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The magnetic ground-state properties of the periodic Anderson model with a regular depletion of the correlated sites are analyzed within different theoretical approaches. We consider the model on the one-dimensional chain and on the…

Strongly Correlated Electrons · Physics 2014-07-16 Irakli Titvinidze , Andrej Schwabe , Michael Potthoff

Complex oxide thin films and heterostructures offer a wide range of properties originating from the intrinsic coupling between lattice strain and magnetic/electronic ordering. This article reviews experimental, phenomenological, and…

Strongly Correlated Electrons · Physics 2023-10-20 Surendra Singh

Antiferromagnets (AFMs) with zero net magnetization are proposed as active elements in future spintronic devices. Depending on the critical thickness of the AFM thin films and the measurement temperature, bimetallic Mn-based alloys and…

Machine learning has emerged as a novel tool for the efficient prediction of materials properties, and claims have been made that machine-learned models for the formation energy of compounds can approach the accuracy of Density Functional…

Materials Science · Physics 2020-07-14 Christopher J. Bartel , Amalie Trewartha , Qi Wang , Alexander Dunn , Anubhav Jain , Gerbrand Ceder

We report on the magnetic properties of the supra-molecular compound iron(II) phthalocyanine in its alpha-form. dc- and ac-susceptometry measurements and Mossbauer experiments show that the iron atoms are strongly magnetically coupled into…

Condensed Matter · Physics 2007-05-23 M. Evangelisti , J. Bartolome , L. J. de Jongh , G. Filoti

Density-functional theory with extended Hubbard functionals (DFT+$U$+$V$) provides a robust framework to accurately describe complex materials containing transition-metal or rare-earth elements. It does so by mitigating self-interaction…

Materials Science · Physics 2025-01-30 Martin Uhrin , Austin Zadoks , Luca Binci , Nicola Marzari , Iurii Timrov

The effective spin Hamiltonian method is widely adopted to simulate and understand the behavior of magnetism. However, the magnetic interactions of some systems, such as itinerant magnets, are too complex to be described by any explicit…

Materials Science · Physics 2022-05-20 Hongyu Yu , Changsong Xu , Feng Lou , L. Bellaiche , Zhenpeng Hu , Xingao Gong , Hongjun Xiang

The revealing properties of transition metal (T)-doped graphene systems are investigated with the use of the first-principles method. The detailed calculations cover the bond length, position and height of adatoms, binding energy,…

Materials Science · Physics 2019-05-06 Ngoc Thanh Thuy Tran , Duy Khanh Nguyen , Shih-Yang Lin , Godfrey Gumbs , Ming Fa-Lin

We present a systematic high-throughput density-functional-theory investigation of the structural and magnetic stability of 312 substitutional compounds in the magnetic kagome AT6X6 family. Our screening confirms the stability of many…

Materials Science · Physics 2026-05-05 Shiya Chen , Zhen Zhang , Vladimir Antropov , Yang Sun

The mechanical properties are essential for structural materials. The analyzed 360 data on four mechanical properties of steels, viz. fatigue strength, tensile strength, fracture strength, and hardness, are selected from the NIMS database,…

Applied Physics · Physics 2021-01-05 Jie Xiong , Tong-Yi Zhang , San-Qiang Shi

In this work, we employ a machine-learning-assisted high-throughput density functional theory framework to systematically investigate the stability, electronic structure, and magnetic ground states of 234 M$_4$X$_3$T$_x$ MXenes. The machine…

Materials Science · Physics 2026-03-05 Sakshi Goel , Arti Kashyap

Machine learning (ML) methods have become powerful tools for predicting material properties with near first-principles accuracy and vastly reduced computational cost. However, the performance of ML models critically depends on the quality,…

Materials Science · Physics 2025-11-20 Pol Benítez , Cibrán López , Edgardo Saucedo , Teruyasu Mizoguchi , Claudio Cazorla

Superconductivity arises in the layered iron-pnictide compounds when magnetic long range order disappears. We use first principles density functional methods to study magnetic arrangements that may compete with long range order near the…

Superconductivity · Physics 2009-11-03 Z. P. Yin , W. E. Pickett

The series of intermetallic compounds $R$NiSi$_3$ ($R$ = rare earth) shows interesting magnetic properties evolving with $R$ and metamagnetic transitions under applied magnetic field for some of the compounds. The microscopic magnetic…

Strongly Correlated Electrons · Physics 2019-07-24 R. Tartaglia , F. R. Arantes , C. W. Galdino , D. Rigitano , U. F. Kaneko , M. A. Avila , E. Granado

Electrons at the border of localization generate exotic states of matter across all classes of strongly correlated electron materials and many other quantum materials with emergent functionality. Heavy electron metals are a model example,…

The recent discovery of iron ferropnictide superconductors has received intensive concerns on magnetic involved superconductors. Prominent features of ferropnictide superconductors are becoming apparent: the parent compounds exhibit…

Superconductivity · Physics 2019-08-19 Junjie Wu , Jungfu Lin , Xiancheng Wang , Qingqing Liu , Jinglong Zhu , Yuming Xiao , Paul Chow , Changqing Jin

Magnetic properties of uranium and neptunium compounds showing the coexistence of Kondo screening effect and ferromagnetic order are investigated within the Anderson lattice Hamiltonian with a two-fold degenerate $f$-level in each site,…

Strongly Correlated Electrons · Physics 2013-06-25 Christopher Thomas , Acirete S. da Rosa Simões , J. R. Iglesias , C. Lacroix , N. B. Perkins , B. Coqblin

We report a microscopic investigation of the magnetic structure and electronic properties of LaMnSi in its antiferromagnetic (AFM) state using nuclear magnetic resonance (NMR). Field-swept $^{55}$Mn- and $^{139}$La-NMR spectra, as well as…

Strongly Correlated Electrons · Physics 2026-01-29 Yusuke Sakai , Fumiya Hori , Hiroki Matsumura , Shumpei Oguchi , Shunsaku Kitagawa , Kenji Ishida , Hiroshi Tanida

An integrated data-driven approach combined with a high-throughput framework based on first-principles calculations was used to discover novel rare-earth-free permanent magnets, focusing on binary alloys. Compounds were screened…

Materials Science · Physics 2025-07-03 Junaid Jami , Nitish Bhagat , Amrita Bhattacharya

Magnetic metal-organic frameworks (MMOFs), where magnetic metal nodes are connected into a crystal structure by organic linkers, have a potential to host exotic magnetic states. We present a study of bulk magnetic properties of four…