Results 121 to 130 of about 102,701 (252)

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach

Macromolecular Rapid Communications, EarlyView.
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel   +4 more
wiley   +1 more source

Recent Advances in the Laser‐Based Fabrication and Applications of High‐Entropy Alloy Nanoparticles

MetalMat, EarlyView.
This review presents recent advances in the laser‐based fabrication of high‐entropy alloy nanoparticles, focusing on scalable, environmentally friendly, and compositionally tunable synthesis methods. It highlights the critical influence of laser parameters on nanoparticle size, phase, and morphology, enabling tailored properties for applications in ...
Bibek Kumar Singh, Rajesh Rawat, Archana Tiwari, Venugopal Rao Soma, Ajay Tripathi   +4 more
wiley   +1 more source

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery

Materials Genome Engineering Advances, EarlyView.
ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Yumei Zhou, Dezhen Xue   +7 more
wiley   +1 more source

Application of Machine Learning in Heat Treatment Process Design of Carburized Steel

Materials Genome Engineering Advances, EarlyView.
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang, Yihao Zheng, Chunyang Luo, Xuefei Wang, Chi Zhang, Zhaodong Wang   +5 more
wiley   +1 more source

Machine Learning Design of Tungsten Alloys With Strength–Ductility Synergy

Materials Genome Engineering Advances, EarlyView.
This study integrates machine learning with solid solution softening knowledge to design multielement tungsten alloys with strength‐ductility synergy. ML models identify promising compositions within W‐ Ta ‐ Re system that exhibit pronounced chemical short‐range order, resulting in exceptional mechanical performance. Experimental validation through the
Juan Ding, Jiayi Liu, Jiatao Zhou, Baishan Chen, Yunzhu Ma, Wensheng Liu, Yufeng Huang, Chaoping Liang   +7 more
wiley   +1 more source

Steatotic liver disease in chronic hepatitis C related hepatocellular carcinoma: Inflictor or bystander?: Correspondence to editorial on “Dynamic change of metabolic dysfunction-associated steatotic liver disease in chronic hepatitis C patients after viral eradication: A nationwide registry study in Taiwan” [PDF]

Clinical and Molecular Hepatology
Chung-Feng Huang, Ming-Lun Yeh, Chia-Yen Dai, Jee-Fu Huang, Wan-Long Chuang, Ming-Lung Yu   +5 more
doaj   +1 more source

The Expanding Role of Companion Diagnostics in Infectious Diseases: Lessons From Abacavir and Human Immunodeficiency Virus Care

iLABMED, EarlyView.
Yi‐Wei Tang, Eric von Hofe
wiley   +1 more source

Data‐Driven Design of Co‐Continuous Morphology in PS/PMMA Two‐Phase Polymer Blends: A Theoretical, Experimental, and Machine Learning Approach

Polymer Engineering &Science, EarlyView.
This study uses an integrated methodology for polymer blend design and development. It uses theoretical and experimental techniques to evaluate phase inversion and employs a novel computational tool to determine the highest co‐continuity degree using machine learning.
Juan Felipe Castro‐Landinez, Tasmai Paul, Rodrigo Q. Albuquerque, Holger Schmalz, Andreas Greiner, Holger Ruckdäschel   +5 more
wiley   +1 more source

Optimization of Flexural Strength of PLA Flexural Test Specimens Produced by FDM Using Taguchi L27 Orthogonal Array and Hybrid Regression Model

Journal of Polymer Science, EarlyView.
This study investigates the impact of FDM process parameters on the flexural strength of PLA components using a Taguchi L27 orthogonal array. Analysis reveals wall thickness and layer height as the primary determinants of mechanical performance. A highly accurate regression model is developed, providing a robust predictive framework to optimize 3D ...
Mehmet Şah Gültekin, Cüneyt Özdemir
wiley   +1 more source

From wild to tamed: Reimagining novel crops through omics and local plant diversity

PLANTS, PEOPLE, PLANET, EarlyView.
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá, Pablo D. Cárdenas   +1 more
wiley   +1 more source