科研成果

2024
Sun J, Cheng Z, Liang J, Shigekawa N, Kawamura K, Uratani H, Sakaida Y, Cahill DG. Probe beam deflection technique with liquid immersion for fast mapping of thermal conductance. Applied Physics Letters. 2024;124(4).
Kang Y, Liu C, Zhu J-P, Gao Y, Shao L, Zhang B, Sun H, Yin Y-HI, Zhang B-B. Prospects for detecting neutron star–white dwarf mergers with decihertz gravitational-wave observatories. Mon. Not. Roy. Astron. Soc. 2024;528:5309–5322.
Qiu Y, Ma Y, Wu M, Jia Y, Qu X, Zhou Z, Lou J, Jia T, Ye L, HUANG R. Quartet: A 22nm 0.09mJ/inference digital compute-in-memory versatile AI accelerator with heterogeneous tensor engines and off-chip-less dataflow, in IEEE Custom Integrated Circuit Conference (CICC).; 2024.
Qiu Y, Ma* Y, Wu M, Jia Y, Qu X, Zhou Z, Lou J, Jia T, Ye L, HUANG R. Quartet: A 22nm 0.09mJ/lnference Digital Compute-in-Memory Versatile AI Accelerator with Heterogeneous Tensor Engines and Off-Chip-Less Dataflow. IEEE Custom Integrated Circuits Conference (CICC) [Internet]. 2024. Links
Masten HN, Lundh JS, Feygelson TI, Sasaki K, Cheng Z, Spencer JA, Liao P-Y, Hite JK, Pennachio DJ, Jacobs AG. Reduced temperature in lateral (AlxGa1− x) 2O3/Ga2O3 heterojunction field effect transistor capped with nanocrystalline diamond. Applied Physics Letters. 2024;124(15).
Wang X, Yan P, Liu C. Responsibility toward society: A review and prospect of Savolainen’severyday information practice. Data and Information Management [Internet]. 2024. 访问链接
Wu M, Ren W, Chen P, Zhao W, Jing Y, Ru J, Wang Z, Ma Y, HUANG R, Jia T, et al. S2D-CIM: A 22nm 128Kb systolic digital compute-in-memory macro with domino data path for flexible vector operation and 2-D weight update in edge AI applications, in IEEE Custom Integrated Circuit Conference (CICC).; 2024.
Wu M, Ren W, Chen P, Zhao W, Jing Y, Ru J, Wang Z, Ma Y, HUANG R, Jia* T, et al. S2D-CIM: A 22nm 128Kb Systolic Digital Compute-in-Memory Macro with Domino Data Path for Flexible Vector Operation and 2-D Weight Update in Edge AI Applications. IEEE Custom Integrated Circuits Conference (CICC) [Internet]. 2024. Links
Long G, Pan M, Zeng H, Huang H. Second-order topological insulators in two-dimensional monolayers of the 1T-phase PtSe2 material class. Phys. Rev. Mater. [Internet]. 2024;8:044203. 访问链接
Wang B, Xu X, Zhang Z, Zhu H, Yan Y, Wu X, Chen J*. Self-supervised speech representation and contextual text embedding for match-mismatch classification with EEG recording, in arXiv; 2024. 访问链接
Wang B, Xu X, Zhang L, Xiao B, Wu X, Chen J*. Semantic Reconstruction of Continuous Language from MEG Signals, in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).; 2024:2190–2194. 访问链接
Merrill S, Schroeder R, Åkerlund M, Jumle V, Rau J, Schwieter C, Yan P, Kessling P. The Shifting Image of Sweden Abroad: Framings of the 2022 Swedish Election in Traditional and Far-Right Online Media from the United States, Germany, India, and China. Nationalism and Ethnic Politics [Internet]. 2024:1-21. 访问链接
Hsiao Y-S, Wan Z, Jia T, Ghosal R, Mahmoud A, Raychowdhury A, Brooks D, Wei G-Y, Reddi VJ. Silent data corruption in robot operating system: A case for end-to-end system-level fault analysis using autonomous UAVs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). 2024.
Yang Xie#, Ziqiao Zhou# QSMZJPQLYSHD* TL*. Social-economic transitions and vulnerability to extreme temperature events from 1960 to 2020 in Chinese Cities. iScience. 2024;27:109066.
Li M, Zhi Q, Dong Y, Ye L, Jia T. SPARK: An Efficient Hybrid Acceleration Architecture with Run-Time Sparsity-Aware Scheduling for TinyML Learning, in Design Automation Conference (DAC).; 2024.
Liu Y, Chen Z, Zhao W, Zhao T, Jia T, Wang Z, HUANG R, Ye L, Ma Y. Sparsity-Aware In-Memory Neuromorphic Computing Unit with Configurable Topology of Hybrid Spiking and Artificial Neural Network. IEEE Transactions on Circuits and Systems I: Regular Papers. 2024.
