1
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Yan Q, Nie C, Cabanes VD, Guo FA, Du Y, Xia H, Wang H, Maurin G, Guo P, Wang S. Pore Engineering in Isoreticular Titanium-Isophthalate Coordination Polymers. Angew Chem Int Ed Engl 2025:e202503618. [PMID: 40256786 DOI: 10.1002/anie.202503618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2025] [Revised: 04/20/2025] [Accepted: 04/20/2025] [Indexed: 04/22/2025]
Abstract
Pore engineering through chemical environment modification is vital for developing industrial porous materials. Understanding the effects of substitutions in isoreticular porous coordination polymers-such as steric hindrance, vibrational capabilities, electronic influences, and hydropathy-is key to elucidating structure-property relationships. However, accurately assessing the impact of functional groups on properties remains challenging due to limitations in current methodologies. In this study, we designed a series of titanium-isophthalate coordination-polymers with various functional groups to regulate pore characteristics and structural dimensionality. The unique spatial arrangement and electronic distribution of isophthalate and its functional groups provide an ideal platform to address these challenges. We conducted extensive investigations combining experimental methods with computational simulations to explore how pore engineering affects adsorptive separation and photoresponsive behavior in these compounds. Our findings not only tackle the synthesis challenge of isostructural titanium-coordination polymers but also offer new insights into understanding structure-property relationships achieved through modulation of their chemical environments.
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Affiliation(s)
- Qingqing Yan
- Laboratory of Spin Magnetic Resonance, Suzhou Institute for Advanced Research, Hefei National Laboratory, University of Science and Technology of China, Hefei, 230026, China
| | - Chenyang Nie
- National Engineering Research Center of Lower-Carbon Catalysis Technology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
- University of Chinese Academy of Science, Beijing, 100049, China
| | | | - Fu-An Guo
- Hoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, 518055, China
| | - Yafei Du
- Laboratory of Spin Magnetic Resonance, Suzhou Institute for Advanced Research, Hefei National Laboratory, University of Science and Technology of China, Hefei, 230026, China
| | - Hailun Xia
- Hoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, 518055, China
| | - Hao Wang
- Hoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, Shenzhen, 518055, China
| | - Guillaume Maurin
- ICGM, University of Montpellier, CNRS, ENSCM, Montpellier, France
- Institut Universitaire de France (IUF), Paris, France
| | - Peng Guo
- National Engineering Research Center of Lower-Carbon Catalysis Technology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
- University of Chinese Academy of Science, Beijing, 100049, China
| | - Sujing Wang
- Laboratory of Spin Magnetic Resonance, Suzhou Institute for Advanced Research, Hefei National Laboratory, University of Science and Technology of China, Hefei, 230026, China
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2
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Han X, Chen Y, Li J, Lu W, Huang W, Wang Y, Wang G, da Silva I, Cheng Y, Daemen LL, Manuel P, Ramirez-Cuesta AJ, Lee D, Yang S, Schröder M. MFM-300 as High-Performance Sorbents for Water-Adsorption-Driven Cooling. J Am Chem Soc 2025; 147:12481-12490. [PMID: 40196995 PMCID: PMC12006999 DOI: 10.1021/jacs.4c16752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Revised: 03/14/2025] [Accepted: 03/17/2025] [Indexed: 04/09/2025]
Abstract
Adsorption-driven heat transfer is potentially a sustainable technology to decarbonize heating and cooling. However, the development of high-performance adsorbent-adsorbate working pairs remains extremely challenging. Here, we report a metal-organic framework/water working pair that can operate at an ultralow driving temperature (62 °C), showing a high coefficient of performance (COP) of 0.8 for cooling. The desirable features of MFM-300(M) (M = Al, Fe, Cr, V) for water adsorption have been elucidated by combined crystallographic and spectroscopic techniques. In situ neutron powder diffraction reveals the structural evolution of the MFM-300-D2O system via direct observation of the location of D2O at different stages of adsorption. Host-guest binding dynamics have been interrogated by in situ solid-state nuclear magnetic resonance spectroscopy and inelastic neutron scattering combined with modeling. This system promotes the use of renewable low-grade thermal energy rather than electricity to drive cooling.
