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Related papers: Additive Manufacturing Approaches for Hydroxyapati…

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This study aims at revealing the effect of composition on mechanical and antibacterial properties of hydroxyapatite/gray Titania coating for biomedical applications. HAp is a bioceramic material used as a plasma-sprayed coating to promote…

Medical Physics · Physics 2021-05-12 Mirazul Mahmud Abir

Light-based additive manufacturing holds great potential in the field of bioprinting due to its exceptional spatial resolution, enabling the reconstruction of intricate tissue structures. However, printing through biological tissues is…

Recent improvements in additive manufacturing and high-throughput material synthesis have enabled the discovery of novel metallic materials for extreme environments. However, high-fidelity testing of advanced mechanical properties such as…

Materials Science · Physics 2025-02-20 C. Bean , M. Calvat , Y. Nie , R. L Black , N. Velisavljevic , D. Anjaria , M. A. Charpagne , J. C. Stinville

Mineralization of bone and teeth involves interactions between biomolecules and hydroxyapatite. Associated complex interfaces and processes remain difficult to analyze at the 1 to 100 nm scale using current laboratory techniques, and prior…

Materials Science · Physics 2015-12-02 Tzu-Jen , Hendrik Heinz

This paper presents the first comprehensive literature review of deep learning (DL) applications in additive manufacturing (AM). It addresses the need for a thorough analysis in this rapidly growing yet scattered field, aiming to bring…

Machine Learning · Computer Science 2024-12-25 Amirul Islam Saimon , Emmanuel Yangue , Xiaowei Yue , Zhenyu James Kong , Chenang Liu

Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry, offering benefits like intricate design, minimal waste, rapid prototyping, material versatility, and customized solutions. However, its full industry adoption faces…

Machine Learning · Computer Science 2024-01-12 Ahmed Shoyeb Raihan , Hamed Khosravi , Tanveer Hossain Bhuiyan , Imtiaz Ahmed

Enhanced sampling algorithms have emerged as powerful methods to extend the utility of molecular dynamics simulations and allow the sampling of larger portions of the configuration space of complex systems in a given amount of simulation…

Statistical Mechanics · Physics 2022-12-19 Jérôme Hénin , Tony Lelièvre , Michael R. Shirts , Omar Valsson , Lucie Delemotte

In tissue engineering, we seek to address comprehensive tissue repair and regeneration needs. Aligned nanofibers have emerged as powerful and versatile tools, attributable to their structural and biochemical congruence with the natural…

Medical Physics · Physics 2024-08-16 Gayatri Patel , Louis-S. Bouchard

Atomic precision advanced manufacturing (APAM) dopes silicon with enough carriers to change its electronic structure and can be used to create novel devices by defining metallic regions whose boundaries have single-atom abruptness.…

A fundamental challenge in soft material design is the competition between rigidity and dynamicity, as stiffening mechanisms typically suppress energy dissipation. Here, we demonstrate that starch granules serve as instructive scaffolds…

Rhamnolipids are very promising sugar-based biosurfactants, generally produced by bacteria, with a wide range of properties that can be exploited at an industrial and technological level, e.g. in cosmetics, food science, or oil recovery, to…

Soft Condensed Matter · Physics 2025-03-05 Eduardo Guzman , Francisco Ortega , Ramon G. Rubio

One of the challenging issues in additive manufacturing (AM) oriented topology optimization is how to design structures that are self-supportive in a manufacture process without introducing additional supporting materials. In the present…

Applied Physics · Physics 2017-08-02 Xu Guo , Jianhua Zhou , Weisheng Zhang , Zongliang Du , Chang Liu , Ying Liu

The increased availability of computing time, in recent years, allows for systematic high-throughput studies of material classes with the purpose of both screening for materials with remarkable properties and understanding how structural…

Materials Science · Physics 2023-11-28 Robin Hilgers , Daniel Wortmann , Stefan Blügel

For their excellent stiffness-to-weight characteristics, triply periodic minimal surfaces (TPMS) are widely adopted in architected materials. However, their geometric regularity often leads to elastic anisotropy, limiting their…

Computational Physics · Physics 2025-05-21 Minwoo Park , Junheui Jo , Seunghwa Ryu

The demand for lightweight models in image classification tasks under resource-constrained environments necessitates a balance between computational efficiency and robust feature representation. Traditional attention mechanisms, despite…

Machine Learning · Computer Science 2025-04-21 Zhenkai Qin , Feng Zhu , Huan Zeng , Xunyi Nong

Additive manufacturing (AM) continues to transform modern manufacturing by enabling flexible, on-demand production of complex geometries across diverse industries. Fused filament fabrication (FFF) has extended AM to laboratories,…

Machine Learning · Computer Science 2026-05-06 Ahmadreza Eslaminia , Chuhan Cai , Cameron Smith , Ruo-Syuan Mei , Shichen Li , Rajiv Malhotra , Klara Nahrstedt , Chenhui Shao

This paper investigates in hatching process strategies for additive manufacturing using an electron beam by numerical simulations. The underlying physical model and the corresponding three dimensional thermal free surface lattice Boltzmann…

Computational Engineering, Finance, and Science · Computer Science 2015-03-31 Matthias Markl , Regina Ammer , Ulrich Rüde , Carolin Körner

High-entropy alloys and ceramics containing at least five principal elements have recently received high attention for various mechanical and functional applications. The application of severe plastic deformation (SPD), particularly the…

Materials Science · Physics 2023-09-19 Parisa Edalati , Masayoshi Fuji , Kaveh Edalati

Laser Powder Bed Fusion has become a widely adopted method for metal Additive Manufacturing (AM) due to its ability to mass produce complex parts with increased local control. However, AM produced parts can be subject to undesirable…

Machine Learning · Computer Science 2022-05-13 Francis Ogoke , Kyle Johnson , Michael Glinsky , Chris Laursen , Sharlotte Kramer , Amir Barati Farimani

Tomographic Volumetric Additive Manufacturing(TVAM) is a novel manufacturing method that allows for the fast creation of objects of complex geometry in layerless fashion. The process is based on the solidification of photopolymer that…

Computational Engineering, Finance, and Science · Computer Science 2026-02-13 Nicole Pellizzon , Richard Huber , Jon Spangenberg , Jakob Sauer Jørgensen