Results 71 to 80 of about 113 (110)
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
A series of donor‐attached brominated chiral luminescent radicals (CzTTBrM, 2CzTTBrM, and 3CzTTBrM) was synthesized, showing red to near‐infrared (NIR) circularly polarized luminescence (CPL) with exceptionally high PLQY of up to 76% and markedly enhanced CPL brightness (BCPL). Doping into polystyrene microspheres further yields whispering gallery mode
Kazuhiro Nakamura +14 more
wiley +2 more sources
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
We disclose a novel boron macrocycle derived from the sustainable furan building block. The boraporphyrinoid exhibits a global antiaromatic ring current and dynamic conformational flexibility. Twofold reduction induces a switch to strong global aromaticity, accompanied by stiffening of the porphyrinoid backbone.
Lukas Swoboda +6 more
wiley +2 more sources
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
Glycine molecules induce a unique crystal packing into a supramolecular one‐dimensional columnar structure of octacyanidotungstates, which exhibits exceptionally strong antiferromagnetic superexchange interactions of J = −42.41(2) K between adjacent octacyanidotungstate units.
Tatsuya Konishi +8 more
wiley +2 more sources
Food inflation pass‐through from agricultural imports in a small open economy
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley +1 more source
Adenostemma lavenia, a traditionally used medicinal plant, has been employed to manage pain, inflammation, and circulatory issues. This study investigates the analgesic, anti‐inflammatory, and thrombolytic potentials of the acetone extract of A. lavenia leaves (AEAL) using in vivo, in vitro, and in silico methods.
Nusrat Jahan Moon +10 more
wiley +1 more source
Auditory Stimulation of Slow‐Wave Sleep Promotes Recovery after Brain Injury in an Animal Model
Objective Traumatic brain injury (TBI) significantly reduces the quality of life for millions of survivors worldwide, causing persistent brain tissue damage and cognitive impairments, with no established therapeutic interventions currently available.
Carlos G. Moreira +9 more
wiley +1 more source
KAT7‐acetylated and cytoplasm‐translocated G‐protein GαS enhances IL‐6 effect and drives HCC progenitor cell progression. Abstract Background and Aims Hepatocarcinogenesis goes through HCC progenitor cells (HcPCs) to fully established HCC, and the mechanisms driving the development of HcPCs are still largely unknown.
Ye Zhou +15 more
wiley +1 more source

