24 papers · ranked by Valyu relevance
Sehyun Chun, Sidhartha Roy, Yen Thi Nguyen, Joseph B. Choi + 2 more
'H. S. Udaykumar' 'Stephen S. Baek'] The sensitivity of heterogeneous energetic (HE) materials (propellants, explosives, and pyrotechnics) is critically dependent on their microstructure. Initiation of chemical reactions occurs at hot spots due to energy localization at sites of porosities and other defects. Emerging…
Sehyun Chun, Sidhartha Roy, Yen T. Nguyen, Joseph B. Choi + 2 more
'H. S. Udaykumar' 'Stephen S. Baek'] The sensitivity of heterogeneous energetic (HE) materials (propellants, explosives, and pyrotechnics) is critically dependent on their microstructure. Initiation of chemical reactions occurs at hot spots due to energy localization at sites of porosities and other defects. Emerging…
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…
Francisco-José Gallardo-Basile, Yannick Naunheim, Franz Roters, Martin Diehl + 1 more
'Martin Diehl' 'Frank Czerwinski'] Lath martensite is a complex hierarchical compound structure that forms during rapid cooling of carbon steels from the austenitic phase. At the smallest, i.e., ‘single crystal’ scale, individual, elongated domains, form the elemental microstructural building blocks: the name-giving…
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…
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…
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…
Chaoyue Liu, Oier Arcelus, Teo Lombardo, Hassan Oularbi + 1 more
Composite graphite/silicon (Si) electrodes with low Si weight percentages are considered as a promising anode for next generation Li-ion batteries. In this context, understanding the microstructural changes due to Si volume expansion and the complex electrochemical interplay between graphite and Si becomes crucial to…
Manuel Henrich, Felix Pütz, Sebastian Münstermann
In this study, a novel approach for generating Representative Volume Elements (RVEs) is introduced. In contrast to common generators, the new RVE generator is based on discrete methods to reconstruct synthetic microstructures, using simple methods and a modular structure. The plain and uncomplicated structure of the…
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…
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…
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…
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…
Nicholas Rosa, Christopher J. Watkins, Janet Newman
The use of imaging systems in protein crystallisation means that the experimental setups no longer require manual inspection to determine the outcome of the trials. However, it leads to the problem of how best to find images which contain useful information about the crystallisation experiments. The adoption of a…
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…