Results 111 to 120 of about 210,628 (307)

Robocasting of a Water‐Based Biopolymer/WO3 Nanopowder Paste as a Precursor to Tungsten Carbide Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis   +3 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
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

X‐Ray Computed Tomography Quantifies Primary Phases and Reveals Crack Morphology in High‐Cycle Fatigue of Aluminum Alloy EN AW‐2618A

open access: yesAdvanced Engineering Materials, EarlyView.
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder   +6 more
wiley   +1 more source

Reweighting simulated events using machine-learning techniques in the CMS experiment

open access: yesEuropean Physical Journal C: Particles and Fields
Data analyses in particle physics rely on an accurate simulation of particle collisions and a detailed simulation of detector effects to extract physics knowledge from the recorded data.
A. Hayrapetyan   +2398 more
doaj   +1 more source

Optimizing integrated luminosity of future hadron colliders

open access: yesPhysical Review Special Topics. Accelerators and Beams, 2015
The integrated luminosity, a key figure of merit for any particle-physics collider, is closely linked to the peak luminosity and to the beam lifetime. The instantaneous peak luminosity of a collider is constrained by a number of boundary conditions, such
Michael Benedikt   +2 more
doaj   +1 more source

Tribology of ZrC Coatings and Spherical Tips Acquired with Extraordinarily Stiff, Metal Atomic Force Microscopy Probes

open access: yesAdvanced Engineering Materials, EarlyView.
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk   +4 more
wiley   +1 more source

Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments

open access: green, 2022
Luc Builtjes   +6 more
openalex   +2 more sources

Graphene–Catechol Dental Sealant: Antibacterial and Mechanical Evaluation

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents dental sealants made with graphene and L‐DOPA‐modified graphene. L‐DOPA enhances graphene dispersion, improving sealant properties. The material shows antibacterial activity against S. mutans and L. casei, along with high strength and elasticity.
Renata Pereira   +6 more
wiley   +1 more source

PODIO: An Event-Data-Model Toolkit for High Energy Physics Experiments

open access: yes, 2017
PODIO is a C++ library that supports the automatic creation of event data models (EDMs) and efficient I/O code for HEP experiments. It is developed as a new EDM Toolkit for future particle physics experiments in the context of the AIDA2020 EU programme ...
F. Gaede, B. Hegner, P. Mato
semanticscholar   +1 more source

Quality Enhancement of Laser Powder‐Bed Fusion Parts by Acoustically Assisted Additive Manufacturing by Laser Powder‐Bed Fusion and its Application to Lattice Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing technologies like laser powder‐bed fusion offer great design freedom and individualization of products down to a batch size of one. However, parts fabricated with this technology suffer from poor quality. Acoustic assistance during the build process can minimize these drawbacks.
Oliver Maurer, Dirk Bähre
wiley   +1 more source

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