2019-2020 Annual Report

Total Page:16

File Type:pdf, Size:1020Kb

2019-2020 Annual Report Institute for Computational and Experimental Research in Mathematics Annual Report May 11, 2019 – May 1, 2020 Brendan Hassett, Director Mathew Borton, IT Director Ruth Crane, Assistant Director Sigal Gottlieb, Deputy Director Elisenda Grigsby, Deputy Director (through Dec. 31, 2019) Jeffrey Hoffstein, Consulting Associate Director Caroline Klivans, Associate Director Jill Pipher, Consulting Director Emerita Kavita Ramanan, Deputy Director (as of Jan. 1, 2020) Bjorn Sandstede, Associate Director Homer Walker, Consulting Associate Director (through Dec. 31, 2019) Ulrica Wilson, Associate Director for Diversity and Outreach Table of Contents Mission ........................................................................................................................................... 5 Core Programs and Events ............................................................................................................ 5 Participant Summaries by Program Type ..................................................................................... 8 ICERM Funded Participants ................................................................................................................. 8 All Participants (ICERM funded and Non-ICERM funded) ............................................................. 9 ICERM Funded Speakers .................................................................................................................... 10 All Speakers (ICERM funded and Non-ICERM funded) ................................................................. 11 ICERM Funded Postdocs ..................................................................................................................... 12 All Postdocs (ICERM funded and Non-ICERM funded) ................................................................. 13 ICERM Funded Graduate Students ................................................................................................... 14 All Graduate Students (ICERM funded and Non-ICERM funded) ................................................ 15 Additional Participant Data ................................................................................................................. 16 Semester Program Length of Stay .......................................................................................................................16 Primary Field of Interest .....................................................................................................................................16 Position ................................................................................................................................................................17 Gender .................................................................................................................................................................17 US vs Foreign Based Participants .......................................................................................................................18 Ethnicity ..............................................................................................................................................................18 Semester Programs ...................................................................................................................... 19 Semester Program Process ................................................................................................................... 19 1. Solicitation of Proposals ..................................................................................................................................19 2. Proposal Selection ...........................................................................................................................................20 3. Selection of Long-term Visitors/Research Fellows ........................................................................................20 4. Offers to Research Fellows .............................................................................................................................20 5. Semester Workshops .......................................................................................................................................20 6. Application Process .........................................................................................................................................21 7. Applicant Selection .........................................................................................................................................21 Financial Decisions for Semester Programs ....................................................................................... 21 Opening, Closing, and Related Events ................................................................................................ 21 2019-2020 Semester Programs .................................................................................................... 23 Fall 2019 Semester Program: Illustrating Mathematics ................................................................... 23 Workshop 1: Program Opener: Meet, Make and Design ....................................................................................27 Workshop 2: IllUstrating Geometry and Topology .............................................................................................29 Workshop 3: CompUtational TeXtiles Working GroUp .......................................................................................35 Workshop 4: IllUstrating NUmber Theory and Algebra ......................................................................................38 Workshop 5: IllUstrating Dynamics and Probability ...........................................................................................42 Dissemination (broader impacts and pUblic engagement) ..................................................................................47 Spring 2020 Semester Program: Model and dimension reduction in uncertain and dynamic systems ................................................................................................................................................... 