Results 311 to 320 of about 8,193,792 (388)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Nearl: extracting dynamic features from molecular dynamics trajectories for machine learning tasks. [PDF]
Zhang Y, Vitalis A.
europepmc +1 more source
Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
Molecular Dynamics Simulation of the Thermosensitive Gelation Mechanism of Phosphorylcholine Groups-Conjugated Methylcellulose Hydrogel. [PDF]
Mei H+8 more
europepmc +1 more source
The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram+2 more
wiley +1 more source
Understanding the Nanoindentation Edge Effect of Single-Crystal Silicon Using Molecular Dynamics Simulations. [PDF]
Long C+6 more
europepmc +1 more source
Periodic submicron features are fabricated on 304 stainless steel using single and double femtosecond laser pulses. By adjusting polarization, fluence, and inter‐pulse delay, 1D and 2D nanostructures are formed. Enhanced hydrophobicity and dense surface‐enhanced Raman spectroscopy hotspots enable analyte detection down to 10−10 M with good ...
Balaji Baskar+3 more
wiley +1 more source
mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data. [PDF]
Pérez-Hernández G, Hildebrand PW.
europepmc +1 more source
Patient‐specific brain phantoms can replace animal trials, aid presurgical training, and enable in silico disease research on cerebrospinal fluid and ventricles. This study presents a method to create ventricular brain phantoms from three‐dimensional magnetic resonance images brain scans, resulting in durable, tunable, reproducible models that mimic ...
Kajal Chandraprakash Jain+3 more
wiley +1 more source