Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- QuTechNL582 papers
- Leiden UniversityNL317 papers
- Centre National de la Recherche ScientifiqueFR202 papers
- Eindhoven University of TechnologyNL196 papers
- ETH ZurichCH152 papers
- Netherlands Organisation for Applied Scientific ResearchNL125 papers
- University of AmsterdamNL122 papers
- University of CopenhagenDK115 papers
- Space Research Organisation NetherlandsNL113 papers
- Tohoku UniversityJP103 papers
- Joint Institute for VLBI ERICNL88 papers
- Harvard UniversityUS86 papers
202 papers · 1 filter
Real-space overlap is not enough: ambiguity in nanobeam iterative ptychography
Stephanie M. Ribet, Mohsen Danaie, Willem P. M. de Kleijne +5
High-resolution iterative ptychography typically relies on a well-aligned, high-convergence-angle electron probe. Here we explore whether it can instead be performed at small conve…
Benchmarking Chemically Scalable Machine-Learning Interatomic Potentials for Large-Scale Simulations of Multicomponent Alloys
Fei Shuang, Penghua Ying, Kai Liu +5
Machine learning interatomic potentials (MLIPs) with broad chemical flexibility are essential for atomistic simulations of compositionally complex alloys, but their deployment in l…
A Geometric Pathway for Tuning Ferroelectric Properties via Polar State Reconfiguration
Hao-Cheng Thong, Bo Wu, Fan Hu +7
We report the discovery of a geometric pathway for tuning ferroelectric properties through thermally driven reconfiguration between coexisting polar states in Li-substituted NaNbO3…
Interplay of energy and charge transfer in WSe2/CrSBr heterostructures
José Roberto de Toledo, Caique Serati de Brito, Barbara L. T. Rosa +12
Van der Waals heterostructures (vdWHs) composed of transition-metal dichalcogenides (TMDs) and layered magnetic semiconductors offer great opportunities to manipulate exciton and v…
Hydrogen-based direct reduction of multicomponent oxides: Insights from powder and pre-sintered precursors toward sustainable alloy design
Shiv Shankar, Barak Ratzker, Yan Ma +1
The co-reduction of metal oxide mixtures using hydrogen as a reductant in conjunction with compaction and sintering of the evolving metallic blends offers a promising alternative t…
PdNeuRAM: forming-free, multi-bit Pd/HfO2 ReRAM for energy-efficient neuromorphic computing
Erbing Hua, Theofilos Spyrou, Majid Ahmadi +11
Memristor technology shows great promise for energy-efficient computing, yet it grapples with challenges like resistance drift and inherent variability. For filamentary Resistive R…
Defect analysis of the - to -GaO phase transition
Umutcan Bektas, Maciej O. Liedke, Huan Liu +7
In this study, we investigate the ion-irradiation-induced phase transition in gallium oxide (Ga2O3) from the to the phase, the role of defects during the transformation, an…
Toward Sustainable Polymer Design: A Molecular Dynamics-Informed Machine Learning Approach for Vitrimers
Yiwen Zheng, Agni K. Biswal, Yaqi Guo +5
Vitrimer is an emerging class of sustainable polymers with self-healing capabilities enabled by dynamic covalent adaptive networks. However, their limited molecular diversity const…
Amorphous to Crystalline Transformation: How Cluster Aggregation Drives the Multistep Nucleation of ZIF-8
Sambhu Radhakrishnan, Flip de Jong, Estelle Becquevort +11
Nucleation, the pivotal first step of crystallization, governs essential characteristics of crystallization products, including size distribution, morphology, and polymorphism. Whi…
Learning the Electrostatic Response of the Electron Density through a Symmetry-Adapted Vector Field Model
Mariana Rossi, Kevin Rossi, Alan M. Lewis +2
A current challenge in atomistic machine learning is that of efficiently predicting the response of the electron density under electric fields. We address this challenge with symme…
Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys
Fei Shuang, Zixiong Wei, Kai Liu +2
