Results 291 to 300 of about 3,655,523 (362)
FAIRification of the DMRichR pipeline: advancing epigenetic research on environmental and evolutionary model organisms. [PDF]
Salam W, Wojewodzic MW, Frisch D.
europepmc +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
Vector Flows That Compute the Capacity of Discrete Memoryless Channels. [PDF]
Beretta G, Pelillo M.
europepmc +1 more source
This study explores geometry‐driven phase evolution in gyroid shell metamaterials made via laser powder bed fusion of 17‐4 precipitation hardened stainless steel. Locally hardened regions develop along the primary loading paths in the structure, which finite element analysis and geometric considerations link to enhanced gyroid strength.
Julia T. Pürstl+8 more
wiley +1 more source
Demographic interactions between the last hunter-gatherers and the first farmers. [PDF]
Cortell-Nicolau A+7 more
europepmc +1 more source
Refractory high‐entropy alloys have attracted substantial attention for future ultrahigh‐temperature structural applications. Here the progression of key phase transformations in AlMo0.5NbTa0.5TiZr is established and correlated to the mechanical performance, highlighting the importance of the B2 phase.
George J. Wise+5 more
wiley +1 more source
Signalling and social learning in swarms of robots. [PDF]
Cazenille L+7 more
europepmc +1 more source
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert+5 more
wiley +1 more source
Open problems in synthetic multicellularity. [PDF]
Solé R+5 more
europepmc +1 more source
Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
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