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
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Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties
(Springer Science and Business Media LLC, 2022-06-14)Polymer electrolytes are promising candidates for the next generation lithium-ion battery technology. Large scale screening of polymer electrolytes is hindered by the significant cost of molecular dynamics (MD) simulation ... -
New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research
(Royal Society of Chemistry, 2022)In this perspective, we highlight results of a research consortium devoted to advancing understanding of oxygen reduction reaction (ORR) catalysis as a means to inform fuel cell science. We demonstrate how targeted ... -
A Secure Digital In-Memory Compute (IMC) Macro with Protections for Side-Channel and Bus Probing Attacks
(IEEE, 2024-04)Machine learning (ML) accelerators provide energy efficient neural network (NN) implementations for applications such as speech recognition and image processing. Recently, digital IMC has been proposed to reduce data ...