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Lee JD, Miller JB, Shneidman AV, Sun L, Weaver JF, Aizenberg J, Biener J, Boscoboinik JA, Foucher AC, Frenkel AI, van der Hoeven JES, Kozinsky B, Marcella N, Montemore MM, Ngan HT, O'Connor CR, Owen CJ, Stacchiola DJ, Stach EA, Madix RJ, Sautet P, Friend CM. Dilute Alloys Based on Au, Ag, or Cu for Efficient Catalysis: From Synthesis to Active Sites. Chem Rev 2022; 122:8758-8808. [PMID: 35254051 DOI: 10.1021/acs.chemrev.1c00967] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The development of new catalyst materials for energy-efficient chemical synthesis is critical as over 80% of industrial processes rely on catalysts, with many of the most energy-intensive processes specifically using heterogeneous catalysis. Catalytic performance is a complex interplay of phenomena involving temperature, pressure, gas composition, surface composition, and structure over multiple length and time scales. In response to this complexity, the integrated approach to heterogeneous dilute alloy catalysis reviewed here brings together materials synthesis, mechanistic surface chemistry, reaction kinetics, in situ and operando characterization, and theoretical calculations in a coordinated effort to develop design principles to predict and improve catalytic selectivity. Dilute alloy catalysts─in which isolated atoms or small ensembles of the minority metal on the host metal lead to enhanced reactivity while retaining selectivity─are particularly promising as selective catalysts. Several dilute alloy materials using Au, Ag, and Cu as the majority host element, including more recently introduced support-free nanoporous metals and oxide-supported nanoparticle "raspberry colloid templated (RCT)" materials, are reviewed for selective oxidation and hydrogenation reactions. Progress in understanding how such dilute alloy catalysts can be used to enhance selectivity of key synthetic reactions is reviewed, including quantitative scaling from model studies to catalytic conditions. The dynamic evolution of catalyst structure and composition studied in surface science and catalytic conditions and their relationship to catalytic function are also discussed, followed by advanced characterization and theoretical modeling that have been developed to determine the distribution of minority metal atoms at or near the surface. The integrated approach demonstrates the success of bridging the divide between fundamental knowledge and design of catalytic processes in complex catalytic systems, which can accelerate the development of new and efficient catalytic processes.
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Affiliation(s)
- Jennifer D Lee
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Jeffrey B Miller
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Anna V Shneidman
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Lixin Sun
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Jason F Weaver
- Department of Chemical Engineering, University of Florida, Gainesville, Florida 32611, United States
| | - Joanna Aizenberg
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.,John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Juergen Biener
- Nanoscale Synthesis and Characterization Laboratory, Lawrence Livermore National Laboratory, Livermore, California 94550, United States
| | - J Anibal Boscoboinik
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Alexandre C Foucher
- Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Anatoly I Frenkel
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States.,Division of Chemistry, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Jessi E S van der Hoeven
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.,John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Boris Kozinsky
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Nicholas Marcella
- Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, United States
| | - Matthew M Montemore
- Department of Chemical and Biomolecular Engineering, Tulane University, New Orleans, Louisiana 70118, United States
| | - Hio Tong Ngan
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Christopher R O'Connor
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Cameron J Owen
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.,John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Dario J Stacchiola
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - Eric A Stach
- Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Robert J Madix
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Philippe Sautet
- Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States.,Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Cynthia M Friend
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.,John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
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Montessori A, Tiribocchi A, Bogdan M, Bonaccorso F, Lauricella M, Guzowski J, Succi S. Translocation Dynamics of High-Internal Phase Double Emulsions in Narrow Channels. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2021; 37:9026-9033. [PMID: 34291636 PMCID: PMC8503876 DOI: 10.1021/acs.langmuir.1c01026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/18/2021] [Indexed: 06/13/2023]
Abstract
We numerically study the translocation dynamics of double emulsion drops with multiple close-packed inner droplets within constrictions. Such liquid architectures, which we refer to as HIPdEs (high-internal phase double emulsions), consist of a ternary fluid, in which monodisperse droplets are encapsulated within a larger drop in turn immersed in a bulk fluid. Extensive two-dimensional lattice Boltzmann simulations show that if the area fraction of the internal drops is close to the packing fraction limit of hard spheres and the height of the channel is much smaller than the typical size of the emulsion, the crossing yields permanent shape deformations persistent over long periods of time. Morphological changes and rheological response are quantitatively assessed in terms of the structure of the velocity field, circularity of the emulsion, and rate of energy dissipated by viscous forces. Our results may be used to improve the design of soft mesoscale porous materials, which employ HIPdEs as templates for tissue engineering applications.
