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Philip J. D. Crowley

4 papers hereh-index 338 citations4 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mes-hall3
  • cond-mat.supr-con1
same name
  • Philip J. D. Crowley — 2 papers, h 2
  • Philip J. D. Crowley — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedBand structure engineering using a moiré polar substrate

33 citations · 43 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.supr-con2025

Persistent Fluctuating Superconductivity and Planckian Dissipation in Fe(Te,Se)

Jonathan Stensberg, Pok Man Tam, Xiaoyu Yuan +11

Increasingly intricate phase diagrams in new classes of superconductors host fascinating interactions between superconductivity, diverse quantum phases, and quantum critical dynami…

cond-mat.mes-hall2024

Stability of sub-dimensional localization to electronic interactions

Nisarga Paul, Philip J. D. Crowley

Sub-dimensional localization, also known as directional localization, arises when 2d electrons are subject to a periodic potential and incommensurate magnetic field which cause the…

cond-mat.mes-hall2024★ 33 cited

Band structure engineering using a moiré polar substrate

Xirui Wang, Cheng Xu, Samuel Aronson +11

Applying long wavelength periodic potentials on quantum materials has recently been demonstrated to be a promising pathway for engineering novel quantum phases of matter. Here, we…

cond-mat.mes-hall2023★ 10 cited

Dimensional reduction from magnetic field in moiré superlattices

Nisarga Paul, Philip J. D. Crowley, Liang Fu

Moiré materials provide a highly tunable platform in which novel electronic phenomena can emerge. We study strained moiré materials in a uniform magnetic field and predict highly a…

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