Results 211 to 220 of about 848,123 (320)
Kaon Physics: What the Future Holds in Probing the Standard Model and Beyond [PDF]
, 2010 R. Tschirhart
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Elastic‐Wave Propagation in Chiral Metamaterials: A Couple‐Stress Theory Perspective
Advanced Engineering Materials, EarlyView.The intrinsic chirality of chiral metamaterials renders an effective medium based on the classical continuum theory ineffective for predicting their acoustic activity. This limitation is addressed in the present study by employing augmented asymptotic homogenization to derive a couple‐stress‐based effective medium, enabling accurate predictions in the ...
Shahin Eskandari +5 more
wiley +1 more source
Status of the ΛCDM theory: supporting evidence and anomalies. [PDF]
Philos Trans A Math Phys Eng SciPeebles PJE.
europepmc +1 more source
SEARCHING FOR NEW PHYSICS BEYOND THE STANDARD MODEL IN ELECTRIC DIPOLE MOMENT [PDF]
, 2012 Takeshi Fukuyama
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Advanced Engineering Materials, EarlyView.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
Equilibration of topological defects near the deconfined quantum multicritical point. [PDF]
Nat CommunShu YR, Jian SK, Sandvik AW, Yin S.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.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
Multiple testing for signal-agnostic searches for new physics with machine learning. [PDF]
Eur Phys J C Part FieldsGrosso G, Letizia M.
europepmc +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 +4 more
wiley +1 more source