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Affiliation(s)
- Xue Han
- College
of Chemistry, Beijing Normal University, Beijing 100091, China
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
| | - Yinlin Chen
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
| | - Jiangnan Li
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
- College
of Chemistry and Molecular Engineering, Beijing National Laboratory
for Molecular Sciences, Peking University, Beijing 100871, China
| | - Wanpeng Lu
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
| | - Wenyuan Huang
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
- College
of Chemistry and Molecular Engineering, Beijing National Laboratory
for Molecular Sciences, Peking University, Beijing 100871, China
| | - Yuanjun Wang
- College
of Chemistry, Beijing Normal University, Beijing 100091, China
| | - Guixiang Wang
- College
of Chemistry, Beijing Normal University, Beijing 100091, China
| | - Ivan da Silva
- ISIS
Facility, Rutherford Appleton Laboratory, Chilton OX11 0QX, U.K.
| | - Yongqiang Cheng
- Neutron
Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Luke L. Daemen
- Neutron
Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Pascal Manuel
- ISIS
Facility, Rutherford Appleton Laboratory, Chilton OX11 0QX, U.K.
| | - Anibal J. Ramirez-Cuesta
- Neutron
Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Daniel Lee
- Department
of Chemical Engineering, University of Manchester, Manchester M13 9PL, U.K.
| | - Sihai Yang
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
- College
of Chemistry and Molecular Engineering, Beijing National Laboratory
for Molecular Sciences, Peking University, Beijing 100871, China
| | - Martin Schröder
- Department
of Chemistry, University of Manchester, Manchester M13 9PL, U.K.
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3
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Goeminne R, Van Speybroeck V. Ab Initio Predictions of Adsorption in Flexible Metal-Organic Frameworks for Water Harvesting Applications. J Am Chem Soc 2025; 147:3615-3630. [PMID: 39818949 PMCID: PMC11783526 DOI: 10.1021/jacs.4c15287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2024] [Revised: 12/30/2024] [Accepted: 12/31/2024] [Indexed: 01/19/2025]
Abstract
Metal-organic frameworks such as MOF-303 and MOF-LA2-1 have demonstrated exceptional performance for water harvesting applications. To enable a reticular design of such materials, an accurate prediction of the adsorption properties with chemical accuracy and fully accounting for the flexibility is crucial. The computational prediction of water adsorption properties in MOFs has become standard practice, but current methods lack the predictive power needed to design new materials. Limitations stem from the way the interatomic potential is described and the inadequate consideration of the framework flexibility. Herein, we showcase a methodology to obtain chemically accurate adsorption isotherms that fully account for framework flexibility. The method relies on very accurate and efficiently trained machine learning potentials and transition matrix Monte Carlo simulations to account for framework flexibility. For MOF-303, quantitatively accurate adsorption isotherms are obtained, provided an accurately benchmarked electronic structure method is used to train the machine learning potential, and local and global framework flexibility is accounted for. The broader applicability is shown through the study of MOF-333 and MOF-LA2-1. Analysis of the water density profiles in the MOFs gives insight into the factors governing the shape and origin of the isotherm. An optimal water harvester should have initial seeding sites with intermediate adsorption strength to prevent detrimental low-pressure water uptake. To increase the working capacity, linker extension strategies can be used while maintaining the initial seeding sites, as was done in MOF-LA2-1. The methodology can be applied to other guest molecules and MOFs, enabling the future design of MOFs with specific adsorption properties.
