   +2 more sources

Notes of experiments upon Mr. Edison's dynamometer, dynamo-machine and lamp [PDF]

, 1880
C. F. Brackett, C. A. Young
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
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

Transcriptomics insight into occupational exposure to engineered nanoparticles. [PDF]

Nanomedicine (Lond)
Simova Z, Sima M, Pelclova D, Klusackova P, Zdimal V, Schwarz J, Maskova L, Klema J, Dvorackova S, Rossner P, Rossnerova A.   +10 more
europepmc   +1 more source

The Production of sweet-orange oil and a new machine for peeling citrus fruits

, 1916
G. A. Russell
openalex   +2 more sources

The Magnetic Circuit of Dynamo Machines [PDF]

, 1887
W.E. Ayrton, John Perry
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
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, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source