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A. Buganza Tepole

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.bio-ph1
  • physics.ins-det1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedIntegrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

645 citations · 645 across the 1 of their papers we have counts for

collaborators

3 papers

physics.bio-ph2019

Multiscale modeling meets machine learning: What can we learn?

Grace C. Y. Peng, Mark Alber, Adrian Buganza Tepole +9

Machine learning is increasingly recognized as a promising technology in the biological, biomedical, and behavioral sciences. There can be no argument that this technique is incred…

q-bio.QM2019★ 645 cited

Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

Mark Alber, Adrian Buganza Tepole, William Cannon +8

Fueled by breakthrough technology developments, the biological, biomedical, and behavioral sciences are now collecting more data than ever before. There is a critical need for time…

physics.ins-det2019

Probabilistic vortex crossing criterion for superconducting nanowire single-photon detectors

Saman Jahani, Li-Ping Yang, Adrian Buganza Tepole +3

Superconducting nanowire single-photon detectors have emerged as a promising technology for quantum metrology from the mid-infrared to ultra-violet frequencies. Despite the recent…

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