Results 231 to 240 of about 1,236,598 (336)

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Effects of Intake Humidification Strategies on NO <i>_X</i> /CO/CO₂/Soot Emissions of A Low-Speed Diesel Engine. [PDF]

ACS Omega
Liu Y, Li Q, Duan S, Jiang H, Duan K, Ji C.   +5 more
europepmc   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Particle Number Emissions From Compression Ignition Engines: A Critical Review of Current Understandings. [PDF]

ACS Omega
Fu Z, Fan C, Guan Z, Shang W, Tong Y, Xu B.   +5 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Metal‐Mediated Nitrogen Doping of Carbon Supports Boosts Hydrogen Production from Ammonia

Angewandte Chemie, EarlyView.
A virtuous catalytic cycle is established as the carbon support simultaneously tunes electron density and stores atomic nitrogen formed via Ru–N species during ammonia decomposition, resulting in self‐enhancing catalysis. Abstract Ammonia is an attractive hydrogen carrier, yet its practical use is limited by the need for efficient catalytic ...
Thomas J. Liddy, Benjamin J. Young, Emerson C. Kohlrausch, Andreas Weilhard, Gazi N. Aliev, Yifan Chen, Manfred E. Schuster, Mohsen Danaie, Luke L. Keenan, Donato Decarolis, Diego Gianolio, Siqi Wang, Mingming Zhu, Graham J. Hutchings, David M. Grant, Wolfgang Theis, Tien‐Lin Lee, David A. Duncan, Alberto Roldan, Andrei N. Khlobystov, Jesum Alves Fernandes   +20 more
wiley   +2 more sources

Effect of EGR coupled fuel injection parameters on combustion and emissions. [PDF]

Sci Rep
Shao K, Wu H.
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

ANN-Based Modeling of Engine Performance from Dynamometer Sensor Data. [PDF]

Sensors (Basel)
Aldea CL, Bocu R, Chiriac RL.
europepmc   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source