C.-L. Huang

Rice University

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Co-Authors

E. Morosan

Rice University

Macy Stavinoha

Rice University

Andriy H. Nevidomskyy

Rice University

Susan M. Kauzlarich

University of California, Davis

Pengcheng Dai

Rice University

H. D. Yang

National Sun Yat-sen University

H. v. Löhneysen

Karlsruhe Institute of Technology

Alannah M. Hallas

Rice University

Kasey P. Devlin

Princeton University

James C. Fettinger

University of California, Davis

Cooperative Institutions

Rice University

National Sun Yat-sen University

National Yang Ming Chiao Tung University

National Cheng Kung University

Max Planck Institute for Chemical Physics of Solids

Chinese Academy of Sciences

Karlsruhe Institute of Technology

Oak Ridge National Laboratory

Institute of Physics, Academia Sinica

National Taiwan University

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CSD 1897832: Experimental Crystal Structure Determination

The Cambridge Structural Database (2018)

Macy Stavinoha Joya A. Cooley Stefan G. Minasian Tyrel M. McQueen Susan M. Kauzlarich

An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Crystal (programming language)

10.25505/fiz.icsd.cc21pvd0

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Quantum Simulation of an Extended Dicke Model with a Magnetic Solid

arXiv (Cornell University) (2023)

Nicolás Márquez Peraca Xinwei Li Jaime M. Moya Kenji Hayashida Xiaoxuan Ma

The Dicke model describes the cooperative interaction of an ensemble of two-level atoms with a single-mode photonic field and exhibits a quantum phase transition as a function of light--matter coupling strength. Extending this model by incorporating short-range atom--atom interactions makes the problem intractable but is expected to produce new phases. Here, we simulate such an extended Dicke model using a crystal of ErFeO$_3$, where the role of atoms (photons) is played by Er$^{3+}$ spins (Fe$^{3+}$ magnons). Through magnetocaloric effect and terahertz magnetospectroscopy measurements, we demonstrated the existence of a novel atomically ordered phase in addition to the superradiant and normal phases that are expected from the standard Dicke model. Further, we elucidated the nature of the phase boundaries in the temperature--magnetic-field phase diagram, identifying both first-order and second-order phase transitions. These results lay the foundation for studying multiatomic quantum optics models using well-characterized many-body condensed matter systems.

Magnon

10.48550/arxiv.2302.06028

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Magnetic properties of binary alloys Ni1−xMox and Ni Physica B Condensed Matter (2024)

Jui-Feng Hsu Ray-Lee Lin Enzuo Liu Wei‐Tin Chen C.-L. Huang

Scalable Vector Graphics

10.1016/j.physb.2024.416524

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CSD 1966362: Experimental Crystal Structure Determination

The Cambridge Structural Database (2020)

Macy Stavinoha C.-L. Huang Kasey P. Devlin James C. Fettinger Susan M. Kauzlarich

10.25505/fiz.icsd.cc24051d

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Unity 3D production and environmental perception vehicle simulation platform

Chih‐Wen Yang Tsung‐Han Lee C.-L. Huang Kuei-Shu Hsu

This paper uses the software package, Unity, to create a virtual reality system. After virtual structures of automobile bodies, streets, and background were created, various weather conditions such as sunny, rainy, and snowy along with artificial variables such as sudden crossings by pedestrians, roadblocks, vehicle and scooter blind spots, and other emergency events that can easily occur while driving were taken into account when establishing the system. The virtual reality model that simulates the operation of real cars and Unity 3D are used to integrate the driver into the test scenario while the driver's movements and gaze angle can serve as a research basis. Different driving scenarios were used to examine how the depth sensors react to enhance accuracy of the depth sensors when they are applied to real situations during the development process and when they are used to verify the effects of environmental factors on the scenes.

10.1109/icamse.2016.7840349

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Citations (20)

Pressure Effects on Superconductivity and Magnetism in FeSe_1-xTe_x

Journal of the Physical Society of Japan (2009)

C.-L. Huang Chih-Chieh Chou Kuo-Feng Tseng Yi-Lin Huang Fong-Chi Hsu

The pressure ( P ) dependence of AC susceptibility and electrical resistivity of FeSe 0.88 and FeSe 0.5 Te 0.5 has been studied. The superconducting transition temperature ( T c ) of FeSe 0.5 Te 0.5 is found to be more sensitive to P than it is in FeSe 0.88 , which is believed to arise from the strongly distorted structure. The enhancement of T c by P is mainly attributed to an increase of density of states, which implies that the superconductivity in FeSe 1- x Te x favors pairing mechanism in the context of strong-coupling BCS theory.

