activity
20172021
most cited3D Nanomagnetism in Low Density Interconnected Nanowire Networks

67 citations · 134 across the 5 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

6 papers · 1 filter

cond-mat.mtrl-sci202129 cited

Electrically Enhanced Exchange Bias via Solid State Magneto-Ionics

Peyton D. Murray, Christopher J. Jensen, Alberto Quintana +5

Electrically induced ionic motion offers a new way to realize voltage-controlled magnetism, opening the door to a new generation of logic, sensor, and data storage technologies. He…

cond-mat.mtrl-sci2020

Reconstructing phase-resolved hysteresis loops from first-order reversal curves

Dustin A. Gilbert, Peyton D. Murray, Julius De Rojas +3

The first order reversal curve (FORC) method is a magnetometry based technique used to capture nanoscale magnetic phase separation and interactions with macroscopic measurements us…

cond-mat.mtrl-sci202067 cited

3D Nanomagnetism in Low Density Interconnected Nanowire Networks

Edward C. Burks, Dustin A. Gilbert, Peyton D. Murray +7

Free-standing, interconnected metallic nanowire networks with density as low as 40 mg/cm^{3} have been achieved over cm-scale areas, using electrodeposition into polycarbonate memb…

cond-mat.mtrl-sci201920 cited

Interfacial-Redox-Induced Tuning of Superconductivity in YBaCuO

Peyton D. Murray, Dustin A. Gilbert, Alexander J. Grutter +13

Solid state ionic approaches for modifying ion distributions in getter/oxide heterostructures offer exciting potentials to control material properties. Here we report a simple, sca…

cond-mat.mtrl-sci2019

Analytical computation of the demagnetizing energy of thin film domain walls

Audun Skaugen, Peyton Murray, Lasse Laurson

Due to its non-local nature, calculating the demagnetizing field remains the biggest challenge in understanding domain structures in ferromagnetic materials. Analytical description…

cond-mat.mtrl-sci2018

Ionic Tuning of Cobaltites at the Nanoscale

Dustin A. Gilbert, Alexander J. Grutter, Peyton D. Murray +13

Control of materials through custom design of ionic distributions represents a powerful new approach to develop future technologies ranging from spintronic logic and memory devices…