- Random lasers and scattering media
- Low-power high-performance VLSI design
- Metamaterials and Metasurfaces Applications
- Analog and Mixed-Signal Circuit Design
- Semiconductor materials and devices
- Atomic and Molecular Physics
- CCD and CMOS Imaging Sensors
- Advancements in Semiconductor Devices and Circuit Design
- Extraction and Separation Processes
- Quantum and electron transport phenomena
- Stellar, planetary, and galactic studies
- Neural Networks and Reservoir Computing
- Advanced Neural Network Applications
- Astro and Planetary Science
- Bauxite Residue and Utilization
- Advanced Memory and Neural Computing
- Advanced materials and composites
- Astrophysics and Star Formation Studies
- Neuroscience and Neural Engineering
- Advanced Antenna and Metasurface Technologies
- 3D IC and TSV technologies
- VLSI and Analog Circuit Testing
- Recycling and Waste Management Techniques
- Metal Extraction and Bioleaching
- Gamma-ray bursts and supernovae
Tsinghua University
1994-2025
Kavli Institute for Theoretical Sciences
2024
Peking University
2024
Ministry of Education of the People's Republic of China
2021
Nanjing University
2021
University of Massachusetts Amherst
2006-2007
China Center of Advanced Science and Technology
1994
Spectral imaging paves the way for various fields, particularly in biomedical research. However, spectral imaging, mainly depending on spatial or temporal scanning, cannot achieve high temporal, spatial, and resolution simultaneously. In this study, we demonstrated a silicon real-time ultraspectral chip based reconfigurable metasurfaces, comprising 155,216 ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:mn>356</mml:mn>...
Abstract Metasurfaces have an exceptional capacity to manipulate the phase, amplitude, polarization, or spectrum of light. However, unit cells, meta‐atoms, metasurfaces are conventionally designed using regular shapes, limiting performance improvement. The utilization with freeform shaped meta‐atoms for on‐chip ultraspectral imaging is proposed, where patterns generated controllable feature sizes and boundary curvatures feasible fabrication. These broaden design diversity enrich...
Optical neural networks are considered next-generation physical implementations of artificial networks, but their capabilities limited by on-chip integration scale and requirement for coherent light sources. This study proposes a spectral convolutional network (SCNN) with matter meta-imaging. The optical layer is implemented integrating very large-scale pixel-aligned filters on CMOS image sensor. It facilitates highly parallel vector-inner products incident incoherent natural i.e., the...
The Chinese CubeSat Mission, Gamma Ray Integrated Detectors (GRID), recently detected its first gamma-ray burst, GRB 210121A, which was jointly observed by the Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM). This burst is confirmed several other missions, including \fermi and \textit{Insight}-HXMT. We combined multi-mission observational data performed a comprehensive analysis of burst's temporal spectral properties. Our results show that relatively...
Abstract Magnetized disk winds and wind-driven accretion are an essential intensively studied dispersion mechanism of protoplanetary disks (PPDs). However, the stability these mechanisms has yet to be adequately examined. This paper employs semi-analytic linear perturbation theories under nonideal magnetohydrodynamics, focusing on models whose magnetic diffusivities vary by a few orders magnitude from midplane its surface. Linear modes distinguished their symmetry with respect midplane....
Thermal issues are an increasing concern in microelectronics due to increased power density as well the vulnerability of system temperature effects (delay, leakage, reliability). NoCs promise relieve many scaling problems that arise with levels on-chip integration. This paper addressed impacts on NoC interconnect circuits under harsh uniform changes and non-uniform spatial distribution profiles. Temporal thermal variations were 65 nm, 45 nm 32 circuits. Standard repeater insertion...
The binding and transition energies of ${\mathit{D}}^{0}$ ${\mathit{D}}^{\mathrm{\ensuremath{-}}}$ off center in GaAs-${\mathrm{Ga}}_{1\mathrm{\ensuremath{-}}\mathit{x}}$${\mathrm{Al}}_{\mathit{x}}$As quantum wells (QW's) a magnetic field are reported. It is found that can make the energy QW's not only increase but also decrease very strong dissociate into an electron ${\mathit{D}}^{0}$. On basis analysis variation with field, method proposed for experimentalists to confirm states QW's.
A novel low power column level up/down double data-rate (DDR) counter for CMOS image sensors is proposed. To reduce the consumption, a lowest bit circuit recording parity information of signal designed. The proposed suitable digital correlated sampling operation. 11-bit realized with 65nm process and total consumption in 500MHz clock only 5.68 which 80.6% compared to traditional DDR counter.
We proposed a reconstruction algorithm powered by deep learning technics for snapshot hyperspectral imaging based on compressive sensing. The fast computational speed and high fidelity make it practical in real-time on-chip systems.
Variational calculations are performed for the ground and first excited states of D0 off centre lowest singlet triplet D- in quantum wells a magnetic field. It is found that off-centre effect on binding energies increases with increasing The energy state can be larger than corresponding one if field strong enough.
Global on-chip interconnects in 70 nm and beyond present challenges satisfying delay constraints while minimizing energy consumption, especially due to leakage [1]. Although many global may have low activity factors (e.g. cache fill bus) thus reducing dynamic power, is still a great concern. Leakage an increasing concern traditional repeated the large device sizes required meet tight [2] inherently distributed nature of repeaters which complicates power gating. Differential current sensing...
With the rapid development and wide application of Li-ion batteries, cathode materials containing value metals Co, Ni Mn are blended by several kind metal oxide presently for pursuing high safe stability low cost. The composition spent batteries has become complicated optimum leaching condition varied. In this paper, process mixture pure LiCoO 2 Li (Ni 1/3 Co )O was studied. an increase in component mixed materials, varied as: temperature from 60°C to 90°C, H O addition amount 0.54 0.75ml/g...
Tribological behavior of B4C-SiC self-mated pairs was studied, and pre-oxidation treatment adopted to improve the tribological properties B4C-SiC. At same SiC content, self-friction coefficient decreases with increase sliding distance, normal load, velocity; while increasing content leads both ware rate, which determined be within range 0.8×10-6~5.8×10-6 mm3·N-1·m-1. Pre-oxidation resulted in formation B2O3/H3BO3 lubricant layers, effectively reduced coefficient.
Reductive ammonia leaching method was used to recover Cu and Co from heterogenite. The influences of the reductant quantity, temperature, concentration ratio NH 3 (NH 4 ) 2 SO , time liquid-solid (L/S) on rate cobalt copper were investigated. optimal conditions at which 96.07%, 98.24% respectively that Fe, Mg Al almost 0 as follows: = 5 h, T 50°C, amount is 1.2 times theorrtical, C(NH ):C [(NH ] =1:3, L/S 3:1, dosage Na 0.5 heterogenites mass.
A new course at the University of Massachusetts Amherst in digital systems design uses a novel approach comparing ASIC and FPGA technologies, implementations, methodologies, CAD tools trends. The builds on basic courses VLSI, HDL-based programmable logic but introduces large-scale associated methodologies tools. Recent advancements due to Moore's law have resulted significant challenges physical design, including interconnection, power consumption, reliability verification. These are...