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Anthony A. Amato

Researcher at Brigham and Women's Hospital

Publications -  930
Citations -  71207

Anthony A. Amato is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Muon spin spectroscopy & LIGO. The author has an hindex of 105, co-authored 911 publications receiving 57881 citations. Previous affiliations of Anthony A. Amato include Helsinki Institute of Physics & University of Rochester Medical Center.

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Orbital and spin effects for the upper critical field in As deficient disordered Fe pnictide superconductors

TL;DR: In this article, B_c2 data for LaO 0.9,F 0.1,FeAs 1-delta single crystals from a tin-flux is reported, and the authors interpret a similar phenomenon reported for at least three other disordered closely related systems as also a manifestation of Pauli-limited behavior.
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Muon spin rotation and relaxation in the superconducting ferromagnet UCoGe.

TL;DR: Ferromagnetism coexists with superconductivity on the microscopic scale as well as the bulk superconducting transition temperature Tsc=0.5 K, which is unambiguous proof for ferromagnets present in the whole sample volume.
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Distal myasthenia gravis.

TL;DR: A retrospective chart review of MG patients treated at two university-based neuromuscular clinics found hand muscles, particularly finger extensors, were involved more frequently than were distal leg and foot muscles.
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Superconducting properties of single-crystalline A x Fe 2 − y Se 2 ( A = Rb, K) studied using muon spin spectroscopy

TL;DR: In this paper, the superconducting properties of single crystals studied with the muon spin relaxation or rotation technique were investigated. And the microscopic coexistence and/or phase separation of superconductivity and magnetism was discussed.
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Consensus disease definitions for neurologic immune-related adverse events of immune checkpoint inhibitors.

TL;DR: In this article, the authors developed consensus guidance for an approach to irAE-Ns including disease definitions and severity grading, based on numeric ratings using the RAND/University of California Los Angeles (UCLA) Appropriateness Method with prespecified definitions.