19191 search results found

  • Kota
    Kondo

    Graduate Student
    Primary DLC
    Department of Aeronautics and Astronautics

    Contact

    31-235D
    (617) 486-8940
    kkondo@mit.edu

  • Matthew
    J
    Fucci

    Counsel
    Primary DLC
    Office of the President

    Contact

    NE36-6201
    (617) 452-3627
    mfucci@mit.edu

  • Nils
    Pachler de la Osa

    Graduate Student
    Primary DLC
    Department of Aeronautics and Astronautics

  • The Nano Summit 2024

    Wed, October 23, 2024 Conference
    Boston Marriott Cambridge

    This year's summit will delve into the transformative impact of nanoscience as it relates to microscopy, materials science, AI and machine learning, hard technology, human health, and more. The summit is ideal for researchers, industry professionals, entrepreneurs, and students interested in the latest developments in cutting-edge research, emerging technologies, and real-world applications.

  • July 2024
    ILP Research Survey

    AI Applications: Electrical Engineering, Computer Science, Data, Physics

  • 07.16.24-TokyoLifeScienceSymposium_Welcome-Introduction

    July 16, 2024Conference Video Duration: 6:47
    Welcome & Introduction

  • 07.16.24-TokyoLifeScienceSymposium_Startup-Lightning-Talks

    July 16, 2024Conference Video Duration: 34:0
    Startup Lightning Talks

  • 07.16.24-TokyoLifeScienceSymposium_ArtificialIforDesignSynthesisofSmall MoleculeConnorWColey

    July 16, 2024Conference Video Duration: 41:0
    Artificial intelligence and machine learning have become important components of the computational toolbox that can be used to advance chemical research and discovery. In this talk, I will discuss our group’s work advancing AI/ML as it applies to the broad subfields of medicinal chemistry and synthetic organic chemistry. I will describe several approaches to facilitate decision-making when planning iterative design-make-test-analyze cycles, including the use of formal optimization techniques for selecting molecules from virtual libraries or proposed by generative AI and the use of computer-aided synthesis planning algorithms to define synthetically-accessible chemical spaces. A pervasive theme of our research is the formulation of problems in molecular design and synthesis in a manner amenable to computational approaches. 

  • 07.16.24-TokyoLifeScienceSymposium_ADigitalTwinforContinuousmRNAManufacturingy_RichardBraatz

    July 16, 2024Conference Video Duration: 41:44
    This presentation describes a digital twin that is being developed for end-to-end continuous manufacturing of mRNA biotherapeutics. Mechanistic models are being constructed for all unit operations. These dynamic models are integrated with models for constraints, uncertainties, and disturbances to form a digital twin for automated, integrated continuous manufacturing. The digital twin is suitable for (1) evaluation and validation of mechanistic hypotheses to gain mechanistic understanding, (2) comparison of multiple process flowsheet options, (3) optimization of individual unit operations and their control systems, (4) the design of end-to-end operations, and (5) the real-time operation alongside plant operations. Experimentally validated results are presented for multiple unit operations. 

  • 07.16.24-TokyoLifeScienceSymposium_ConnectingwiththeMITInnovationEcosystemPanel Discussion

    July 16, 2024Conference Video Duration: 58:0
    Panel Discussion: Connecting with the MIT Innovation Ecosystem