48 ICERM Annual Report 2019-2020 2 Impact of COVID-19 on Spring 2020 programming ..........................................................................................52 Workshop 1: Mathematics of RedUced Order Models ........................................................................................52 Workshop 2 (VIRTUAL): Algorithms for Dimension and CompleXity RedUction ...........................................58 Workshop 3 (VIRTUAL): CompUtational Statistics and Data-Driven Models ..................................................63 Topical Workshops ....................................................................................................................... 67 1. Solicitation of Topical Workshop Proposals ...................................................................................................67 2. Topical Workshop Selection ...........................................................................................................................68 3. Recommendation of Speakers .........................................................................................................................68 4. Invitations to Speakers ....................................................................................................................................68 5. Application Process .........................................................................................................................................68 6. Applicant Selection .........................................................................................................................................68 Financial Decisions for Topical Workshops ....................................................................................... 69 Topical Workshops in 2019-2020 ................................................................................................ 69 Topical Workshop 1: Encrypted Search ............................................................................................ 69 Topical Workshop 2: Mathematical Optimization of Systems Impacted by Rare, High-Impact Random Events ..................................................................................................................................... 71 Topical Workshop 3: Perspectives on Dehn Surgery ........................................................................ 75 Topical Workshop 4: Women in Symplectic and Contact Geometry and Topology workshop (WiSCon) ............................................................................................................................................... 81 Topical Workshop 5: Women in Data Science and Mathematics (WiSDM) 2019 ......................... 86 Topical Workshop 6: Applied Mathematical Modeling with Topological Techniques ................. 90 Topical Workshop 7: Numerical Methods and New Perspectives for Extended Liquid Crystalline Systems ................................................................................................................................................... 95 Collaborate@ICERM (C@I) ........................................................................................................ 99 Collaborate@ICERM Process ............................................................................................................. 99 1. Solicitation of Proposals
Recommended publications
  • Geometric Algebra for Vector Fields Analysis and Visualization: Mathematical Settings, Overview and Applications Chantal Oberson Ausoni, Pascal Frey
    Geometric algebra for vector fields analysis and visualization: mathematical settings, overview and applications Chantal Oberson Ausoni, Pascal Frey To cite this version: Chantal Oberson Ausoni, Pascal Frey. Geometric algebra for vector fields analysis and visualization: mathematical settings, overview and applications. 2014. hal-00920544v2 HAL Id: hal-00920544 https://hal.sorbonne-universite.fr/hal-00920544v2 Preprint submitted on 18 Sep 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Geometric algebra for vector field analysis and visualization: mathematical settings, overview and applications Chantal Oberson Ausoni and Pascal Frey Abstract The formal language of Clifford’s algebras is attracting an increasingly large community of mathematicians, physicists and software developers seduced by the conciseness and the efficiency of this compelling system of mathematics. This contribution will suggest how these concepts can be used to serve the purpose of scientific visualization and more specifically to reveal the general structure of complex vector fields. We will emphasize the elegance and the ubiquitous nature of the geometric algebra approach, as well as point out the computational issues at stake. 1 Introduction Nowadays, complex numerical simulations (e.g. in climate modelling, weather fore- cast, aeronautics, genomics, etc.) produce very large data sets, often several ter- abytes, that become almost impossible to process in a reasonable amount of time.
    [Show full text]
  • Exploring Physics with Geometric Algebra, Book II., , C December 2016 COPYRIGHT
    peeter joot [email protected] EXPLORINGPHYSICSWITHGEOMETRICALGEBRA,BOOKII. EXPLORINGPHYSICSWITHGEOMETRICALGEBRA,BOOKII. peeter joot [email protected] December 2016 – version v.1.3 Peeter Joot [email protected]: Exploring physics with Geometric Algebra, Book II., , c December 2016 COPYRIGHT Copyright c 2016 Peeter Joot All Rights Reserved This book may be reproduced and distributed in whole or in part, without fee, subject to the following conditions: • The copyright notice above and this permission notice must be preserved complete on all complete or partial copies. • Any translation or derived work must be approved by the author in writing before distri- bution. • If you distribute this work in part, instructions for obtaining the complete version of this document must be included, and a means for obtaining a complete version provided. • Small portions may be reproduced as illustrations for reviews or quotes in other works without this permission notice if proper citation is given. Exceptions to these rules may be granted for academic purposes: Write to the author and ask. Disclaimer: I confess to violating somebody’s copyright when I copied this copyright state- ment. v DOCUMENTVERSION Version 0.6465 Sources for this notes compilation can be found in the github repository https://github.com/peeterjoot/physicsplay The last commit (Dec/5/2016), associated with this pdf was 595cc0ba1748328b765c9dea0767b85311a26b3d vii Dedicated to: Aurora and Lance, my awesome kids, and Sofia, who not only tolerates and encourages my studies, but is also awesome enough to think that math is sexy. PREFACE This is an exploratory collection of notes containing worked examples of more advanced appli- cations of Geometric Algebra (GA), also known as Clifford Algebra.
