Results 91 to 100 of about 2,089 (183)

Complex Iridium Oxides Converge In Structure And Reactivity During Acidic Oxygen Evolution Electrocatalysis

Advanced Energy Materials, EarlyView.
Ir‐based double perovskites restructure during acidic oxygen evolution electrocatalysis through dissolution of non‐Ir cations and convergence toward IrOx active‐site motifs with similar structure and intrinsic activity across compositions. The identity of the dissolving cations controls dissolution and surface reconstruction kinetics, clarifying how ...
Harrison H. Lippie, Xun Zhan, Kevin C. Matthews, Arya M. Balasubramanian, Jamie H. Warner, Joaquin Resasco   +5 more
wiley   +1 more source

Polylactic Acid and Polybutylene Succinate Biopolymer Blends for Extrusion Processing: Dry Blending vs. Masterbatch Dilution. [PDF]

Polymers (Basel)
Azami M, Maurya AK, Nagarajan R, Ameli A.   +3 more
europepmc   +1 more source

Guidelines for Detecting the Foodborne Antibiotic‐Resistant Bacteria

AgriFood: Journal of Agricultural Products for Food, EarlyView.
ABSTRACT Foodborne antibiotic‐resistant bacteria threaten global public health and the economic. Standardized detection methods are crucial for effective prevention and control. Researchers encounter difficulties in choosing suitable techniques due to the variety of available approaches and the intricate nature of resistance mechanisms.
Yuanye Zeng, Fengxia Yang
wiley   +1 more source

Numerical Simulation to Study the Effect of Oxygenated Fuels on the Combustion and Emission Characteristics of Engines. [PDF]

ACS Omega
Shao K, Cao T, Wu H, Huang B.
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Machine learning-driven multi-objective optimization of straight-blade paddle mixers for efficient mixing in melt-cast explosives systems. [PDF]

Sci Rep
Li C, Wang J, Meng J, Luo Y.
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Linear Low-Density Polyethylene Enriched with Graphene: Effects on Its Rotational Molding and Properties. [PDF]

ACS Omega
Júnior FPA, Garcia EE, Valencia Albitres GA, Mendes LC, Martin P, McCourt M, Millar B, Douglas P.   +7 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Bio-Based Fluorescent Epoxies: Emission Control through Molecular Packing and Phase Separation. [PDF]

ChemSusChem
Bhardwaj S, Becker A, Dileep D, Finley D, Kaczor J, Chambers S, Pullela G, Krider V, Forrester M, Kraus G, Cochran EW.   +10 more
europepmc   +1 more source