Liu Y, Chen Z, Zhao W, Zhao T, Jia T, Wang* Z, HUANG R, Ye L, Ma* Y. Sparsity-Aware In-Memory Neuromorphic Computing Unit With Configurable Topology of Hybrid Spiking and Artificial Neural Network. IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) [Internet]. 2024. Links
Liu T. A three-dimensional reservoir-scale Thermal-Hydrological-Mechanical model of enhanced geothermal systems, in Interpore 2024.; 2024. 访问链接Abstract
The heat energy resource in the deep earth (3 ∼10 km), which is carried by Hot Dry Rocks (HDR), has a huge capacity for geothermal power generation. As a type of conductive geothermal energy, HDR has low rock permeability, so that Enhanced/Engineered Geothermal System (EGS) is developed to artificially increase the heat exchange area and further extract the deep geothermal energy with the connected natural fractures and hydraulic stimulated fracture network. The coupled Thermal-Hydrological-Mechanical (THM) processes largely control the heat recovery efficiency from HDR, and thus real 3D reservoir scale investigations that account for the multiphysics coupling mechanisms are needed to inform geothermal energy recovery from HDR.In this work, we built a three-dimensional THM model for the EGS of Qiabuqia HDR (Zhang et al. 2018, Gonghe Basin, China) by taking advantage of the novel simulation framework, GEOSX (Settgast et al. 2022). As a rapidly growing open-source multi-physics simulator, GEOSX has highly scalable algorithms for solving complex fluid flow, thermal, and geomechanical coupled systems. Preliminary geological data of the targetarea has been acquired by exploratory wells (e.g., GR1, GR2, DR3, DR4). There is also a trial production well GH-01. In our model, we considered a dual-well utilization system. Our 3D model focuses on reservoir-scale THM coupling, and takes into consideration the geostress directions in configuring the faults and (hydraulic)fractures, which are explicitly handled with EDFM (Embedded Discrete Fracture Model) method. The simulated results of heat recovery efficiency under different production scenarios provide guidance information for engineering practices.
He L, Liu W, Li Y, Wang J, Kuwata M, Liu YJ. Wall loss of semi-volatile organic compounds in a Teflon bag chamber for the temperature range of 262–298 K: mechanistic insight on temperature dependence. Atmospheric Measurement Techniques [Internet]. 2024;17(2):755–764. 访问链接Abstract
Teflon bag chambers have long been used for investigating atmospheric chemical processes, including secondary organic aerosol formation. The wall-loss process of gas-phase species in Teflon bag chambers has typically been investigated at around room temperature. Recent laboratory studies started employing Teflon bag chambers at sub-273 K conditions for simulating wintertime and upper-tropospheric environments. However, temperature dependence in vapor-wall-loss processes of semi-volatile organic compounds (SVOCs) in a Teflon bag chamber has not been well investigated. In this study, we experimentally investigated wall-loss processes of C14–C19 n-alkanes in a 1 m3 Teflon bag for the temperature range of 262 to 298 K. Enhanced wall losses of the tested n-alkanes were observed following the decrease in temperature. For instance, 65 %​​​​​​​ of C14 n-alkane was lost to the wall 15 h after injection at room temperature, while the corresponding value was 95 % at 262 K. The experimental data were analyzed using a two-layer kinetic model, which considers both absorption of gas-phase species to the surface layer of the Teflon wall and diffusion to the inner layer. The experimental data demonstrated that absorption of gas-phase species by the surface layer was enhanced at lower temperatures. The temperature dependence in absorption was well accounted for using the equilibrium-dissolution model of organic compounds to the Teflon surface by considering reduced saturation vapor pressure at lower temperatures. On the contrary, diffusion of n-alkanes from the surface to the inner layer slowed down at reduced temperatures. Mechanistic studies on these processes will need to be conducted in the future to quantitatively predict the influence of temperature-dependent wall-loss processes of SVOCs on laboratory experimental results.
Huang C, Tian L, Wang J, Jiang L, Zhang K. Water-CO2 wettability on sandstone surface with asphaltene adsorption: Molecular dynamics simulation. Fuel [Internet]. 2024;360:130558. 访问链接Abstract
The reactions between CO2 slugs and crude oil induce a substantial amount of asphaltene precipitation and adsorption on the rock surface during the CO2 alternative water flooding process. When the subsequent water slug passes through the core pores after asphaltene adsorption, it will displace the previous CO2 slug. The wettability of water and CO2 on the asphaltene-adsorbed rock surface will directly determine the magnitude and direction of the capillary force of the two media, which in turn affects their flow resistance and flow pattern analysis. In this paper, the systems of CO2/water/sandstone and CO2/water/asphaltene adsorption sandstone were established by molecular dynamics simulation technology. The effects of asphaltene adsorption, thickness of the asphaltene adsorption layer, CO2 density, mass fraction and type of salt in water on the wettability of water on sandstone surfaces were studied. The results reveal that asphaltene adsorption significantly reduces the wettability of water on the original powerful water-wetting sandstone surface, making it easier to see how CO2 density affects the wettability of water on the asphaltene-adsorbed sandstone surface. The increased CO2 density will continue to lower the wettability of water on the asphaltene-adsorbed sandstone surface, even causing it to become wet with CO2. The adsorption thickness of asphaltene does not affect the wettability of water and CO2 on the asphaltene-adsorbed sandstone surface, and just a layer of 5A-thick asphaltene adsorption can significantly reduce the wettability of water on sandstone surfaces. Furthermore, a rise in salinity in water has a detrimental impact on the wettability of water on the asphaltene-adsorbed sandstone surface, with divalent salts having a stronger negative effect than monovalent salts.

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