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researcher

Sapan Agarwal

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • cs.AR1
ORCID 0000-0002-3676-6986

identity via Semantic Scholar / OpenAlex

most citedExplainable Machine Learning for Hydrogen Diffusion in Metals and Random Binary Alloys

19 citations · 19 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AR2024

TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives

Ryan Wong, Nikita Kim, Kevin Higgs +4

As the amount of data produced in society continues to grow at an exponential rate, modern applications are incurring significant performance and energy penalties due to high data…

cond-mat.mtrl-sci2023★ 19 cited

Explainable Machine Learning for Hydrogen Diffusion in Metals and Random Binary Alloys

Grace M. Lu, Matthew Witman, Sapan Agarwal +2

Hydrogen diffusion in metals and alloys plays an important role in the discovery of new materials for fuel cell and energy storage technology. While analytic models use hand-select…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.