    [Show full text]
  • Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
    Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients Yu Chen∗ Tom Diethe Neil Lawrence University of Bristol Amazon Amazon [email protected] [email protected] [email protected] Abstract Continual learning aims to enable machine learning models to learn a general solution space for past and future tasks in a sequential manner. Conventional models tend to forget the knowledge of previous tasks while learning a new task, a phenomenon known as catastrophic forgetting. When using Bayesian models in continual learning, knowledge from previous tasks can be retained in two ways: (i) posterior distributions over the parameters, containing the knowledge gained from inference in previous tasks, which then serve as the priors for the following task; (ii) coresets, containing knowledge of data distributions of previous tasks. Here, we show that Bayesian continual learning can be facilitated in terms of these two means through the use of natural gradients and Stein gradients respectively. 1 Background There are several existing approaches for preventing catastrophic forgetting of regular (non- Bayesian) Neural Networks (NNs) by constructing a regularization term from parameters of pre- vious tasks, such as Elastic Weight Consolidation (EWC) [1] and Synaptic Intelligence (SI) [2]. In the Bayesian setting, Variational Continual Learning (VCL) [3] proposes a framework that makes use of Variational Inference (VI). LVCL (θ) = Eqt(θ) [log p (Dtjθ)] − KL (qt(θ)kqt−1(θ)) : (1) The objective function is as in Equation (1), where t is the index of tasks, qt(θ) represents the approximated posterior of parameters θ of task t and Dt is the data of task t.
    [Show full text]
  • Jeffrey Hoffstein Jill Pipher Joseph H. Silverman
    Undergraduate Texts in Mathematics Je rey Ho stein Jill Pipher Joseph H. Silverman An Introduction to Mathematical Cryptography Second Edition Undergraduate Texts in Mathematics Undergraduate Texts in Mathematics Series Editors: Sheldon Axler San Francisco State University, San Francisco, CA, USA Kenneth Ribet University of California, Berkeley, CA, USA Advisory Board: Colin Adams, Williams College, Williamstown, MA, USA Alejandro Adem, University of British Columbia, Vancouver, BC, Canada Ruth Charney, Brandeis University, Waltham, MA, USA Irene M. Gamba, The University of Texas at Austin, Austin, TX, USA Roger E. Howe, Yale University, New Haven, CT, USA David Jerison, Massachusetts Institute of Technology, Cambridge, MA, USA Jeffrey C. Lagarias, University of Michigan, Ann Arbor, MI, USA Jill Pipher, Brown University, Providence, RI, USA Fadil Santosa, University of Minnesota, Minneapolis, MN, USA Amie Wilkinson, University of Chicago, Chicago, IL, USA Undergraduate Texts in Mathematics are generally aimed at third- and fourth- year undergraduate mathematics students at North American universities. These texts strive to provide students and teachers with new perspectives and novel approaches. The books include motivation that guides the reader to an appreciation of interre- lations among different aspects of the subject. They feature examples that illustrate key concepts as well as exercises that strengthen understanding. More information about this series at http://www.springer.com/series/666 Jeffrey Hoffstein • Jill Pipher Joseph
    [Show full text]
  • Covariances, Robustness, and Variational Bayes
    Journal of Machine Learning Research 19 (2018) 1-49 Submitted 11/17; Revised 7/18; Published 8/18 Covariances, Robustness, and Variational Bayes Ryan Giordano [email protected] Department of Statistics, UC Berkeley 367 Evans Hall, UC Berkeley Berkeley, CA 94720 Tamara Broderick [email protected] Department of EECS, MIT 77 Massachusetts Ave., 38-401 Cambridge, MA 02139 Michael I. Jordan [email protected] Department of Statistics and EECS, UC Berkeley 367 Evans Hall, UC Berkeley Berkeley, CA 94720 Editor: Mohammad Emtiyaz Khan Abstract Mean-field Variational Bayes (MFVB) is an approximate Bayesian posterior inference technique that is in- creasingly popular due to its fast runtimes on large-scale data sets. However, even when MFVB provides accurate posterior means for certain parameters, it often mis-estimates variances and covariances. Further- more, prior robustness measures have remained undeveloped for MFVB. By deriving a simple formula for the effect of infinitesimal model perturbations on MFVB posterior means, we provide both improved covariance estimates and local robustness measures for MFVB, thus greatly expanding the practical usefulness of MFVB posterior approximations. The estimates for MFVB posterior covariances rely on a result from the classical Bayesian robustness literature that relates derivatives of posterior expectations to posterior covariances and includes the Laplace approximation as a special case. Our key condition is that the MFVB approximation provides good estimates of a select subset of posterior means—an assumption that has been shown to hold in many practical settings. In our experiments, we demonstrate that our methods are simple, general, and fast, providing accurate posterior uncertainty estimates and robustness measures with runtimes that can be an order of magnitude faster than MCMC.