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Affiliation(s)
- Ruben Goeminne
- Center for Molecular Modeling
Ghent University Tech Lane Ghent Science Park Campus A, 9052 Zwijnaarde, Belgium
| | - Veronique Van Speybroeck
- Center for Molecular Modeling
Ghent University Tech Lane Ghent Science Park Campus A, 9052 Zwijnaarde, Belgium
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4
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Han X, Wu P, Huang W, Fu G, Zhang S, Li Y, Wang L, Xu M, Huai X. Design of Mixed-Metal MOF-74-MgNi for Water Adsorption-Driven Solar Thermal Energy Storage and Heat Transformation Applications. Inorg Chem 2024; 63:17993-18004. [PMID: 39279147 DOI: 10.1021/acs.inorgchem.4c02528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
Adsorption solar thermal energy storage and heat transformation are ecologically benign and energy-efficient technologies. Efficient adsorbents are the key to this technology. In this paper, two metal ions, Mg2+ and Ni2+, were introduced into the metal-organic framework MOF-74. The synthesis conditions were adjusted to obtain MOF-74 with a high water adsorption capacity and stability. The results show that MOF-74-MgNi-2 has the maximum water adsorption capacity. At a low moisture pressure P/P0 = 0.1, its water adsorption capacity is 0.44 g/g, 0.12 g/g, and 0.10 g/g greater than that of MOF-74-Mg and MOF-74-Ni, respectively. Its saturated water adsorption capacity at P/P0 = 0.9 is as high as 0.62 g/g, which is 1.3 times that of MOF-74-Ni and 1.1 times that of MOF-74-Mg, respectively. Its superior water adsorption capacity is explained by the combination of experiment and molecular simulation, which takes into account the pore structure and electrostatic potential energy distribution. Its thermal breakdown temperature is greater than 250 °C. Its water adsorption capacity decreases by only 9.0% in the 10th cycle. Under conventional refrigeration conditions, its refrigeration coefficient and working capacity are 0.75 and 0.43 cm3/cm3, respectively, which are greater than those of the majority of the regularly used adsorbents. In addition, it satisfies the primary technological goals of adsorption-based thermal batteries with a heat storage capacity of up to 1394 kJ/kg. The mixed-metal method is shown to be useful in the design of high-performance MOF-74 for solar thermal energy storage and heat transformation.
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Affiliation(s)
- Xiaoli Han
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Ping Wu
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Wenyi Huang
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Guodong Fu
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Shiping Zhang
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Yanan Li
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China
| | - Li Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Min Xu
- Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
| | - Xiulan Huai
- Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China
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5
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Oppenheim JJ, Dincǎ M. Isoreticular Curves: A Theory of Capillary Condensation To Model Water Sorption within Microporous Sorbents. J Am Chem Soc 2024. [PMID: 39038174 DOI: 10.1021/jacs.4c02743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Metal-organic frameworks have gained traction as leading materials for water sorption applications due to precise chemical tunability of their well-ordered pores. These applications include atmospheric water capture, heat pumps, desiccation, desalination, humidity control, and thermal batteries. However, the relationships between the framework pore structure and the measurable water sorption properties, namely critical relative humidity for condensation, maximal capacity, and pore size or temperature for the onset of hysteresis, have not been clearly delineated. Herein, we precisely formulate these relationships by application of the theory of capillary condensation and macroscopic thermodynamic models to a large data set of MOF water isotherms. These relationships include a concept termed isoreticular curves that relates the critical pressure for pore condensation (α), gravimetric capacity (Qmax), and hydrophilicity (the Gibbs free energy for binding water, ΔG) as Qmax = a1(ΔG/ln α)2 + a2(ΔG/ln α), with constants a1 and a2 dependent upon the density and volume occupied by the linker and secondary building unit, and framework topology. Through this analysis, we propose guidelines for the maximization of sorption capacity at a given relative humidity with minimal hysteresis and discuss the theoretical limits for capacity at low relative humidity. This model provides an explanation for the lack of high-capacity frameworks at low relative humidity, as increasing pore size also causes an increase in relative humidity. We propose a loose upper bound of Qmax = -0.25(1/ln α)2 - 1.75(1/ln α) for the limit of maximal capacity at a given relative humidity in the dry regime. These guidelines are consequential for the design of new materials for water sorption applications.