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Affiliation(s)
- Andrea Montessori
- Istituto
per le Applicazioni del Calcolo CNR, Via dei Taurini 19, Rome 00185, Italy
| | - Adriano Tiribocchi
- Istituto
per le Applicazioni del Calcolo CNR, Via dei Taurini 19, Rome 00185, Italy
- Center
for Life Nanoscience at la Sapienza, Istituto
Italiano di Tecnologia, Viale Regina Elena 295, Rome 00161, Italy
| | - Michał Bogdan
- Institute
of Physical Chemistry, Polish Academy of
Sciences, Kasprzaka 44/52, Warsaw 01-224, Poland
| | - Fabio Bonaccorso
- Istituto
per le Applicazioni del Calcolo CNR, Via dei Taurini 19, Rome 00185, Italy
- Center
for Life Nanoscience at la Sapienza, Istituto
Italiano di Tecnologia, Viale Regina Elena 295, Rome 00161, Italy
- Dipartimento
di Fisica, Università degli Studi
di Roma “Tor Vergata”, Via della Ricerca Scientifica 1, Rome 00133, Italy
| | - Marco Lauricella
- Istituto
per le Applicazioni del Calcolo CNR, Via dei Taurini 19, Rome 00185, Italy
| | - Jan Guzowski
- Institute
of Physical Chemistry, Polish Academy of
Sciences, Kasprzaka 44/52, Warsaw 01-224, Poland
| | - Sauro Succi
- Istituto
per le Applicazioni del Calcolo CNR, Via dei Taurini 19, Rome 00185, Italy
- Center
for Life Nanoscience at la Sapienza, Istituto
Italiano di Tecnologia, Viale Regina Elena 295, Rome 00161, Italy
- Institute
for Applied Computational Science, Harvard
John A. Paulson School of Engineering and Applied Sciences, Cambridge, Massachusetts 02138, United States
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Montessori A, Tiribocchi A, Lauricella M, Bonaccorso F, Succi S. Mesoscale modelling of droplets' self-assembly in microfluidic channels. SOFT MATTER 2021; 17:2374-2383. [PMID: 33592086 DOI: 10.1039/d0sm02047h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
A recently proposed mesoscale approach for the simulation of multicomponent flows with near-contact interactions is employed to investigate the early stage formation and clustering statistics of soft flowing crystals in microfluidic channels. Specifically, we first demonstrate the ability of the aforementioned mesoscale model to accurately reproduce main mechanisms leading to the formation of two basic droplet patterns (triangular and hexagonal), in close agreement with experimental evidence. Next, we quantitatively evaluate the device-scale clustering efficiency of the crystal formation process by introducing a new orientational order parameter, based on the Delaunay triangulation and Voronoi diagrams analysis of the droplet patterns. The mesoscale computational approach employed in this work proves to be an efficient tool to shed new light on the complex dynamics of dense emulsions, from short-scale thin-film hydrodynamics, all the way up to global structure formation and statistics of the resulting droplets ensembles.
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Affiliation(s)
- Andrea Montessori
- Istituto per le Applicazioni del Calcolo CNR, via dei Taurini 19, 00185, Rome, Italy.
| | - Adriano Tiribocchi
- Istituto per le Applicazioni del Calcolo CNR, via dei Taurini 19, 00185, Rome, Italy. and Center for Life Nanoscience at la Sapienza, Istituto Italiano di Tecnologia, viale Regina Elena 295, 00161, Rome, Italy
| | - Marco Lauricella
- Istituto per le Applicazioni del Calcolo CNR, via dei Taurini 19, 00185, Rome, Italy.
| | - Fabio Bonaccorso
- Istituto per le Applicazioni del Calcolo CNR, via dei Taurini 19, 00185, Rome, Italy. and Center for Life Nanoscience at la Sapienza, Istituto Italiano di Tecnologia, viale Regina Elena 295, 00161, Rome, Italy and Dept. Physics and INFN, University of Rome "Tor Vergata", Italy
| | - Sauro Succi
- Istituto per le Applicazioni del Calcolo CNR, via dei Taurini 19, 00185, Rome, Italy. and Center for Life Nanoscience at la Sapienza, Istituto Italiano di Tecnologia, viale Regina Elena 295, 00161, Rome, Italy and Institute for Applied Computational Science, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, MA 02138, USA
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9
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Ma N, Duan Z, Ma H, Su L, Liang P, Ning X, He B, Zhang X. Lattice Boltzmann Simulation of the Hydrodynamic Entrance Region of Rectangular Microchannels in the Slip Regime. MICROMACHINES 2018; 9:E87. [PMID: 30393363 PMCID: PMC6187285 DOI: 10.3390/mi9020087] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 01/31/2018] [Accepted: 02/13/2018] [Indexed: 11/16/2022]
Abstract
Developing a three-dimensional laminar flow in the entrance region of rectangular microchannels has been investigated in this paper. When the hydrodynamic development length is the same magnitude as the microchannel length, entrance effects have to be taken into account, especially in relatively short ducts. Simultaneously, there are a variety of non-continuum or rarefaction effects, such as velocity slip and temperature jump. The available data in the literature appearing on this issue is quite limited, the available study is the semi-theoretical approximate model to predict pressure drop of developing slip flow in rectangular microchannels with different aspect ratios. In this paper, we apply the lattice Boltzmann equation method (LBE) to investigate the developing slip flow through a rectangular microchannel. The effects of the Reynolds number (1 < Re < 1000), channel aspect ratio (0 < ε < 1), and Knudsen number (0.001 < Kn < 0.1) on the dimensionless hydrodynamic entrance length, and the apparent friction factor, and Reynolds number product, are examined in detail. The numerical solution of LBM can recover excellent agreement with the available data in the literature, which proves its accuracy in capturing fundamental fluid characteristics in the slip-flow regime.
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Affiliation(s)
- Niya Ma
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Zhipeng Duan
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Hao Ma
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Liangbin Su
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Peng Liang
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Xiaoru Ning
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Boshu He
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
| | - Xin Zhang
- School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China.
- Beijing Key Laboratory of Powertrain for New Energy Vehicle, Beijing Jiaotong University, Beijing 100044, China.
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