Results 201 to 210 of about 272,614 (318)

Improved Operation of the Modified Non-Inverting Step-Down/Up (MNI-SDU) DC-DC Converter. [PDF]

Micromachines (Basel)
Villanueva-Loredo JA, Rosas-Caro JC, Martinez-Rodriguez PR, Rodriguez-Cortes CJ, Langarica-Cordoba D, Vazquez-Guzman G.   +5 more
europepmc   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

JUHCCR-v1: a database for hand-drawn electrical and electronics circuit component recognition. [PDF]

Sci Rep
Roy A, Pani S, Malakar S, Cuevas E, Pérez-Cisneros M, Sarkar R.   +5 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Dual band bandpass filters with full band reflectionless response and enhanced upper stopband suppression. [PDF]

Sci Rep
Wu G, Jin Y, Zhang W, Jiang R, Shi J.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

Advanced Intelligent Systems, EarlyView.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +3 more
wiley   +1 more source

Practical design of variable fractional-order capacitors with a single tuning feature using field effect transistors and variable capacitance diodes. [PDF]

Sci Rep
Sotner R, Black C, Jerabek J, Freeborn T, Colburn S, Svoboda M.   +5 more
europepmc   +1 more source

Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

Advanced Intelligent Systems, EarlyView.
Advancements in optical computing could revolutionize next‐generation wireless communication. The review highlights the role of photonic integrated circuits in implementing neural network operations and discusses their benefits, such as high computational density.
Xiaoxiong Song, Ziling Fu, Jiajia Wang, Dapeng Wang, Nan Li, Zhenping Hu, Xingyuan Xu   +6 more
wiley   +1 more source

Implementation of an SS-Compensated LC-Thermistor Topology for Passive Wireless Temperature Sensing. [PDF]

Sensors (Basel)
Sis SA, Dikerler Kozar Y.
europepmc   +1 more source