3296 search results found

  • Ariel Furst Feature

    October 24, 2024MIT Faculty Feature Duration: 24:39

    Ariel Furst
    Assistant Professor, MIT Department of Chemical Engineering

  • Turning CO2 into Carbon-Neutral Industrial Chemicals: Helix Carbon

    January 24, 2025Conference Video Duration: 6:5

    Turning CO2 into Carbon-Neutral Industrial Chemicals
    Evan Haas, Co-Founder & CEO, Helix Carbon
    Helix Carbon: https://helixcarbon.co/

    Helix Carbon is decarbonizing heavy industry by transforming emitted CO2 into carbon-neutral fuels &
     chemicals including CO, ethylene, and syngas. Born from MIT innovations, these electrochemical systems 
    use inexpensive catalysts with high stability to convert flue gas directly into these cost-competitive carbon
     feedstocks. Helix builds drop-in electrolyzers that integrate with existing direct reduced iron & petrochemical
     facilities to upcycle CO2 emissions into chemical feedstocks, enabling green steel, polycarbonate,
     polyurethane, and more.

  • December 4, 2017 ILP Faculty Feature

    Transforming the chemical industry with green electrons

  • NextGen-AI for Engineering Design | Faez Ahmed

    January 23, 2026Conference Video Duration: 27:57

    Associate Professor Faez Ahmed, Associate Professor, MIT Department of Mechanical Engineering, explores how generative AI is transforming engineering design beyond simple pattern-matching. The talk examines the challenges of applying AI to precision-driven fields, showcases case studies in areas like kinematics and topology optimization, and demonstrates AI co-pilots that merge multimodal models with engineering tools. It highlights how performance-focused generative AI can enable innovative, feasible, and high-functioning designs while accelerating innovation and democratizing access to advanced design capabilities.

  • Mitsui Chemicals, Inc.

    Chiba, Japan

  • Sun Chemical Corporation

    Fort Lee, New Jersey, United States

  • 2024 MIT R&D Conference: Track 1 - Space - Automating the Identification of Chemical Mixture Components with Machine Learning

    November 19, 2024Conference Video Duration: 38:4
    Automating the Identification of Chemical Mixture Components with Machine Learning
    Brett McGuire
    Class of 1943 Career Development Assistant Professor, MIT Department of Chemistry
    Identifying the precise chemical makeup of complex mixtures is of interest in fields ranging from atmospheric chemistry to pharmaceutical development and quality control to my own field of astrochemistry.  A variety of analytical tools such as spectroscopy, mass spectrometry, nuclear magnetic resonance, and chromatography provide chemical "fingerprinting," which can, in theory, be used to identify these chemical components, but the sheer density of spectral features of different molecules that are often present in such readings can make unambiguous assignment to individual species challenging. Yet, the components are commonly chemically related due to the shared chemical evolution of the mixture. Therefore, along with investigating the analytical signals, analysis of the structural and chemical relevance of a molecule is an important consideration when determining which species are present in a given mixture. My group works primarily in applications of rotational spectroscopy, and thus, in this talk, I will present a method that combines machine-learning molecular embedding models with a graph-based ranking system to determine the likelihood of a molecule being present in a pure rotational spectrum based on the other known species, chemical priors, and spectroscopic information.  I'll present details on the process as well as demonstrate its utility on both laboratory mixtures and astrochemical observations from space.  Our work demonstrates that the chemical inventory can be identified with extremely high accuracy in a much more efficient manner than manual analysis.

  • Sumitomo Chemical Co., Ltd.

    Tokyo, Japan

  • How AI is Transforming Software Engineering: Armando Solar-Lezama

    April 1, 2025Conference Video Duration: 23:32

    How AI is Transforming Software Engineering

    Armando Solar-Lezama
    Professor, MIT Department of Electrical Engineering and Computer Science
    Associate Director and COO, MIT Computer Science & Artificial Intelligence Laboratory

    AI is not just transforming industries—it’s revolutionizing software development. From AI-assisted coding to automated testing and lifecycle management, new tools are enhancing productivity, quality, and security. The speaker will explore the impact of AI-driven programming, the evolving role of software engineers, and the challenges of ensuring control, reliability, and trust in AI-generated code.

  • November 9, 2021 MIT News

    James Swan, associate professor of chemical engineering, dies at 39