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Affiliation(s)
- Julius J Oppenheim
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
| | - Mircea Dincǎ
- Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States
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6
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Shen J, Kumar A, Wahiduzzaman M, Barpaga D, Maurin G, Motkuri RK. Engineered Nanoporous Frameworks for Adsorption Cooling Applications. Chem Rev 2024; 124:7619-7673. [PMID: 38683669 DOI: 10.1021/acs.chemrev.3c00450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
The energy demand for traditional vapor-compressed technology for space cooling continues to soar year after year due to global warming and the increasing human population's need to improve living and working conditions. Thus, there is a growing demand for eco-friendly technologies that use sustainable or waste energy resources. This review discusses the properties of various refrigerants used for adsorption cooling applications followed by a brief discussion on the thermodynamic cycle. Next, sorbents traditionally used for cooling are reviewed to emphasize the need for advanced capture materials with superior properties to improve refrigerant sorption. The remainder of the review focus on studies using engineered nanoporous frameworks (ENFs) with various refrigerants for adsorption cooling applications. The effects of the various factors that play a role in ENF-refrigerant pair selection, including pore structure/dimension/shape, morphology, open-metal sites, pore chemistry and possible presence of defects, are reviewed. Next, in-depth insights into the sorbent-refrigerant interaction, and pore filling mechanism gained through a combination of characterization techniques and computational modeling are discussed. Finally, we outline the challenges and opportunities related to using ENFs for adsorption cooling applications and provide our views on the future of this technology.
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Affiliation(s)
- Jian Shen
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- College of Environment and Resources, Xiangtan University, Xiangtan 411105, P.R. China
| | - Abhishek Kumar
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | | | - Dushyant Barpaga
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Guillaume Maurin
- ICGM, University of Montpellier, CNRS, ENSCM, 34293 Montpellier, France
| | - Radha Kishan Motkuri
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
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7
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Jeong SM, Kim D, Park JY, Yoon JW, Lee SK, Lee JS, Jo D, Cho KH, Lee UH. Separation of High-Purity C 2H 2 from Binary C 2H 2/CO 2 Using Robust Al-Based MOFs Comprising Nitrogen-Containing Heterocyclic Dicarboxylate. ACS APPLIED MATERIALS & INTERFACES 2024; 16:1342-1350. [PMID: 38116929 DOI: 10.1021/acsami.3c16849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
In this study, three nitrogen-containing aluminum-based metal-organic frameworks (Al-MOFs), namely, CAU-10pydc, MOF-303, and KMF-1, were investigated for the efficient separation of a C2H2/CO2 gas mixture. Among these three Al-MOFs, KMF-1 demonstrated the highest selectivity for C2H2/CO2 separation (6.31), primarily owing to its superior C2H2 uptake (7.90 mmol g-1) and lower CO2 uptake (2.82 mmol g-1) compared to that of the other two Al-MOFs. Dynamic breakthrough experiments, using an equimolar binary C2H2/CO2 gas mixture, demonstrated that KMF-1 achieved the highest separation performance. It yielded 3.42 mmol g-1 of high-purity C2H2 (>99.95%) through a straightforward desorption process under He purging at 298 K and 1 bar. To gain insights into the distinctive characteristics of the pore surfaces of structurally similar CAU-10pydc and KMF-1, we conducted computational simulations using canonical Monte Carlo and dispersion-corrected density functional theory methods. These simulations revealed that the secondary amine (C2N-H) groups in KMF-1 played a more significant role in differentiating between C2H2 and CO2 compared to that of the N atoms in CAU-10pydc and MOF-303. Consequently, KMF-1 emerged as a promising adsorbent for the separation of high-purity C2H2 from binary C2H2/CO2 gas mixtures.