    [Show full text]
  • President's Report
    Newsletter Volume 42, No. 5 • SePTemBeR–oCT oBeR 2012 PRESIDENT’S REPORT AWM Prize Winners. I am pleased to announce the winners of two of the three major prizes given by AWM at the Joint Mathematics Meetings (JMM). The Louise Hay Award is given to Amy Cohen, Rutgers University, in recognition of The purpose of the Association her “contributions to mathematics education through her writings, her talks, and for Women in Mathematics is her outstanding service to professional organizations.” The Gweneth Humphreys • to encourage women and girls to Award is given to James Morrow, University of Washington, in recognition of study and to have active careers in his “outstanding achievements in inspiring undergraduate women to discover and the mathematical sciences, and • to promote equal opportunity and pursue their passion for mathematics.” I quote from the citations written by the the equal treatment of women and selection committees and extend warm congratulations to the honorees. These girls in the mathematical sciences. awards will be presented at the Prize Session at JMM 2013 in San Diego. Congratulations to Raman Parimala, Emory University, who will present the AWM Noether Lecture at JMM 2013, entitled “A Hasse Principle for Quadratic Forms over Function Fields.” She is honored for her groundbreaking research in theory of quadratic forms, hermitian forms, linear algebraic groups, and Galois cohomology. The Noether Lecture is the oldest of the three named AWM Lectures. (The Falconer Lecture is presented at MathFest, and the Sonia Kovalevsky at the SIAM Annual Meeting.) The first Noether Lecture was given by F. Jessie MacWilliams in 1980 in recognition of her fundamental contributions to the theory of error correcting codes.
    [Show full text]
  • Calendar of AMS Meetings and Conferences
    Calendar of AMS Meetings and Conferences This calendar lists all meetings and conferences approved prior to the date this insofar as is possible. Abstracts should be submitted on special forms which are issue went to press. The summer and annual meetings are joint meetings of the available in many departments of mathematics and from the headquarters office of Mathematical Association of America and the American Mathematical Society. The the Society. Abstracts of papers to be presented at the meeting must be received meeting dates which fall rather far in the future are subject to change; this is par­ at the headquarters of the Society in Providence, Rhode Island, on or before the ticularly true of meetings to which no numbers have been assigned. Programs of deadline given below for the meeting. The abstract deadlines listed below should the meetings will appear in the issues indicated below. First and supplementary be carefully reviewed since an abstract deadline may expire before publication of announcements of the meetings will have appeared in earlier issues. Abstracts a first announcement. Note that the deadline for abstracts for consideration for of papers presented at a meeting of the Society are published in the journal Ab­ presentation at special sessions is usually three weeks earlier than that specified stracts of papers presented to the American Mathematical Society in the issue below. For additional information, consult the meeting announcements and the list corresponding to that of the Notices which contains the program of the meeting, of special sessions. Meetings Abstract Program Meeting# Date Place Deadline Issue 876 * October 30-November 1 , 1992 Dayton, Ohio August 3 October 877 * November ?-November 8, 1992 Los Angeles, California August 3 October 878 * January 13-16, 1993 San Antonio, Texas OctoberS December (99th Annual Meeting) 879 * March 26-27, 1993 Knoxville, Tennessee January 5 March 880 * April9-10, 1993 Salt Lake City, Utah January 29 April 881 • Apnl 17-18, 1993 Washington, D.C.
