papers

Publications (20)

cond-mat.mtrl-sci2021

Magnetoelastic Gilbert damping in magnetostrictive FeGa thin films

William K. Peria, Xinjun Wang, Heshan Yu +3

We report an enhanced magnetoelastic contribution to the Gilbert damping in highly magnetostrictive FeGa thin films. This effect is mitigated for perpendicular-to-p…

cond-mat.supr-con2016

Crystallographic dependent transport properties and oxygen issue in superconducting LiTi2O4 thin films

Yanli Jia, Ge He, Heshan Yu +10

A systematic study is performed on the spinel oxide, i.e. LiTi2O4 thin films oriented along [111]-, [110]-, and [001]-directions, to reveal the crystallographic dependence of trans…

cond-mat.supr-con2014

Anomalous magnetoresistance in the spinel superconductor LiTi2O4

Kui Jin, Ge He, Xiaohang Zhang +9

Transition-metal oxides offer an opportunity to explore unconventional superconductors, where the superconductivity (SC) is often interrelated with novel phenomena such as spin/cha…

cond-mat.str-el2017

Spin-orbital polarons in electron doped copper oxides

Anna Kusmartseva, Heshan Yu, Kui Jin +1

Present work demonstrates the formation of spin-orbital polarons in electron doped copper oxides, that arise due to doping-induced polarisation of the oxygen orbitals in the CuO$_2…

cond-mat.mes-hall2016

A conducting nano-filament (CNF) network as a precursor to the origin of superconductivity in electron-doped copper oxides

Heshan Yu, Ge He, Ziquan Lin +9

Emergency of superconductivity at the instabilities of antiferromagnetism has been widely recognized in unconventional superconductors. In copper-oxide superconductors, spin fluctu…

physics.optics2023

Tunable Structural Transmissive Color in Fano-Resonant Optical Coatings Employing Phase-Change Materials

Yi-Siou Huang, Chih-Yu Lee, Medha Rath +6

Reversible, nonvolatile, and pronounced refractive index modulation is an unprecedented combination of properties enabled by chalcogenide phase-change materials (PCMs). This combin…

cond-mat.supr-con2025

Persistent Fluctuating Superconductivity and Planckian Dissipation in Fe(Te,Se)

Jonathan Stensberg, Pok Man Tam, Xiaoyu Yuan +11

Increasingly intricate phase diagrams in new classes of superconductors host fascinating interactions between superconductivity, diverse quantum phases, and quantum critical dynami…

physics.optics2024

Reconfigurable inverse designed phase-change photonics

Changming Wu, Ziyu Jiao, Haoqin Deng +5

Chalcogenide phase-change materials (PCMs) offer a promising approach to programmable photonics thanks to their nonvolatile, reversible phase transitions and high refractive index…

cs.ET2021

Harnessing Optoelectronic Noises in a Photonic Generative Network

Changming Wu, Xiaoxuan Yang, Heshan Yu +4

Integrated optoelectronics is emerging as a promising platform of neural network accelerator, which affords efficient in-memory computing and high bandwidth interconnectivity. The…

cond-mat.supr-con2017

The effects of oxygen in spinel oxide Li1+xTi2-xO4-delta thin films

Yanli Jia, Ge He, Wei Hu +11

The evolution from superconducting LiTi2O4-delta to insulating Li4Ti5O12 thin films has been studied by precisely adjusting the oxygen pressure during the sample fabrication proces…

cond-mat.mtrl-sci2024

Real-time experiment-theory closed-loop interaction for autonomous materials science

Haotong Liang, Chuangye Wang, Heshan Yu +6

Iterative cycles of theoretical prediction and experimental validation are the cornerstone of the modern scientific method. However, the proverbial "closing of the loop" in experim…

physics.optics2020

Programmable Phase-change Metasurfaces on Waveguides for Multimode Photonic Convolutional Neural Network

Changming Wu, Heshan Yu, Seokhyeong Lee +3

Neuromorphic photonics has recently emerged as a promising hardware accelerator, with significant potential speed and energy advantages over digital electronics, for machine learni…

cond-mat.supr-con2017

Manipulating composition gradient in cuprate superconducting thin films

Heshan Yu, Jie Yuan, Beiyi Zhu +1

The techniques of growing films with different parameters in single process make it possible to build up a sample library promptly. In this work, with a precisely controlled moving…

cond-mat.supr-con2017

Fermi Surface reconstruction and anomalous low temperature resistivity in electron-doped La2-xCexCuO4

Tarapada Sarkar, P. R. Mandal, J. S. Higgins +4

We report ab-plane Hall Effect and magnetoresistivity measurements on La2-xCexCuO4 thin films as a function of doping for magnetic fields up to 14T and temperatures down to 1.8K. A…

cond-mat.supr-con2021

Universal scaling of the critical temperature and the strange-metal scattering rate in unconventional superconductors

Jie Yuan, Qihong Chen, Kun Jiang +17

Dramatic evolution of properties with minute change in the doping level is a hallmark of the complex chemistry which governs cuprate superconductivity as manifested in the celebrat…

cond-mat.supr-con2015

A close look at antiferromagnetism in multidimensional phase diagram of electron-doped copper oxide

Heshan Yu, Ge He, Ziquan Lin +8

Emergency of superconductivity at the instabilities of antiferromagnetism (AFM), spin/charge density waves has been widely recognized in unconventional superconductors. In copper-o…

physics.optics2023

Freeform Direct-write and Rewritable Photonic Integrated Circuits in Phase-Change Thin Films

Changming Wu, Haoqin Deng, Yi-Siou Huang +4

Photonic integrated circuits (PICs) with rapid prototyping and reprogramming capabilities promise revolutionary impacts on a plethora of photonic technologies. Here, we report dire…

cond-mat.supr-con2021

Magnetic field-tuned quantum criticality in optimally electron-doped cuprate thin films

Xu Zhang, Heshan Yu, Qihong Chen +14

Antiferromagnetic (AF) spin fluctuations are commonly believed to play a key role in electron pairing of cuprate superconductors. In electron-doped cuprates, it is still in paradox…

cond-mat.supr-con2016

Transport anomalies and quantum criticality in electron-doped cuprate superconductors

Xu Zhang, Heshan Yu, Ge He +4

Superconductivity research is like running a marathon. Three decades after the discovery of high-Tc cuprates, there have been mass data generated from transport measurements, which…

cond-mat.mtrl-sci2020

On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

A. Gilad Kusne, Heshan Yu, Changming Wu +13

Active learning - the field of machine learning (ML) dedicated to optimal experiment design, has played a part in science as far back as the 18th century when Laplace used it to gu…