Magnetism

Iron-based superconductor

Transition temperature

10.1143/jpsj.78.084710

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Citations (29)

Transparent Barrier Coatings on Flexible Polyethersulfone Substrates for Moisture-Resistant Applications

Materials science forum (2005)

Dong Sing Wuu W.C. Lo C. C. Chiang H.B. Lin L.-S. Chang

10.4028/www.scientific.net/msf.475-479.4017

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Citations (1)

Application and Simulation of Cooperative Driving Sense Systems Using PreScan Software

2017 International Conference on Information, Communication and Engineering (ICICE) (2017)

Yan-Jyun Ou Xiangli Wang C.-L. Huang Jinn-Feng Jiang Hung-Yuan Wei

In this paper, we use vehicle sensor simulation platform (PreScan) to simulate the circumstance of driving on road to test the vehicle sensor. First, use PreScan to set up a scenario of streets and roads or to input realistic street view, to build virtual facilities, streets and scenes and add vehicles, road incidents, traffic signals, human errors, light factors and weather conditions, etc., as the base to test car sensor. After the construction of the virtual road scene, add PreScan built-in vehicle module and set up a camera at appropriate place to get the perspective of the driver. Then use SimuLink to set model for vehicle sensors for testing. In order to improve the safety, the efficiency and the consistency of road transport, Driver Supporting System and Intelligent Transport System could be the most potential creation in the market. The technology of Active Park Assist also becomes more important to the vehicle manufacturers. The performance/function of the vehicle sensor is a key point. The test vehicle sensors in the past mostly use real vehicles for test and the risk and the cost of this kind of test is huge and expensive. But if we test it by PreScan, it can not only provide with almost real physical data to reliable information, but also can avoid the risks and the tremendous amount of cost resulted from using real vehicles for test.

Scenario testing

10.1109/icice.2017.8479296

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Citations (4)

Design and fabrication of thin film optical filters to replace fiber Bragg grating in Yb-doped fiber laser

Thin Solid Films (2010)

C. N. Hsiao Po-Kai Chiu W. H. Cho H.B. Chen F.Z. Chen

Fiber Bragg Grating

PHOSFOS

10.1016/j.tsf.2010.05.008

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Citations (5)

Low-temperature properties of CeAu2Ge2single crystals grown from Au-Ge and Sn flux

Physical Review B (2012)

C.-L. Huang V. Fritsch Wolfram Kittler H. v. Löhneysen

The specific heat of CeAu${}_{2}$Ge${}_{2}$ single crystals grown from Au-Ge (AGF) or Sn flux (SF) was measured at temperatures $T$ between 1.8 and 200 K. Two magnetic transitions are observed in the zero-field specific heat at 12.1 and 14.5 K in the AGF sample, while only a single sharp transition at 9.2 K is seen in the SF sample, confirming our recent susceptibility results [Fritsch et al., Phys. Rev. B 84, 104446 (2011)]. We observe several field-induced transitions in the magnetoresistance of the AGF sample measured at 1.6 and 2.3 K in accordance with the $B\ensuremath{-}T$ phase diagram constructed from isothermal magnetization curves $M(B)$. In addition, we have measured $M(B)$ under hydrostatic pressure $P$ up to 10.5 kbar. The N\'eel temperature ${T}_{\mathrm{N}}$ increases linearly with $P$ at a small rate of 0.049 K/kbar, which suggests that, if ${T}_{\mathrm{N}}(P)$ is attributed to a pure volume effect, this compound is close to the maximum transition temperature of the Doniach diagram. The transition fields ${B}_{\mathrm{M}}$ between the field-induced phases increase linearly with $P$ as well. The comparable Gr\"uneisen parameters of ${T}_{\mathrm{N}}$ and ${B}_{\mathrm{M}}$ indicate that the energy scale depending on the sample's volume is given by the antiferromagnetic correlations and not by the Kondo effect. We discuss possible reasons for the different magnetic behavior of AGF and SF samples.

Hydrostatic pressure

10.1103/physrevb.86.214401

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Citations (9)