Results 261 to 270 of about 2,833,823 (377)
Disruption of recombination machinery alters the mutational landscape in plant organellar genomes. [PDF]
G3 (Bethesda)Waneka G +5 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Discovery of additional genomic segments reveals the fluidity of jingmenvirus genomic organization. [PDF]
Virus EvolValle C +3 more
europepmc +1 more source
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
XI.—Notes on the Buildings, Books, and Benefactors of the Library of the Dean and Chapter of the Cathedral Church of Wells [PDF]
, 1901 Coptic Church
openalex +1 more source
Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
Advanced Engineering Materials, EarlyView.This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco +8 more
wiley +1 more source