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researcher

A. Sanna

38 papers hereh-index 293.7k citations108 works total

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

author position
  • first author4
  • middle author27
  • last author2

Across the 33 of 38 papers where every author was matched, so the position is known.

fields
  • cond-mat.supr-con32
  • cond-mat.mtrl-sci3
  • cond-mat.other1
  • cond-mat.stat-mech1
  • cond-mat.str-el1
same name
  • A. Sanna — 115 papers, h 25
  • A. Sanna — 60 papers, h 29
  • A. Sanna — 17 papers, h 3
  • A. Sanna — 17 papers, h 2
  • A. Sanna — 6 papers, h 3
  • A. Sanna — 5 papers, h 6

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
20042025
most citedA Perspective on Conventional High-Temperature Superconductors at High Pressure: Methods and Materials

523 citations · 3.1k across the 38 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

3 papers · 1 filter

cond-mat.mtrl-sci2018★ 22 cited

Emergent Dirac carriers across a pressure-induced Lifshitz transition in black phosphorus

P. Di Pietro, M. Mitrano, S. Caramazza +11

The phase diagrams of correlated systems like cuprates or pnictides high-temperature superconductors are characterized by a topological change of the Fermi surface under continuous…

cond-mat.mtrl-sci2018★ 17 cited

Effect of exchange-correlation spin-torque on spin dynamics

J. K. Dewhurst, A. Sanna, S. Sharma

A recently proposed exchange-correlation functional (Dewhurst et al. 10.1021/acs.jctc.7b01049) with in density functional theory, which ensures that the exchange-correlation magnet…

cond-mat.mtrl-sci2013★ 488 cited

How to represent crystal structures for machine learning: towards fast prediction of electronic properties

K. T. Schütt, H. Glawe, F. Brockherde +3

High-throughput density-functional calculations of solids are extremely time consuming. As an alternative, we here propose a machine learning approach for the fast prediction of so…

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