    [Show full text]
  • 2009 SIAM Annual Meeting Is Being Held Rooms Sell out Quickly!) in Conjunction with the Community Lecture Wednesday, July 8, 6:15 – 7:15 PM I.E
    Join SIAM in Denverwww.siam.org/meetings/an09 Organizing Committee Mihai Anitescu, Argonne National Laboratory Andrew Conn, IBM T. J. Watson Research Center Lenore Cowen, Tufts University William McEneaney, University of California, San Diego Esmond Ng, Lawrence Berkeley National Laboratory Donald Estep, Colorado State University Lori Freitag-Diachin (co-chair), Lawrence Livermore National Laboratory Padma Raghavan, Pennsylvania State University Jonathan Rubin, University of Pittsburgh Invited Presentations Björn Sandstede, University of Surrey, United Plenary Speakers Kingdom Heinz-Otto Kreiss, KTH Stockholm, Sweden Rob Schreiber, Hewlett Packard Karl Kunisch*, University of Graz, Austria Tao Tang, Hong Kong Baptist University, Hong Kong Ulisses Mello, IBM Research Andy Wathen (co-chair), University of Oxford, * Joint speaker with the 2009 SIAM Conference on United Kingdom Control and Its Applications Thaleia Zariphopoulou, University of Texas, Austin Topical Speakers Alberto Bressan, Pennsylvania State University Prizes and Awards Luncheon Russel E. Caflisch, University of California, Los Angeles The following prizes and awards will be presented Stephen Coombes, University of Nottingham, at the prizes and awards luncheon on Tuesday, United Kingdom July 7, 12:30 – 2:00 PM. Michael C. Ferris, University of Wisconsin Wen-mei Hwu, University of Illinois at Urbana-Champaign I. E. Block Community Lecture Ioannis Karatzas, Columbia University Theodore von Kármán Prize Lecture Charles E. Leiserson, Cilk Arts and Massachusetts AWM-SIAM Sonia Kovalevsky Lecture Institute of Technology W. T. and Idalia Reid Prize in Mathematics Lecture Lois Curfman McInnes, Argonne National Laboratory The John von Neumann Lecture Denver images courtesy Bruce Younggreen, and Denver Visitors and Convention Bureau and Denver Visitors Younggreen, Denver images courtesy Bruce Juan C.
    [Show full text]
  • Finite Projective Geometries 243
    FINITE PROJECTÎVEGEOMETRIES* BY OSWALD VEBLEN and W. H. BUSSEY By means of such a generalized conception of geometry as is inevitably suggested by the recent and wide-spread researches in the foundations of that science, there is given in § 1 a definition of a class of tactical configurations which includes many well known configurations as well as many new ones. In § 2 there is developed a method for the construction of these configurations which is proved to furnish all configurations that satisfy the definition. In §§ 4-8 the configurations are shown to have a geometrical theory identical in most of its general theorems with ordinary projective geometry and thus to afford a treatment of finite linear group theory analogous to the ordinary theory of collineations. In § 9 reference is made to other definitions of some of the configurations included in the class defined in § 1. § 1. Synthetic definition. By a finite projective geometry is meant a set of elements which, for sugges- tiveness, are called points, subject to the following five conditions : I. The set contains a finite number ( > 2 ) of points. It contains subsets called lines, each of which contains at least three points. II. If A and B are distinct points, there is one and only one line that contains A and B. HI. If A, B, C are non-collinear points and if a line I contains a point D of the line AB and a point E of the line BC, but does not contain A, B, or C, then the line I contains a point F of the line CA (Fig.
