Electron energy loss spectroscopy of K0.7Fe1.7Se2 superconductor
Eur. Phys. J. Appl. Phys., 98 (2023) 13
DOI: https://doi.org/10.1051/epjap/2023220245
Download citation
Open calls for papers
-
EPJ A Topical Collection devoted to the legacy of Peter Schuck
-
EPJ A Topical Collection: Radiative Corrections: From Medium to High Energy Experiments
-
EPJ A Topical Collection: Short-Range Correlations and the EMC Effect
-
EPJ A Topical Issue: Heavy and Super-Heavy Nuclei and Elements: Production and Properties
-
EPJ B Topical Issue: Extreme Value Statistics and Search in Biology: Theory and Simulations
-
EPJ B Topical Issue: Neuromorphic Bio-inspired Computing
-
EPJ B Topical Issue: New frontiers in exploring the dynamics of community structure in online social networks
-
EPJ B Topical Issue: Quantum phase transitions and open quantum systems: A tribute to Prof. Amit Dutta
-
EPJ B Topical Issue: Superconducting Graphene
-
EPJ D Topical Issue: Electron and Positron Interactions and Their Applications: a tribute to Professor Michael Brunger
-
EPJ D Topical Issue: Quantum Walks and applications
-
EPJ E Topical Issue: Festschrift in honor of Philip (Fyl) Pincus
-
EPJ H Special Issue: History for Physics: Contextualizing modern developments in the foundations of quantum theory
-
EPJ N Topical Issue on Research Reactor use and projects on modeling and experimental breakthroughs for Advanced Nuclear Reactors
-
EPJ Plus Focus Point Issue: Citizen science for physics: From Education and Outreach to Crowdsourcing fundamental research
-
EPJ Plus Focus Point Issue: Focus Point on Higher Derivatives in Quantum Gravity: Theory, Tests, Phenomenology
-
EPJ Plus Focus Point Issue: The Magic of Glass
-
EPJ Quantum Technology - Open Calls for Papers
-
EPJ ST Special Issue Celestial Mechanics: new discoveries and challenges for space exploration
-
EPJ ST Special Issue: b-quark physics as a precision laboratory: status and future prospects
-
EPJ ST Special Issue: Frontier 23: Elementary particle physics, dark matter and astroparticle physics
-
EPJ ST Special Issue: Machine Learning in Quantum Many Body and Physical Systems
-
EPJ ST Special Issue: Molecular and Cellular Mechanics
-
EPJ Techniques and Instrumentation - Open Calls for Papers