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The advancement of machine learning technologies has revolutionized the search and optimization of material properties. These algorithms often rely on theoretical calculations, such as density functional theory (DFT), for data inputs and…

Materials Science · Physics 2024-11-06 Christopher Broyles , William Charles , Sheng Ran

Accurately predicting magnetic behavior across diverse materials systems remains a longstanding challenge due to the complex interplay of structural and electronic factors and is pivotal for the accelerated discovery and design of…

Materials Science · Physics 2025-07-03 Apoorv Verma , Junaid Jami , Amrita Bhattacharya

In comparison to 3d or 4f metals, magnetism in actinides remains poorly understood due to experimental complications and the exotic behavior of the 5f states. In particular, plutonium metal is most especially vexing. Over the last five…

Strongly Correlated Electrons · Physics 2008-12-22 G. van der Laan , K. T. Moore

In actinide systems, the 5f electrons experience a uniquely delicate balance of effects and interactions having similar energy scales, which are often difficult to properly disentangle. This interplay of factors such as the dual nature of…

Strongly Correlated Electrons · Physics 2024-03-05 Binod K. Rai , Alex Bretana , Gregory Morrison , Ryan Greer , Krzysztof Gofryk , Hans-Conrad zur Loye

Magnetic materials have been applied in a large variety of technologies, from data storage to quantum devices. The development of 2D materials has opened new arenas for magnetic compounds, even when classical theories discourage their…

Materials Science · Physics 2022-02-11 Carlos Mera Acosta , Elton Ogoshi , Jose Antonio Souza , Gustavo M. Dalpian

Uranium and plutonium's 5f electrons are tenuously poised between strongly bonding with ligand spd-states and residing close to the nucleus. The unusual properties of these elements and their compounds (eg. the six different allotropes of…

A review is given of the experimental situation and theoretical predictions concerning unconventional magnetic ordering in dense Kondo 4f- and 5f-systems, including recently investigated on cerium, ytterbium, and actinide based ternary…

Strongly Correlated Electrons · Physics 2017-11-16 V. Yu. Irkhin

In heavy-fermion compounds, the dual character of $f$ electrons underlies their rich and often exotic properties like fragile heavy quasipartilces, variety of magnetic orders and unconventional superconductivity. 5$f$-electron actinide…

Strongly Correlated Electrons · Physics 2019-09-13 Q. Y. Chen , X. B. Luo , D. H. Xie , M. L. Li , X. Y. Ji , R. Zhou , Y. B. Huang , W. Zhang , W. Feng , Y. Zhang , X. G. Zhu , Q. Q. Hao , Q. Liu , L. Huang , P. Zhang , X. C. Lai , Q. Si , S. Y. Tan

Actinide compounds with 5f electrons have been attracting much attention because of their interesting magnetic and electronic properties such as heavy fermion state, unconventional superconductivity, co-existence of the superconductivity…

Strongly Correlated Electrons · Physics 2018-02-28 Naoyuki Tateiwa , Jiri Pospisil , Yoshinori Haga , Hironori Sakai , Tatsuma D. Matsuda , Etsuji Yamamoto

Actinide elements produce a plethora of interesting physical behaviors due to the 5f states. This review compiles and analyzes progress in understanding of the electronic and magnetic structure of the 5f states in actinide metals.…

Strongly Correlated Electrons · Physics 2009-11-13 Kevin T. Moore , Gerrit van der Laan

Based on geometry optimization and magnetic structure investigations within density functional theory, unique uranium nitride fluoride UNF, isoelectronic with UO2, is shown to present peculiar differentiated physical properties. Such…

Materials Science · Physics 2018-08-30 Samir F Matar

The actinide elemental metals are scare, often toxic and radio active, causing challenges for both experiments and theory while offering fascinating physics. For practical purposes they are the prevalent building blocks for materials where…

Materials Science · Physics 2016-08-26 P. Soderlind

The development of multifunctional devices calls for the discovery of new layered materials with novel electronic properties. f-electron systems naturally host a rich set of competing and intertwining phases owning to the presence of strong…

Materials Science · Physics 2024-11-27 Lin Hou , Ying Wai Li , Christopher Lane

In this review article we present a survey of unconventional superconductors and their coexistence behaviour with magnetism. We focus on Ce- and U-based heavy fermion superconductors, in addition we discuss the rare earth borocarbide and…

Strongly Correlated Electrons · Physics 2009-09-29 Peter Thalmeier , Gertrud Zwicknagl

We employ a combination of machine learning and first-principles calculations to predict magnetic properties of rare-earth lean magnets. For this purpose, based on training set constructed out of experimental data, the machine is trained to…

Materials Science · Physics 2020-09-16 Anita Halder , Samir Rom , Aishwaryo Ghosh , Tanusri Saha-Dasgupta

In heavy-fermion compounds, f electrons show both itinerant and localized behaviour depending on the external conditions, and the hybridization between localized f electrons and itinerant conduction bands gives rise to their exotic…

Strongly Correlated Electrons · Physics 2017-07-10 D. H. Xie , M. L. Li , W. Zhang , L. Huang , W. Feng , Y. Fang , Y. Zhang , Q. Y. Chen , X. G. Zhu , Q. Liu , B. K. Yuan , L. Z. Luo , P. Zhang , X. C. Lai , S. Y. Tan

Machine Learning (ML) plays an increasingly important role in the discovery and design of new materials. In this paper, we demonstrate the potential of ML for materials research using hard-magnetic phases as an illustrative case. We build…

Materials Science · Physics 2018-10-04 Johannes J. Möller , Wolfgang Körner , Georg Krugel , Daniel F. Urban , Christian Elsässer

We investigate the electronic and magnetic structures of the 122 (AM$_2$B$_2$) hexagonal transition-metal pnictides with A=(Sr, Ca), M=(Cr, Mn, Fe, Co, Ni) and B=(As, P, Sb). It is found that the family of materials share critical…

Superconductivity · Physics 2017-11-21 Jinfeng Zeng , Shengshan Qin , Congcong Le , Jiangping Hu

Magnetism prediction is of great significance for Fe-based metallic glasses (FeMGs), which have shown great commercial value. Theories or models established based on condensed matter physics exhibit several exceptions and limited accuracy.…

Materials Science · Physics 2022-03-18 Xin Li , Guangcun Shan , C. H. Shek

Recently, machine-learning approaches have accelerated computational materials design and the search for advanced solid electrolytes. However, the predictors are currently limited to static structural parameters, which may not fully account…

Materials Science · Physics 2026-01-19 Jiyeon Kim , Donggeon Lee , Dongwoo Lee , Xin Li , Yea-Lee Lee , Sooran Kim
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