Search Results - "Liu, A Y"

A hybrid science‐guided machine learning approach for modeling chemical processes: A review by Sharma, Niket, Liu, Y. A.

“…This study presents a broad perspective of hybrid process modeling combining the scientific knowledge and data analytics in bioprocessing and chemical…”
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A dynamic AES cryptosystem based on memristive neural network by Liu, Y. A., Chen, L., Li, X. W., Liu, Y. L., Hu, S. G., Yu, Q., Chen, T. P., Liu, Y.

“…This paper proposes an advanced encryption standard (AES) cryptosystem based on memristive neural network. A memristive chaotic neural network is constructed…”
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Integrated Process Modeling and Product Design of Biodiesel Manufacturing by Chang, Ai-Fu, Liu, Y. A

“…Biodiesel, i.e., a mixture of fatty acid methyl esters (FAMEs), produced from reacting triglyceride with methanol by alkali-catalyzed transesterification, has…”
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Alternative Characteristic Mode Solvers for Metallic-Dielectric Composite Structures by Guo, X.-Y., Lian, R.-Z., Yao, H.-M., Liu, Y.-A., Xia, M.-Y.

“…Characteristic mode (CM) theory has become a valuable tool in the design of antennas and analysis of scattering. Well-content CM solvers that are immune to…”
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Nonequilibrium "melting" of a charge density wave insulator via an ultrafast laser pulse by Shen, Wen, Ge, Yizhi, Liu, A Y, Krishnamurthy, H R, Devereaux, T P, Freericks, J K

“…We employ an exact solution of the simplest model for pump-probe time-resolved photoemission spectroscopy in charge-density-wave systems to show how, in…”
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Maturation of mast cell progenitors to mucosal mast cells during allergic pulmonary inflammation in mice by Bankova, L G, Dwyer, D F, Liu, A Y, Austen, K F, Gurish, M F

“…In contrast to resident constitutive mast cells (CMCs), mucosal MCs (MMCs) appear in the lung and trachea of sensitized mice only following inhalation…”
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3‐D imaging, illustration, and quantitation of enteric glial network in transparent human colon mucosa by Liu, Y. A., Chung, Y. C., Pan, S. T., Shen, M. Y., Hou, Y. C., Peng, S. J., Pasricha, P. J., Tang, S. C.

“…Background Enteric glia form a network in the intestinal mucosa and have been suggested to engage in multidirectional interactions with the epithelium, blood…”
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Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation Systems from Plant Data. Part 2: Fluid Catalytic Cracking (FCC) Process by Pashikanti, Kiran, Liu, Y. A

“…This work presents the methodology to develop, validate, and apply a predictive model for an integrated fluid catalytic cracking (FCC) process. We demonstrate…”
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Calculation of Projected Bond-Orientational Order Parameters to Quantify Local Symmetries from Transmission Diffraction Data by Liu, A C Y, Tabor, R F, Bourgeois, L, de Jonge, M D, Mudie, S T, Petersen, T C

“…The bond-orientational order parameters introduced by Steinhardt et al. [Phys. Rev. B 28, 784 (1983)] have been an invaluable measurement tool for assessing…”
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Outcomes and complications after percutaneous release for trigger digits in diabetic and non-diabetic patients by Huang, H.-K., Wang, J.-P., Wang, S.-T., Liu, Y.-A., Huang, Y.-C., Liu, C.-L.

“…We compared the short-term (3 months) and long-term (2 years) outcomes and complications of percutaneous release of 187 trigger digits of 154 patients treated…”
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Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation Systems from Plant Data. Part 3: Continuous Catalyst Regeneration (CCR) Reforming Process by Pashikanti, Kiran, Liu, Y. A

“…This work presents a model for the rating and optimization of an integrated catalytic reforming process with UOP-style continuous catalyst regeneration (CCR)…”
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A versatile neuromorphic system based on simple neuron model by Zhang, C. M., Qiao, G. C., Hu, S. G., Wang, J. J., Liu, Z. W., Liu, Y. A., Yu, Q., Liu, Y.

“…Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected…”
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Optical clearing improves the imaging depth and signal‐to‐noise ratio for digital analysis and three‐dimensional projection of the human enteric nervous system by Liu, Y.‐A., Chen, Y., Chiang, A.‐S., Peng, S.‐J., Pasricha, P. J., Tang, S.‐C.

“…Background  Due to the dispersed nature of neurites and fibers, the microtome‐based 2‐dimensional histology provides only a limited perspective of the enteric…”
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Helping our patients take HIV pre‐exposure prophylaxis (PrEP): a systematic review of adherence interventions by Marcus, JL, Buisker, T, Horvath, T, Amico, KR, Fuchs, JD, Buchbinder, SP, Grant, RM, Liu, AY

“…Objectives Adherence is critical for maximizing the effectiveness of pre‐exposure prophylaxis (PrEP) in preventing HIV infection. Strategies for promoting…”
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Impurity gettering effect of atomic layer deposited aluminium oxide films on silicon wafers by Liu, A. Y., Macdonald, D.

“…We present experimental evidence for the impurity gettering effect of atomic layer deposited aluminium oxide (Al2O3) films on silicon wafers, during typical…”
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Predictive Modeling of Large-Scale Integrated Refinery Reaction and Fractionation Systems from Plant Data. Part 1: Hydrocracking Processes by Chang, Ai-Fu, Liu, Y. A

“…This paper presents a workflow to develop, validate, and apply a predictive model for rating and optimization of large-scale integrated refinery reaction and…”
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110th Anniversary: An Effective Methodology for Kinetic Parameter Estimation for Modeling Commercial Polyolefin Processes from Plant Data Using Efficient Simulation Software Tools by Sharma, Niket, Liu, Y. A

“…Polyolefins are one of the most widely used commodity polymers with applications in films, packaging, and the automotive industry. The modeling of…”
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Theoretical description of time-resolved pump/probe photoemission in TaS2: a single-band DFT+DMFT(NRG) study within the quasiequilibrium approximation by Freericks, J. K., Krishnamurthy, H. R., Ge, Yizhi, Liu, A. Y., Pruschke, Th

“…In this work, we theoretically examine recent pump/probe photoemission experiments on the strongly correlated charge‐density‐wave insulator TaS2.We describe…”
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110th Anniversary: Ensemble-Based Machine Learning for Industrial Fermenter Classification and Foaming Control by Agarwal, Aman, Liu, Y. A, McDowell, Christopher

“…In the industrial sector, foaming remains an inevitable side effect of mixing, shearing, powder incorporation, and the metabolic activities of microorganisms…”
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Large-Scale Industrial Fermenter Foaming Control: Automated Machine Learning for Antifoam Prediction and Defoaming Process Implementation by Agarwal, Aman, Liu, Y. A, Dooley, Luke, McDowell, Christopher, Thaysen, Mads

“…In industrial fermenters, antifoaming agents (AFA) are often added in a reactive manner to prevent foaming in a reactor. To successfully predict the antifoam…”
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