Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Dual Neural Network Framework with SPICE Integration for Fast and Accurate Transistor Modeling
Neural network (NN)‐based compact transistor models are often deployed and evaluated standalone due to the lack of compatibility with existing simulation program with integrated circuit emphasis (SPICE) software. Herein, the proposed dual‐NN framework with the best trade‐off between high speed and high accuracy is integrated into commercial SPICE ...
Rodion Novkin, Hussam Amrouch
wiley +1 more source
Harnessing Baseline Radiomic Features in Early-Stage NSCLC: What Role in Clinical Outcome Modeling for SBRT Candidates? [PDF]
Volpe S+16 more
europepmc +1 more source
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad+3 more
wiley +1 more source
Conducting pairwise and network meta-analyses in updated and living systematic reviews: a scoping review protocol. [PDF]
Konstantinidis M+8 more
europepmc +1 more source
Design, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulator
A soft robotic diaphragm‐assist device using fabric‐based pneumatic actuators with a 2‐step control system to optimize synchronization and support is introduced. This system can detect the initiation of breathing to trigger assistance and regulate pressures to provide the correct level of inhalation augmentation. Validation and testing are completed on
Diego Quevedo‐Moreno+5 more
wiley +1 more source
A Hyperstable Aqueous Zinc-Ion Battery Based on Mo<sub>1.74</sub>CT<sub>z</sub> MXene. [PDF]
Chen N+5 more
europepmc +1 more source
A Periodic Error Correction Method for Terahertz Coded‐Aperture Imaging
A physics‐constrained unsupervised learning framework with periodic error correction is proposed for terahertz coded‐aperture imaging. The method improves reconstruction robustness against noise and model mismatch, while reducing reliance on large‐scale labeled data.
Hongxu Wu+8 more
wiley +1 more source
Oceanic uptake of CO<sub>2</sub> enhanced by mesoscale eddies. [PDF]
Li X+6 more
europepmc +1 more source
Comprehensive Serum Glycopeptide Spectra Analysis Combined with Machine Learning for Early Detection of Lung Cancer: A Case-Control Study. [PDF]
Yamazaki K+6 more
europepmc +1 more source