Recent advances in machine learning, combined with the generation of extensive density functional theory (DFT) datasets, have enabled the development of universal machine learning…
Roadmap on Quantum Magnetic Materials
Antonija Grubišić-Čabo, Marcos H. D. Guimarães, Dmytro Afanasiev +36
Fundamental research on two-dimensional (2D) magnetic systems based on van der Waals materials has been gaining traction rapidly since their recent discovery. With the increase of…
Modeling Extensive Defects in Metals through Classical Potential-Guided Sampling and Automated Configuration Reconstruction
Fei Shuang, Kai Liu, Yucheng Ji +3
Extended defects such as dislocation networks and general grain boundaries are ubiquitous in metals, and accurately modeling these extensive defects is crucial for understanding th…
Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling
Marc Botifoll, Ivan Pinto-Huguet, Enzo Rotunno +17
(Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the…
Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning
Fei Shuang, Yucheng Ji, Zixiong Wei +4
Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear…
Consistent machine learning for topology optimization with microstructure-dependent neural network material models
Harikrishnan Vijayakumaran, Jonathan B. Russ, Glaucio H. Paulino +1
Additive manufacturing methods together with topology optimization have enabled the creation of multiscale structures with controlled spatially-varying material microstructure. How…
Formation mechanisms of single-crystalline InN quantum dots fabricated via droplet epitaxy
P. Aseev, Ž. Gačević, J. M. Mánuel +4
This work presents an experimental and theoretical insight into formation mechanisms of single crystalline wurtzite InN quantum dots (QDs) fabricated via metal droplet epitaxy (DE)…
Diversity of Ultrafast Spin Dynamics Near the Tricritical Point in a Ferrimagnetic Gd/FeCo Multilayer
T. G. H. Blank, B. D. Muis, T. Lichtenberg +2
It is found that subtle changes in the external magnetic field and temperature result in dramatic changes in the ultrafast response of spins to a femtosecond laser excitation in a…
Effects of Grain Boundaries and Surfaces on Electronic and Mechanical Properties of Solid Electrolytes
Weihang Xie, Zeyu Deng, Zhengyu Liu +3
Extended defects, including exposed surfaces and grain boundaries, are critical to the properties of polycrystalline solid electrolytes in all-solid-state batteries (ASSBs). These…
AI-guided inverse design and discovery of recyclable vitrimeric polymers
Yiwen Zheng, Prakash Thakolkaran, Agni K. Biswal +6
Vitrimer is a new, exciting class of sustainable polymers with the ability to heal due to their dynamic covalent adaptive network that can go through associative rearrangement reac…
Revealing the effects of laser beam shaping on melt pool behaviour in conduction-mode laser melting
Amin Ebrahimi, Mohammad Sattari, Aravind Babu +3
Laser beam shaping offers remarkable possibilities to control and optimise process stability and tailor material properties and structure in laser-based welding and additive manufa…
Microstructure evolution and mechanical behavior of Fe-Mn-Al-C low-density steel upon aging
Alexandros Banis, Andrea Gomez, Vitaliy Bliznuk +3
This study focuses on the microstructure's evolution upon different aging conditions of a high-strength low-density steel with a composition of Fe-28Mn-9Al-1C. The steel is hot-rol…
Magnetic order in 2D antiferromagnets revealed by spontaneous anisotropic magnetostriction
Maurits J. A. Houmes, Gabriele Baglioni, Makars Šiškins +10
The temperature dependent order parameter provides important information on the nature of magnetism. Using traditional methods to study this parameter in two-dimensional (2D) magne…
Single-test evaluation of directional elastic properties of anisotropic structured materials
Jagannadh Boddapati, Moritz Flaschel, Siddhant Kumar +2
When the elastic properties of structured materials become direction-dependent, the number of their descriptors increases. For example, in two-dimensions, the anisotropic behavior…