Huiyi Cao

ORCID: 0000-0003-2165-6941
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About
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Research Areas
  • Chalcogenide Semiconductor Thin Films
  • Quantum Dots Synthesis And Properties
  • Copper-based nanomaterials and applications
  • Ferroelectric and Piezoelectric Materials
  • Multiferroics and related materials
  • Magnetic and transport properties of perovskites and related materials
  • nanoparticles nucleation surface interactions
  • ZnO doping and properties
  • Dielectric properties of ceramics
  • Luminescence and Fluorescent Materials
  • Luminescence Properties of Advanced Materials
  • Metallic Glasses and Amorphous Alloys
  • Magnesium Alloys: Properties and Applications
  • Phase-change materials and chalcogenides
  • Advanced Condensed Matter Physics
  • Metal and Thin Film Mechanics
  • Aluminum Alloy Microstructure Properties
  • Electronic and Structural Properties of Oxides
  • Advanced Thermoelectric Materials and Devices
  • High-Temperature Coating Behaviors
  • Solidification and crystal growth phenomena
  • Aluminum Alloys Composites Properties
  • Gait Recognition and Analysis
  • Human Mobility and Location-Based Analysis
  • High Temperature Alloys and Creep

BASF (United States)
2024

Case Western Reserve University
2019-2022

South China Agricultural University
2022

Hunan University of Science and Technology
2016-2018

East China Normal University
2013-2017

General Electric (United States)
2011

University of Wisconsin–Madison
2005-2009

Cu<sub>2</sub>ZnSnS<sub>4</sub> (CZTS) thin films with fine control over composition and pure phase were fabricated by sulfurization of co-electroplated Cu–Zn–Sn–S precursors.

10.1039/c5gc02057c article EN Green Chemistry 2015-09-03

A simple and cost-effective co-electrodeposition process has been demonstrated to fabricate high-performance Cu<sub>2</sub>ZnSnS<sub>4</sub> (CZTS) photovoltaic materials with composition tunability phase controllability.

10.1039/c5ta09636g article EN Journal of Materials Chemistry A 2016-01-01

Cu2ZnSnS4 thin films with thicknesses ranging from 0.35 to 1.85 μm and micron-sized grains (0.5-1.5 μm) were synthesized using co-electrodeposited Cu-Zn-Sn-S precursors different deposition times. Here we have introduced a sputtered CdS buffer layer for the development of CZTS solar cells first time, which enables breakthrough efficiencies up 6.6%.

10.1039/c5cc01170a article EN Chemical Communications 2015-01-01

Earth-abundant Cu<sub>2</sub>MnSnS<sub>4</sub> (CMTS) thin films were fabricated through a non-toxic spin-coating technique. For the first time we have demonstrated fabrication of CMTS solar cells with conversion efficiency 0.49%, based on this method.

10.1039/c5ra14595c article EN RSC Advances 2015-01-01

With the development of Internet Things (IoT), indoor localization has been a research focus in recent years. For inertial measurement unit (IMU)-based method, zero velocity update (ZUPT) uses known at stationary epoch as benchmark to calibrate drift. However, only takes up 24% whole gait cycle time, and drift remaining 76% time is usually estimated according an assumption that linear over which would introduce errors. In this paper, two-step calibration method was proposed based on human...

10.1109/jiot.2019.2915791 article EN publisher-specific-oa IEEE Internet of Things Journal 2019-05-09

In this study, we present a computational thermodynamic strategy to obtain minor but optimum amount of additional element into base alloy improve its glass-forming ability, through thermodynamically calculating the maximum liquidus depressions caused by various alloying addition (or replacement) schemes. We demonstrate successful use Zr56.2Cu31.3Ni4.0Al8.5 as with 4.9% Ti, observing significant increase in ability more than 100% terms diameter glass formed from one Ti. The approach presented...

10.1063/1.2115074 article EN Applied Physics Letters 2005-10-18

In this paper, a system for lower-limb amputees to collect and analyze their locomotion activities is developed. Wearable Gait Lab (WGL) pair of smart insoles that can plantar pressure data foot motion subjects. A reinforcement learning model trained imitate the walking pattern amputee on musculoskeletal by introducing realistic velocity into training process. The collected from our were used recognize modes amputees. Experiments showed outcome be reference analyzing muscle amputee. also...

10.1109/jsen.2020.2986768 article EN IEEE Sensors Journal 2020-04-09
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