Results 151 to 160 of about 47,854 (245)

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
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, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Biodegradable and Bioinspired UV Light Recognition via Sustainable Synaptic Transistors for Artificial Intelligence Vision Systems

Advanced Intelligent Systems, EarlyView.
We report a biodegradable electrolyte‐gated synaptic phototransistor that combines low‐power UV sensing with memory functionality, offering a sustainable platform for AI vision systems and health‐monitoring technologies. Presented here is a biodegradable, bioinspired synaptic phototransistor (SPT) based on an electrolyte‐gated field‐effect transistor ...
Theodoros Serghiou, Rogério Morais, Douglas Henrique Vieira, Neri Alves, Roghaieh Parvizi, Jeff Kettle   +5 more
wiley   +1 more source

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

Advanced Intelligent Systems, EarlyView.
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav, Milad Masrouri, Zhao Qin   +2 more
wiley   +1 more source

Noninvasive Glucose Detection with Biodegradable Electrodes from Rice Starch Functionalized with a Carbon Quantum Dot/Nickel Oxide Nanocomposite

Analysis &Sensing, EarlyView.
The graphical abstract shows an eco‐friendly approach to fabricating a biodegradable electrochemical sensor. Carbon quantum dot/nickel oxide (CQD/NiO) nanocomposites are synthesized using Aloe arborescens leaf extract, which served as a natural reducing and stabilizing agent.
Nokwanda Ngema, Ryal Atson, Orlette Mkhari, Mahabubur Rahman Chowdhury   +3 more
wiley   +1 more source

Mechanistic Insights Into Photocatalytic Materials for Toxic Pollutants: Environmental Remediation of Personal Care Products

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Photocatalytic materials have emerged as promising solutions for environmental applications due to their ability to degrade organic pollutants under sunlight or artificial light. In this review, recent progress on the photocatalytic materials used for the degradation of pharmaceutical personal care products (PPCPs) in environmental ...
Urvashi Sen, Gunjan Chauhan, Surbhi Soni, Monika Vats, Anand Kumar, Indra Bahadur   +5 more
wiley   +1 more source

Technobiological Pathways for High‐CO₂ Capture Using Micro‐/Macroalgae: Genetic Engineering, Process Automation, and Value‐Added Bioproducts

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Greenhouse gas (GHG) emissions have emerged as one of the most critical drivers of climate change; this is primarily due to high concentrations and long atmospheric life of carbon dioxide (CO2). For a significant amount of time, various biological processes such as microalgal cultivation, cyanobacterial systems, photosynthetic microorganisms ...
Sadhana Semwal, Harish Chandra Joshi
wiley   +1 more source

Sustainable Graphene Oxide–Intercalated Bentonite Composite for the Effective Removal of Imidacloprid From Water: Adsorption Performance, Isotherm, and Kinetics

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Water is a fundamental necessity for our existence, but its rapid contamination is causing devastating effects on the environment and health of living species worldwide. Adsorptive removal of pollutants is one of the popular water treatment techniques because of its simplicity, affordability, and the broad range of available adsorbents.
Priyanka Negi, Brij Bhushan, Arunima Nayak, Pallavi Singh   +3 more
wiley   +1 more source