Results 121 to 130 of about 1,022 (229)
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
Electrochemical Dye Switching Assisted Spectral Demixing and 3D STORM Imaging
ABSTRACT Super‐resolution microscopy has advanced cellular imaging by enabling nanoscale resolution, while reliable multicolor strategies remain crucial for resolving multiple targets in complex cellular samples. Here, we demonstrate a two‐color imaging strategy using electrochemically controlled stochastic optical reconstruction microscopy (EC‐STORM),
Ying Yang, Yuanqing Ma, Justin Gooding
wiley +2 more sources
Resolving sequential electron-proton transfer kinetics for electrochemical CO<sub>2</sub> reduction at the Cu(100)/H<sub>2</sub>O interface <i>via</i> a quantum-classical framework. [PDF]
Yang Y, Fu G.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
A Multiple-Well Framework for Human Perceptual Decision-Making. [PDF]
Fluegemann J +4 more
europepmc +1 more source
A Stochastic Representation of the Feynman Path Integral in Quantum Field Theory
Xiao Lin, J Glimm
openalex +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
From Microscale to Nanoscale Shadow Electrochemiluminescence Microscopy
In this research we report on the label‐free shadow electrochemiluminescence (shadow ECL) microscopy of microscale and nanoscale objects. By systematically investigating various influencing factors—including optical configuration, electrode activity, frame averaging, exposure time, and particle arrangement—we further confirm the nano‐imaging potential ...
Xiaodan Gou +5 more
wiley +2 more sources
Intrinsic and Measured Information in Separable Quantum Processes. [PDF]
Gier D, Crutchfield JP.
europepmc +1 more source
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source

