activity
20112025
most citedA mechanically strong and ductile soft magnet with extremely low coercivity

383 citations · 4.8k across the 101 of their papers we have counts for

collaborators

106 papers

cond-mat.mtrl-sci2025

High-strength and ductile lightweight cast aluminium alloys with superlattice nano-layered fibres (SNL) and core-shell nano-particles

Hemant Kumar, Praveen Kumar, Dierk Raabe +2

Lightweight, high-strength structural materials are component enablers in transportation and aerospace, reducing carbon footprints and enhancing fuel efficiency. Cast aluminium all…

cond-mat.mtrl-sci2023★ 13 cited

Optimizing site-specific specimen preparation for Atom Probe Tomography by using hydrogen for visualizing radiation-induced damage

Aparna Saksena, Binhan Sun, Xizhen Dong +3

Atom probe tomography (APT) is extensively used to measure the local chemistry of materials. Site-specific preparation via a focused ion beam (FIB) is routinely implemented to fabr…

physics.app-ph2023

Scalable Substrate Development for Aqueous Biological Samples for Atom Probe Tomography

Eric V. Woods, Se-Ho Kim, Ayman A. El-Zoka +2

Reliable and consistent preparation of atom probe tomography (APT) specimens from aqueous and hydrated biological specimens remains a significant challenge. One particularly diffic…

cond-mat.mtrl-sci2023★ 239 cited

Chemical heterogeneity enhances hydrogen resistance in high-strength steels

Binhan Sun, Wenjun Lu, Ran Ding +7

When H, the lightest, smallest and most abundant atom in the universe, makes its way into a high-strength alloy (>650 MPa), the material's load-bearing capacity is abruptly lost. T…

cond-mat.mtrl-sci2023★ 29 cited

Near-Atomic Scale Perspective on the Oxidation of TiCT MXenes: Insights from Atom Probe Tomography

Mathias Krämer, Bar Favelukis, Ayman A. El-Zoka +5

MXenes are a family of 2D transition metal carbides and nitrides with remarkable properties and great potential for energy storage and catalysis applications. However, their oxidat…

physics.chem-ph2023★ 20 cited

A machine learning framework for quantifying chemical segregation and microstructural features in atom probe tomography data

Alaukik Saxena, Nikita Polin, Navyanth Kusampudi +7

Atom probe tomography (APT) is ideally suited to characterize and understand the interplay of chemical segregation and microstructure in modern multicomponent materials. Yet, the q…