Results 151 to 160 of about 309,932 (262)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Bridging experiments and defects' mechanics: a data-driven toolbox for configurational force analysis. [PDF]
Koko A +3 more
europepmc +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Magnetoelectric PVDF-Cobalt Ferrite Films: Magnetostrictive and Magnetorotational Effects, Synergy, and Counteraction. [PDF]
Stolbov OV, Raikher YL.
europepmc +1 more source
Nanomaterial‐Mediated Near‐Infrared Photothermal Neuromodulation for Neurologic Disorders
This review summarizes how near‐infrared light activates photothermal nanomaterials to enable noninvasive neuromodulation with high spatiotemporal precision. It elucidates the underlying mechanisms, explores targeted therapeutic applications for neurological disorders, discusses integration with optogenetics and biosensors, and addresses future ...
Ting‐Ting Zeng +9 more
wiley +1 more source
Strain Tuning of Weyl Nodes in SrRuO<sub>3</sub> Membranes. [PDF]
Blah P +11 more
europepmc +1 more source
In this paper, we study the global dynamics for a class of continuous piecewise Z2-equivariant cubic Hamiltonian vector fields with nilpotent bicenters at (±1, 0). We consider these polynomial vector fields with a challenging case where the bicenters (±1, 0) come from the combination of two nilpotent cusps separated by y = 0.
Chen, Ting||, Llibre, Jaume||
openaire +1 more source
KSRV: a Kernel PCA-Based framework for inferring spatial RNA velocity at single-cell resolution. [PDF]
He Y, Jiang J, Qiu H, Shi YZ, Zhang BG.
europepmc +1 more source
Emergent topological polarization textures in relaxor ferroelectrics. [PDF]
Eremenko M +13 more
europepmc +1 more source

