A condition monitoring dataset based on electrical signals for a squirrel cage induction generator. [PDF]
Tominaga RN +8 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
A novel wide input range transformerless PV microinverter with natural power decoupling. [PDF]
Elbaksawi O +3 more
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Multi-function multi-level grid tied inverter based on a new combined logic-analog controller with capacitors balancing ability. [PDF]
Nematzadeh Meinagh V +3 more
europepmc +1 more source
Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura +2 more
wiley +1 more source
An Experimentally Benchmarked Optical Study on Absorption Enhancement in Nanostructured a-Si/PbS Quantum Dot Tandem Solar Cells. [PDF]
Jiang Q, Li Z.
europepmc +1 more source
Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan +4 more
wiley +1 more source
A novel high-gain isolated quasi Z-source DC-DC converter with self-balancing bipolar outputs. [PDF]
Heidarbozorg S, Radmanesh H.
europepmc +1 more source