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Affiliation(s)
- Se-Min Jeong
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
- Department of Chemical and Biomolecular Engineering, Sogang University, Baekbeom-Ro 35, Mapo-gu, Seoul 04107, Republic of Korea
| | - Donghyun Kim
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
- Department of Chemical and Biomolecular Engineering, Yonsei University, Yonsei-Ro 50, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Ju Yeon Park
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
| | - Ji Woong Yoon
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
| | - Su-Kyung Lee
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
| | - Jong Suk Lee
- Department of Chemical and Biomolecular Engineering, Sogang University, Baekbeom-Ro 35, Mapo-gu, Seoul 04107, Republic of Korea
| | - Donghui Jo
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
| | - Kyung Ho Cho
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
| | - U-Hwang Lee
- Chemical & Process Technology Division, Korea Research Institute of Chemical Technology (KRICT), Gajeong-Ro 141, Yuseong-gu, Daejeon 34114, Republic of Korea
- Department of Advanced Materials and Chemical Engineering, University of Science and Technology (UST), Gajeong-Ro 217, Yuseong-gu, Daejeon 34113, Republic of Korea
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8
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Zheng Z, Alawadhi AH, Chheda S, Neumann SE, Rampal N, Liu S, Nguyen HL, Lin YH, Rong Z, Siepmann JI, Gagliardi L, Anandkumar A, Borgs C, Chayes JT, Yaghi OM. Shaping the Water-Harvesting Behavior of Metal-Organic Frameworks Aided by Fine-Tuned GPT Models. J Am Chem Soc 2023; 145:28284-28295. [PMID: 38090755 DOI: 10.1021/jacs.3c12086] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
We construct a data set of metal-organic framework (MOF) linkers and employ a fine-tuned GPT assistant to propose MOF linker designs by mutating and modifying the existing linker structures. This strategy allows the GPT model to learn the intricate language of chemistry in molecular representations, thereby achieving an enhanced accuracy in generating linker structures compared with its base models. Aiming to highlight the significance of linker design strategies in advancing the discovery of water-harvesting MOFs, we conducted a systematic MOF variant expansion upon state-of-the-art MOF-303 utilizing a multidimensional approach that integrates linker extension with multivariate tuning strategies. We synthesized a series of isoreticular aluminum MOFs, termed Long-Arm MOFs (LAMOF-1 to LAMOF-10), featuring linkers that bear various combinations of heteroatoms in their five-membered ring moiety, replacing pyrazole with either thiophene, furan, or thiazole rings or a combination of two. Beyond their consistent and robust architecture, as demonstrated by permanent porosity and thermal stability, the LAMOF series offers a generalizable synthesis strategy. Importantly, these 10 LAMOFs establish new benchmarks for water uptake (up to 0.64 g g-1) and operational humidity ranges (between 13 and 53%), thereby expanding the diversity of water-harvesting MOFs.
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Affiliation(s)
- Zhiling Zheng
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
| | - Ali H Alawadhi
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
| | - Saumil Chheda
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
- Department of Chemical Engineering and Materials Science, Department of Chemistry, and Chemical Theory Center, University of Minnesota─Twin Cities, Minneapolis, Minnesota 55455, United States
| | - S Ephraim Neumann
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
| | - Nakul Rampal
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
| | - Shengchao Liu
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
| | - Ha L Nguyen
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
| | - Yen-Hsu Lin
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
| | - Zichao Rong
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
| | - J Ilja Siepmann
- Department of Chemical Engineering and Materials Science, Department of Chemistry, and Chemical Theory Center, University of Minnesota─Twin Cities, Minneapolis, Minnesota 55455, United States
| | - Laura Gagliardi
- Department of Chemistry, Pritzker School of Molecular Engineering, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, Illinois 60637, United States
| | - Anima Anandkumar
- Computing and Mathematical Sciences, California Institute of Technology, Pasadena, California 91125, United States
- NVIDIA Corporation, Santa Clara, California 95051, United States
| | - Christian Borgs
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
| | - Jennifer T Chayes
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Department of Mathematics, University of California, Berkeley, California 94720, United States
- Department of Statistics, University of California, Berkeley, California 94720, United States
- School of Information, University of California, Berkeley, California 94720, United States
| | - Omar M Yaghi
- Department of Chemistry, University of California, Berkeley, California 94720, United States
- Kavli Energy Nanoscience Institute, University of California, Berkeley, California 94720, United States
- Bakar Institute of Digital Materials for the Planet, College of Computing, Data Science, and Society, University of California, Berkeley, California 94720, United States
- KACST-UC Berkeley Center of Excellence for Nanomaterials for Clean Energy Applications, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia
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