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Related papers: Accelerated Inorganic Electrides Discovery by Gene…

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Access to intrinsic properties of a 2D material is challenging due to the absence of a bulk that would dominate over surface contamination, and this lack of bulk also precludes effective conventional cleaning methods that are almost always…

Materials Science · Physics 2024-10-28 Hao Wang , Milinda Randeniya , Austin Houston , Gerd Duscher , Gong Gu

The practically unlimited high-dimensional composition space of high-entropy materials (HEMs) has emerged as an exciting platform for functional materials design and discovery. However, the identification of stable and synthesizable HEMs…

Materials Science · Physics 2024-03-01 Dibyendu Dey , Liangbo Liang , Liping Yu

Driven by the pursuit of high-performance electronic devices, research into novel materials with properties appropriate for cryogenic applications has unveiled the exceptional properties of the rare-earth nitride series of intrinsic…

Materials Science · Physics 2025-05-22 W. F. Holmes-Hewett , J. D. Miller , H. G. Ahmad , S. Granville , B. J. Ruck

A systematic electronic structure analysis was conducted for M(L)$_n$ molecular electrides and their corresponding alkalide units M(L)$_n$M' (M/M' = Na, K and L = Tren, Azacryptand, TriPip222 and $n$ = 1, 2). All complexes belong to the…

Materials Science · Physics 2023-11-06 Isuru R. Ariyarathna

Modern materials science has historically been founded on combining restricted subsets of the periodic table, favoring high-purity, few-element systems. However, the demands of an emerging circular economy, together with the need to…

Materials Science · Physics 2026-03-02 Anton Bochkarev , Yury Lysogorskiy , Aparna Subramanyam , Ralf Drautz , Danny Perez

Quantum material systems upon applying ultrashort laser pulses provide a rich platform to access excited material phases and their transformations that are not entirely like their equilibrium counterparts. The addressability and potential…

Strongly Correlated Electrons · Physics 2021-08-19 Xiaoyi Sun , Shuaishuai Sun , Chong-Yu Ruan

Although metallic elements favor three-dimensional (3D) geometries due to their isotropic, metallic bonding, experiments have reported metals also with two-dimensional (2D) allotropes, the so-called metallenes. And while bulk metals'…

Materials Science · Physics 2025-02-25 Kameyab Raza Abidi , Pekka Koskinen

The discovery of two-dimensional (2D) materials possessing switchable spontaneous polarization with atomic thickness opens up exciting opportunities to realize ultrathin, high-density electronic devices with potential applications ranging…

Materials Science · Physics 2020-11-04 Jiawei Huang , Sang-Hoon Lee , Andrew Supka , Young-Woo Son , Shi Liu

In this paper, we introduce a density-based topology optimization framework to design porous electrodes for maximum energy storage. We simulate the full cell with a model that incorporates electronic potential, ionic potential, and…

We present a computational screening of experimental structural repositories for fast Li-ion conductors, with the goal of finding new candidate materials for application as solid-state electrolytes in next-generation batteries. We start…

Materials Science · Physics 2021-06-10 Leonid Kahle , Aris Marcolongo , Nicola Marzari

Linear polarization analysis of hard x-rays is employed to probe electronic anisotropies in metal-containing complexes with very high selectivity. We use the pronounced linear dichroism of nuclear resonant x-ray scattering to determine…

This study presents a computationally efficient framework for accelerated alloy discovery that uses the non-interacting electron density to capture intrinsic structure-property relationships in refractory high-entropy alloys (HEAs). Unlike…

Materials Science · Physics 2026-04-28 Pranoy Ray , Sayan Bhowmik , Phanish Suryanarayana , Surya R. Kalidindi , Andrew J. Medford

Thin organic films and two-dimensional (2D) molecular assemblies on solid surfaces yield the potential for applications in molecular electronics, optoelectronics, catalysis, and sensing. These applications rely on the intrinsic electronic…

Two-dimensional (2D) materials are promising candidates for next-generation spintronic devices due to their tunable properties and potential for efficient spin-charge interconversion. However, discovering materials with intrinsically high…

Materials Science · Physics 2025-12-25 Abhijeet J. Kale , Sanjeev S. Navaratna , Pratik Sahu , Henry Chan , B. R. K. Nanda , Rohit Batra

Since the initial proposal in 1990s, the method of electron lenses has been successfully developed and employed at the high energy particle colliders, like Tevatron and RHIC. Here we propose a new set of electron multi beam elements…

Accelerator Physics · Physics 2018-01-30 Vladimir Shiltsev

Electron scattering will provide the most direct information about charge distribution in exotic nuclei. A technical proposal for an electron-heavy-ion collider has been incorporated in the GSI/Germany physics program (spokesperson: Haik…

Nuclear Theory · Physics 2007-05-23 C. A. Bertulani

Garnets, known since the early stages of human civilization, have found important applications in modern technologies including magnetorestriction, spintronics, lithium batteries, etc. The overwhelming majority of experimentally known…

Materials Science · Physics 2022-08-30 Jonathan Schmidt , Haichen Wang , Georg Schmidt , Miguel Marques

We review existing manifestations and prospects for ferroelectricity in electronically and optically active carbon-based materials. The focus point is the proposal for the electronic ferroelectricity in conjugated polymers from the family…

Materials Science · Physics 2015-12-15 Natasha Kirova , Serguei Brazovskii

The interest in two-dimensional and layered materials continues to expand, driven by the compelling properties of individual atomic layers that can be stacked and/or twisted into synthetic heterostructures. The plethora of electronic…

Traditional trial-and-error methods are obstacles for large-scale searching of new optoelectronic materials. Here, we introduce a method combining high-throughput ab initio calculations and machine-learning approaches to predict…

Materials Science · Physics 2021-02-24 Xing-Yu Ma , James P. Lewis , Qing-Bo Yan , Gang Su