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Based on deep neural networks (DNNs), deep learning has been successfully applied to many problems, but its mechanism is still not well understood -- especially the reason why over-parametrized DNNs can generalize. A recent statistical…

Disordered Systems and Neural Networks · Physics 2025-06-10 Gang Huang , Lai Shun Chan , Hajime Yoshino , Ge Zhang , Yuliang Jin

In the evolving landscape of transportation systems, integrating Large Language Models (LLMs) offers a promising frontier for advancing intelligent decision-making across various applications. This paper introduces a novel 3-dimensional…

Machine Learning · Computer Science 2024-12-17 Dexter Le , Aybars Yunusoglu , Karn Tiwari , Murat Isik , I. Can Dikmen

Bio-conjugated nanomaterials play a promising role in the development of novel supramolecular structures, molecular machines, and biosensing devices. In this study, lipid-conjugated gold nanoparticles were synthesized and allowed to form a…

Materials Science · Physics 2012-07-24 Subhasish Chatterjee , Markrete Krikorian , Harry D. Gafney , Bonnie Gersten

Gallium-based liquid metals, as a broad category of emerging functional materials with unique physical, chemical, and biological properties, offer numerous possibilities for advancing intelligent systems. However, a basic query persistently…

Applied Physics · Physics 2025-12-05 Jingyi Li , Mengwen Qiao , Minghui Guo , Zerong Xing , Yunlong Bai , Ju Wang , Yujia Song , Ren Xu , Xi Zhao , Jing Liu

The possibility of the non local physics application in the theory of superconductivity is investigated. It is shown that by the superconducting conditions the relay ("estafette") motion of the soliton' system ("attice ion - electron") is…

General Physics · Physics 2012-03-07 Boris V. Alexeev

The high-entropy concept was applied to the synthesis of transition-metal antimonides, M1-xPtxSb (M = equimolar Ru, Rh, Pd, and Ir). High-entropy antimonide samples crystallized in a pseudo-hexagonal NiAs-type crystal structure with a…

Superconductivity · Physics 2025-04-01 Daigorou Hirai , Naoto Uematsu , Koh Saitoh , Naoyuki Katayama , Koshi Takenaka

The discovery of near-room-temperature superconductivity in compressed hydrides has sparked intensive research efforts to identify superconducting hydrides stable at low or even ambient pressures. Herein, we demonstrate a new mechanism for…

Superconductivity · Physics 2025-06-03 Wendi Zhao , Shumin Guo , Tiancheng Ma , Zhengtao Liu , Chengda Li , Defang Duan , Tian Cui

Liquid diodes are surface structures that facilitate the flow of liquids in a specific direction. When these structures are within the capillary regime, they promote liquid transport without the need for external forces. In nature, they are…

Soft Condensed Matter · Physics 2023-08-24 Camilla Sammartino , Yair Shokef , Bat-El Pinchasik

Superconducting junctions are widely used in multitude of applications ranging from quantum information science and sensing to solid-state cooling. Traditionally, such devices must be fabricated on flat substrates using standard…

Superconductivity · Physics 2021-02-03 Samuli Heiskanen , Ilari J. Maasilta

Superdiffusion is an anomalous transport behavior. Recently, a new mechanism, termed the ``nodal mechanism," has been proposed to induce superdiffusion in quantum models. However, existing realizations of the nodal mechanism have so far…

Mesoscale and Nanoscale Physics · Physics 2025-11-14 Shaofeng Huang , Yu-Peng Wang , Jie Ren , Chen Fang

Soft electronics are a promising and revolutionary alternative for traditional electronics when safe physical interaction between machines and the human body is required. Among various materials architectures developed for producing soft…

Applied Physics · Physics 2021-04-16 Kaveh Alizadeh

We study layered systems and heterostructures of s-wave superconductors by means of a suitable generalization of Dynamical Mean-Field Theory. In order to reduce the computational effort, we consider an embedding scheme in which a relatively…

Strongly Correlated Electrons · Physics 2016-06-22 Francesco Petocchi , Massimo Capone

Matter at intermediate baryon densities and low temperatures is notoriously hard to tackle theoretically. Whereas lattice methods cannot cover more than rather small densities, perturbative methods are only applicable at much higher…

High Energy Physics - Phenomenology · Physics 2018-12-03 Alexander Haber

Nanoporous metals possess unique properties attributed to their high surface area and interconnected nanoscale ligaments. They are mostly fabricated by wet synthetic methods involving solution-based dealloying processes whose purity is…

Liquid crystals are synthetic and biological viscoelastic anisotropic soft matter materials that combine liquid fluidity with crystal anisotropy and find use in optical devices, sensor/actuators, lubrication, super-fibers. Frequently…

Soft Condensed Matter · Physics 2013-11-22 Ezequiel R. Soule , Alejandro D. Rey

Large language models (LLMs) such as generative pretrained transformers (GPTs) have shown potential for various commercial applications, but their applicability for materials design remains underexplored. In this article, we introduce…

Materials Science · Physics 2024-07-02 Kamal Choudhary

A possibility of high, room-temperature superconductivity was predicted for metallic hydrogen in the 1960s. However, metallization and superconductivity of hydrogen are yet to be unambiguously demonstrated in the laboratory and may require…

To synthesize a new superconductor which has a critical temperature, Tc, exceeding the room temperature, one needs to know what chemical components to start with. This chapter presents analysis of experimental data which allow one to draw a…

Superconductivity · Physics 2007-05-23 A. Mourachkine

Room temperature superconductivity, as one of the famous jewels on the crown of physics, has attracted continuous attention and unremitting efforts from numerous scientists. In recent years, more and more reports on room temperature…

Superconductivity · Physics 2025-03-05 Huiqian Luo

Large language models (LLMs) have recently demonstrated strong reasoning capabilities and attracted increasing research attention in the field of autonomous driving (AD). However, safe application of LLMs on AD perception and prediction…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Yanjiao Liu , Jiawei Liu , Xun Gong , Zifei Nie
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