Results 81 to 90 of about 2,070 (169)

Analysis of Bis(trifluoromethylsulfonyl)imide Interactions with Metal Cations Through a Chemical Informatics Approach. [PDF]

Molecules
Gumaste T, Cooper FL, Blakemore JD.
europepmc   +1 more source

Unravelling the Spatiotemporal Exciton Dynamics in Electrically Pumped Organic Laser Diodes

Laser &Photonics Reviews, EarlyView.
High‐speed OLED measurements combined with advanced simulations reveal how singlet, triplet, and polaron dynamics drive key loss channels that hinder organic semiconductor lasing, while presenting strategies to overcome them. Abstract Organic materials offer wide‐band emission covering regions of the spectrum unachievable by conventional semiconductors.
Adam Bickerdike, Roderick C. I. Mackenzie, Mujeeb U. Chaudhry   +2 more
wiley   +1 more source

An approach for unsupervised interaction clustering in human-robot co-work using spatiotemporal graph convolutional networks. [PDF]

Front Robot AI
Heuermann A, Ghrairi Z, Zitnikov A, Al Noman A, Thoben KD.   +4 more
europepmc   +1 more source

A Perspective of Multi‐Reflecting TOF MS

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov, V. V. Makarov, A. V. Vorobyev, S. N. Kirillov   +3 more
wiley   +1 more source

Optimization of deficit irrigation system for drip-irrigated corn in northern Xinjiang using dynamic reconstruction and dual physics-informed neural networks to drive AquaCrop. [PDF]

Front Plant Sci
Zhang H, Zhao J, Hong M, Ma L.
europepmc   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Knowledge-Graph-Driven Fault Diagnosis Methods for Intelligent Production Lines. [PDF]

Sensors (Basel)
Chen Y, Zhou M, Zhang M, Zha M.
europepmc   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

ChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang, Yuncheng Yu, Jyh‐Charn Liu   +2 more
wiley   +1 more source

Cotton pest and disease diagnosis via YOLOv11-based deep learning and knowledge graphs: a real-time voice-enabled edge solution. [PDF]

Front Plant Sci
Zhong M, Wei L, Mo H.
europepmc   +1 more source

Recent advances in Joule‐heating synthesis of functional nanomaterials for photo and electrocatalysis

PhotoMat, EarlyView.
This paper presents a comprehensive overview of recent advancements in Joule‐heating synthesis of photo and electrocatalysts, emphasizing its benefits and applications. The objective is to offer an effective strategy for enhancing the diversity and performance of catalytic materials.
Jiaqi Li, Laiyu Luo, Siyu Wang, Haojie Song, Baojiang Jiang   +4 more
wiley   +1 more source