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19942026
most citedNew Tolerance Factor to Predict the Stability of Perovskite Oxides and Halides

1.8k citations

Showing 2025 · cond-mat.mtrl-sciShow all

11 papers · 2 filters

cond-mat.mtrl-sci2025★ 1 cited

Revealing the Hidden Third Dimension of Point Defects in Two-Dimensional MXenes

Grace Guinan, Michelle A. Smeaton, Brian C. Wyatt +6

Point defects govern many important functional properties of two-dimensional (2D) materials. However, resolving the three-dimensional (3D) arrangement of these defects in multi-lay…

cond-mat.mtrl-sci2025★ 5 cited

Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction

Yuxing Fei, Matthew J. McDermott, Christopher L. Rom +2

Powder X-ray diffraction (XRD) is a foundational technique for characterizing crystalline materials. However, the reliable interpretation of XRD patterns, particularly in multiphas…

cond-mat.mtrl-sci2025★ 2 cited

Advancing Quantum Many-Body GW Calculations on Exascale Supercomputing Platforms

Benran Zhang, Daniel Weinberg, Chih-En Hsu +9

Advanced ab initio materials simulations face growing challenges as increasing systems and phenomena complexity requires higher accuracy, driving up computational demands. Quantum…

cond-mat.mtrl-sci2025★ 1 cited

Towards a deeper fundamental understanding of (Al,Sc)N ferroelectric nitrides

Peng Chen, Dawei Wang, Alejandro Mercado Tejerina +4

Density Functional Theory (DFT) calculations, within the virtual crystal alloy approximation, are performed, along with the development of a Landau-type model employing a symmetry-…

cond-mat.mtrl-sci2025★ 17 cited

Unconventional Spintronics from Chiral Perovskites

Yuntian Liu, Reshna Shrestha, Konstantin Denisov +4

Spintronic devices typically employ heterostructures with ferromagnets which break time-reversal symmetry and have non-vanishing magnetization. With the growing class of materials…

cond-mat.mtrl-sci2025★ 1 cited

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy

Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70

Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…

cond-mat.mtrl-sci2025★ 6 cited

Effective bands and band-like electron transport in amorphous solids

Matthew Jankousky, Dimitar Pashov, Ross E. Larsen +3

The localization of electrons caused by atomic disorder is a well-known phenomenon. However, what circumstances allow electrons to remain delocalized and retain band-like character…

cond-mat.mtrl-sci2025★ 3 cited

Doping Topological Dirac Semimetal with magnetic impurities: electronic structure of Mn-doped CdAs

H. Ness, I. Leahy, A. Rice +3

The prospect of transforming a Dirac topological semimetal (TSM) into a Weyl TSM phase, following doping by magnetic impurities, is central to TSM applications. The magnetic field…

cond-mat.mtrl-sci2025★ 3 cited

Quantitative approaches for multi-scale structural analysis with atomic resolution electron microscopy

Noah Schnitzer, Lopa Bhatt, Ismail El Baggari +4

Atomic-resolution imaging with scanning transmission electron microscopy is a powerful tool for characterizing the nanoscale structure of materials, in particular features such as…

cond-mat.mtrl-sci2025★ 6 cited

Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization

Grace Guinan, Addison Salvador, Michelle A. Smeaton +7

What does materials science look like in the "Age of Artificial Intelligence?" Each materials domain-synthesis, characterization, and modeling-has a different answer to this questi…

cond-mat.mtrl-sci2025★ 11 cited

A Map of the Zintl AM2Pn2 Compounds: Influence of Chemistry on Stability and Electronic Structure

Andrew Pike, Zhenkun Yuan, Gideon Kassa +9

The AM2Pn2 (A= Ca, Sr, Ba, Yb, Mg; M= Mn, Zn, Cd, Mg; and Pn=N, P, As, Sb, Bi) family of Zintl phases has been known as thermoelectric materials and has recently gained much attent…