25 papers · ranked by Valyu relevance
Martina Vittorietti, Javier Hidalgo, Jesús Galán López, Jilt Sietsma + 3 more
'Geurt Jongbloed' 'Jan Džugan' 'Andrea Di Schino'] This study proposes a new approach to determine phenomenological or physical relations between microstructure features and the mechanical behavior of metals bridging advanced statistics and materials science in a study of the effect of hard precipitates on the…
Nirmal Baishnab, Ethan Herron, Aditya Balu, Soumik Sarkar + 2 more
'Adarsh Krishnamurthy' 'Baskar Ganapathysubramanian'] The ability to generate 3D multiphase microstructures on-demand with targeted attributes can greatly accelerate the design of advanced materials. Here, we present a conditional latent diffusion model (LDM) framework that rapidly synthesizes high-fidelity 3D…
Tarakram Ramgopal, Gowtham Nimmal Haribabu, Hussein Farahani, Cornelis Bos + 1 more
Traditional computational models, such as cellular automata and phase-field methods, are effective for simulating microstructural evolution but often face computational bottlenecks, limiting their application in high-throughput and on-demand process optimization. Generative machine learning approaches, such as…
Victor Grand, Baptiste Flipon, Alexis Gaillac, Marc Bernacki + 1 more
'Gregory N. Haidemenopoulos'] Dynamic recrystallization is one of the main phenomena responsible for microstructure evolution during hot forming. Consequently, obtaining a better understanding of dynamic recrystallization mechanisms and being able to predict them is crucial. This paper proposes a full-field numerical…
Manuel Henrich, Niklas Fehlemann, Felix Bexter, Maximilian Neite + 5 more
'Linghao Kong' 'Fuhui Shen' 'Markus Könemann' 'Michael Dölz' 'Sebastian Münstermann'] In this study an improved version of the Discrete RVE Automation and Generation Framework, also called DRAGen, is presented. The Framework incorporates a generator for Representative Volume Elements (RVEs). Several complex…
Yixuan Zhang, Teng Long, Hongbin Zhang
In materials science, microstructures and their associated extrinsic properties are critical for engineering advanced structural and functional materials, yet their robust reconstruction and generation remain significant challenges. In this work, we developed a microstructure generation model based on the Stable…
N.P. Kartashov, Nikolaos N. Vlassis
Design of Microstructures with Commands in Natural Language Authors: ['N.P. Kartashov' 'Nikolaos N. Vlassis'] Microstructure plays a critical role in determining the macroscopic properties of materials, with applications spanning alloy design, MEMS devices, and tissue engineering, among many others. Computational…
Jinlong Fu, Wei Tan, Dunhui Xiao, Xiaoying Zhuang
Understanding microstructure-property relationships (MPRs) in random porous media is a fundamental challenge across numerous scientific and engineering disciplines. Image-based poro/micro-mechanical modeling offers a powerful noninvasive technique to investigate MPRs via numerical simulations. However, the stochastic…
Authors not listed
The Microporous Layer (MPL) plays a crucial role in Proton Exchange Membrane Fuel Cells (PEMFCs), as its microstructure significantly influences the overall transport properties within these devices. This study introduces a novel Machine Learning (ML) approach to optimize the MPL microstructure and properties.…
Jurij J. Sidor, Baitao Zhang
The microstructural features of polycrystals determine numerous properties, whereas the evolution of crystallographic texture is responsible for the anisotropy of particular properties. Therefore, it is of crucial importance to find proper quantitative indicators, which reflect the nature of microstructure and texture…
Xianrui Lyu, Xiaodan Ren
Microstructure reconstruction serves as a crucial foundation for establishing process-structure-property (PSP) relationship in material design. Confronting the limitations of variational autoencoder and generative adversarial network within generative models, this study adopted the denoising diffusion probabilistic…
Jingxuan Feng, Lili Wang, Xiaoya Zhai, Kai Chen + 3 more
Fast Multiscale Designs Authors: ['Jingxuan Feng' 'Lili Wang' 'Xiaoya Zhai' 'Kai Chen' 'Wenming Wu' 'Ligang Liu' 'Xiao‐Ming Fu'] Abstract We propose a novel method to construct largescale boundary-identical microstructure datasets with high attribute coverage for highly efficient multiscale design. Central to our…
Fabrício Frizera Borghi, Mohammed Bendimerad, Marie-Ly Chapon, Tatiana Petithory + 2 more