    [Show full text]
  • Annual Report 2020 Christ Church 3 Jan Morris 91 Prof Jack Paton 92 the House in 2020 16 L
    ANNUAL REPORT 2020 Christ Church 3 Jan Morris 91 Prof Jack Paton 92 The House in 2020 16 L. Perry Curtis 98 Matthew Wright 101 The Censors’ Office 24 The Library 26 Senior Members’ Activities The Archives 33 and Publications 104 The Picture Gallery 35 The Cathedral 39 News of Old Members 121 The College Chaplain 43 The Development & Deceased Members 126 Alumni Office 45 The Steward’s Dept. 50 Final Honour Schools 129 The Treasury 53 Admissions and Access Graduate Degrees 133 in 2020 56 Student Welfare 59 Award of University Prizes 136 Graduate Common Room 62 Junior Common Room 64 Information about Gaudies 138 The Christopher Tower Poetry Prize 67 Other Information Christ Church Music Other opportunities to stay Society 69 at Christ Church 141 Conferences at Christ Sir Anthony Cheetham 71 Church 142 Publications 143 Obituaries Cathedral Choir CDs 144 Lord Armstrong of 73 Illminster Acknowledgements 144 Prof Christopher Butler 74 Prof Peter Matthews 86 1 2 CHRIST CHURCH Visitor HM THE QUEEN Dean Percy, The Very Revd Martyn William, BA Brist, MEd Sheff, PhD KCL. Canons Gorick, The Venerable Martin Charles William, MA (Cambridge), MA (Oxford) Archdeacon of Oxford (until Jan 2020) Chaffey, The Venerable Jonathan Paul Michael, BA (Durham) (from May 2020) Biggar, The Revd Professor Nigel John, MA PhD (Chicago), MA (Oxford), Master of Christian Studies (Regent Coll Vancouver) Regius Professor of Moral and Pastoral Theology Foot, The Revd Professor Sarah Rosamund Irvine, MA PhD (Cambridge) Regius Professor of Ecclesiastical History Ward, The Revd Graham, MA PhD (Cambridge) Regius Professor of Divinity Newey, The Revd Edmund James, MA (Cambridge), MA (Oxford), PhD (Manchester) Sub Dean (until May 2020) Peers, The Revd Canon Richard Charles, BA (Southampton), B.Ed.
    [Show full text]
  • 2018 Annual Report Alfred P
    2018 Annual Report Alfred P. Sloan Foundation $ 2018 Annual Report Contents Preface II Mission Statement III From the President IV The Year in Discovery VI About the Grants Listing 1 2018 Grants by Program 2 2018 Financial Review 101 Audited Financial Statements and Schedules 103 Board of Trustees 133 Officers and Staff 134 Index of 2018 Grant Recipients 135 Cover: The Sloan Foundation Telescope at Apache Point Observatory, New Mexico as it appeared in May 1998, when it achieved first light as the primary instrument of the Sloan Digital Sky Survey. An early set of images is shown superimposed on the sky behind it. (CREDIT: DAN LONG, APACHE POINT OBSERVATORY) I Alfred P. Sloan Foundation $ 2018 Annual Report Preface The ALFRED P. SLOAN FOUNDATION administers a private fund for the benefit of the public. It accordingly recognizes the responsibility of making periodic reports to the public on the management of this fund. The Foundation therefore submits this public report for the year 2018. II Alfred P. Sloan Foundation $ 2018 Annual Report Mission Statement The ALFRED P. SLOAN FOUNDATION makes grants primarily to support original research and education related to science, technology, engineering, mathematics, and economics. The Foundation believes that these fields—and the scholars and practitioners who work in them—are chief drivers of the nation’s health and prosperity. The Foundation also believes that a reasoned, systematic understanding of the forces of nature and society, when applied inventively and wisely, can lead to a better world for all. III Alfred P. Sloan Foundation $ 2018 Annual Report From the President ADAM F.
    [Show full text]
  • Metal‐Organic Framework Nanosheets: Programmable 2D Materials for Catalysis, Sensing, Electronics, and Separation Applications
    This is a repository copy of Metal‐organic framework nanosheets: programmable 2D materials for catalysis, sensing, electronics, and separation applications. White Rose Research Online URL for this paper: https://eprints.whiterose.ac.uk/176700/ Version: Published Version Article: Nicks, J., Sasitharan, K., Prasad, R.R.R. et al. (2 more authors) (2021) Metal‐organic framework nanosheets: programmable 2D materials for catalysis, sensing, electronics, and separation applications. Advanced Functional Materials. 2103723. ISSN 1616-301X https://doi.org/10.1002/adfm.202103723 Reuse This article is distributed under the terms of the Creative Commons Attribution (CC BY) licence. This licence allows you to distribute, remix, tweak, and build upon the work, even commercially, as long as you credit the authors for the original work. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ REVIEW www.afm-journal.de Metal-Organic Framework Nanosheets: Programmable 2D Materials for Catalysis, Sensing, Electronics, and Separation Applications Joshua Nicks, Kezia Sasitharan, Ram R. R. Prasad, David J. Ashworth, and Jonathan A. Foster* offers advantages over simple inorganic Metal-organic framework nanosheets (MONs) have recently emerged as a nanosheets in that a diverse range of distinct class of 2D materials with programmable structures that make them physical and chemical properties can be useful in diverse applications.
    [Show full text]