MIT Open Access Articles

The MIT Open Access Articles collection consists of scholarly articles written by MIT-affiliated authors that are made available through DSpace@MIT under the MIT Faculty Open Access Policy, or under related publisher agreements. Articles in this collection generally reflect changes made during peer-review.

Version details are supplied for each paper in the collection:

  • Original manuscript: author's manuscript prior to formal peer review
  • Author's final manuscript: final author's manuscript post peer review, without publisher's formatting or copy editing
  • Final published version: final published article, as it appeared in a journal, conference proceedings, or other formally published context (this version appears here only if allowable under publisher's policy)

Some peer-reviewed scholarly articles are available through other DSpace@MIT collections, such as those for departments, labs, and centers.

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Recent Submissions

  • Strategies in engineering sustainable biochemical synthesis through microbial systems 

    Song, Yoseb; Prather, Kristala LJ (Elsevier BV, 2024-08)
    Growing environmental concerns and the urgency to address climate change have increased demand for the development of sustainable alternatives to fossil-derived fuels and chemicals. Microbial systems, possessing inherent ...

  • Covert reciprocals: a scope-based analysis of reciprocal alternations 

    Wehbe, Jad (Springer Netherlands, 2025-09-30)
    This paper argues that the class of predicates that participate in reciprocal alternations, like the seemingly 1-place predicate hug in Jane and Mary hugged, should in fact be analyzed as 2-place predicates with a covert ...

  • Robust resonant anomaly detection with NPLM 

    Grosso, Gaia; Sengupta, Debajyoti; Golling, Tobias; Harris, Philip (Springer Berlin Heidelberg, 2025-09-28)
    In this study, we investigate the application of the New Physics Learning Machine (NPLM) algorithm as an alternative to the standard CWoLa method with Boosted Decision Trees (BDTs), particularly for scenarios with rare ...

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