The democratization of fabrication equipment has spurred recent interest in maskless grayscale lithography for both 2D and 3D microfabrication. However, the design of suitable template images remains a challenge. This work presents a simplified method for encoding 3D objects into grayscale image files optimized for…
Authors not listed
Given the recent inclusion of sodium-ion batteries (SIBs) in the energy market, the optimization of their performance becomes a relevant research topic. At the electrode-level, the parameters selected during its manufacturing process influence its microstructure and, consequently, its electrochemical performance. Here…
Jiayu Deng, Weizhen Pan, Fahmida Alom, Hassan Tahir + 4 more
The human vasculature is a complex, multiscale system comprising hierarchical networks of macroscale to microscopic vessels. Existing in vitro fabrication techniques often fail to bridge these disparate scales, as high-resolution methods like multiphoton ablation are too slow for replicating larger vessels, while 3D…
Luis Saucedo-Mora, Ismael Ben-Yelun, Hugo García-Modet, Miguel Ángel Sanz-Gómez + 1 more
The design and manufacturing of high value industrial components is suffering a change of paradigm with 3D printing. In this change of paradigm, metamaterials have an important role because when a component is 3D-printed, it is performed from the micro level, where custom structures may be designed to endow the…
Authors not listed
Hyperstructures and their hierarchical extensions [1]—SuperHyperStructures—provide a versatile formalism for modeling multi-layered and complex phenomena [2, 3]. A MicroStructure is a measurable mapping that assigns to each material point a single local state, representing attributes such as phase, crystal orientation…
Mahsa Haghighattalab, Fatemeh Karimi, Nona Farbehi, Jelena Rnjak-Kovacina
Microgels, or micro-scale hydrogels, are versatile emerging biomaterials. They absorb large amounts of water and facilitate molecule transfer. Their tunable size and shape and the capacity to form 3D scaffolds with microscale porosity offer significant advantages over traditional bulk hydrogels. Various strategies…
Shin Wei Chong, Jameel Sardharwalla, Gweneth Sofia P. Masonsong, Joshua Cosgrove + 6 more
Engineered stiffness gradient hydrogels offer exciting opportunities to probe fundamental mechanobiological processes in vitro. However, the need to spatially manipulate the properties of soft hydrogels at the micron scale poses challenges in developing fabrication platforms that can reliably modulate the gradient gel…
Dennis Weitze, Franco Zanotto, Diana Zapata-Dominguez, Alejandro A. Franco
Prior to the development of a solid-state battery cell, researchers have limited knowledge about the microstructure of the electrodes and how they are affected by manufacturing. Therefore, numerical simulations can be considered as a powerful tool to link the fabrication process to the final microstructure of the…
Sayed Ali Ahmad Alem, Mohammad Hossein Sabzvand, Parnian Govahi, Pooria Poormehrabi + 5 more
'Pooria Poormehrabi' 'Mahdi Hasanzadeh Azar' 'Sara Salehi Siouki' 'Reza Rashidi' 'Shayan Angizi' 'Sara Bagherifard'] Metal matrix composites (MMCs) offer asignificant boost to achieve a wide range of advanced mechanical properties and improved performance for a variety of demanding applications. The addition of metal…
Matteo Calvarese, Petra Paiè, Alessia Candeo, Gianmaria Calisesi + 7 more
Structured Illumination Microscopy (SIM) is a key technology for high resolution and super-resolution imaging of biological cells and molecules. The spread of portable and easy-to-align SIM systems requires the development of novel methods to generate a light pattern and to shift it across the field of view of the…
Liana Chatterjee, Sulagna Chatterjee
Droplet-based microfluidics is the study of microfluidic device, where droplets are generated mainly using two methods i.e., active, and passive methods. The manipulation of these droplets in microfluidic channels is an immensely useful technology in various scientific fields such as biological, biomedical studies, and…
Authors not listed
Nanoparticles are involved in improving healthcare, energy, and the environment due to their unique physicochemical properties. The purpose of this review is to compare some of the most prevalent nanoparticle synthesis strategies—considering physical, chemical, green, and hybrid types of synthesis—and assess the…
Hassan Saad, Thierry Douillard, Annie Malchère, Philippe Steyer + 3 more
Nacre-like aluminas are bio-inspired, ceramic-based composites that display high toughness and strength. Their toughness arises from their brick-and-mortar microstructure. We must understand the role of several microstructural features over their mechanical properties. Techniques that allow microstructural imaging…