4928 search results found

  • Karl
    F
    Seidman

    Research Affiliate
    Primary DLC
    Department of Urban Studies and Planning

    Contact

    9-511
    (617) 253-3964
    seidman@mit.edu

  • Hojun
    Li

    Visiting Scientist
    Primary DLC
    Koch Institute for Integrative Cancer Research (KIICR)

    Contact

    76
    hojunli@mit.edu

  • Samuel
    C C
    Ting

    Thomas D Cabot Institute Professor of Physics
    Primary DLC
    Department of Physics

    Contact

    26-306A
    (617) 253-8326
    sccting@mit.edu

  • Noelle
    Eckley
    Selin

    Professor of Earth, Atmospheric and Planetary Sciences
    Primary DLC
    Center for Sustainability Science and Strategy

    Contact

    E17-381
    (617) 324-2592
    selin@mit.edu

    Assistant

    Amy Kaczur
    (617) 715-5999
    akaczur@mit.edu

  • MIT Nano Summit

    Tue, October 24, 2023 Conference
    Boston Marriott Cambridge

    On October 24, 2023, MIT.nano will celebrate its 5th anniversary with The Nano Summit! The first of an annual flagship conference for MIT.nano, this event will highlight the astonishing research being done at MIT and look to the future of nanoscience and engineering.

  • Robin
    Wolfe
    Scheffler

    Associate Professor of Science, Technology, and Society
    Primary DLC
    Program in Science, Technology, and Society

    Contact

    E51-186
    (617) 253-7679
    rws42@mit.edu
  • June 13, 2016
    Sociotechnical Systems Research Center

    MIT Internet Trust Consortium

    Principal Investigator Thomas Hardjono

  • 11.4.20-MRL-Digital-Welcome-Schuh

    November 4, 2020Conference Video Duration: 40:31
    Over the past several decades the iterative trial-and-error approach to alloy design has become dramatically ‘digitally enhanced’.  Physically-motivated computational models that incorporate thermodynamics, kinetics, and processing pathways can substantially narrow the search for optimum alloy compositions and configurations, while high-throughput experimental methods accelerate iteration. In advanced research areas where the controlling physics are not always known, computation can be augmented with data science and machine learning methods to span vast compositional spaces where few experiments exist. This talk will highlight projects of MIT faculty contributing to the digital transformation of the innovative ‘front-end’ of the metals industry—the design and reduction-to-practice of new alloys.
  • March 3, 2022 ILP Faculty Feature

    Building better chemistries for renewable energy

    Yang Shao-Horn

  • 11.5.20-Beijing-Xuanhe-Zhao

    November 5, 2020Conference Video Duration: 24:56

    Xuanhe Zhao
    Robert N Noyce Career Development Associate Professor of Mechanical Engineering
    Associate Professor of Civil and Environmental Engineering
    Head, Soft Active Materials Laboratory (SAMs)
    MIT Department of Mechanical Engineering