Computational Study of Predicting Efficient Electrocatalysts in Oxygen Reduction and Evolution Reactions

Zayah Cortright; Oliviero Andreussi

Computational Study of Predicting Efficient Electrocatalysts in Oxygen Reduction and Evolution Reactions

Zayah Cortright, Oliviero Andreussi

Chemistry Department

Boise State University

Research output: Contribution to conference › Presentation

Abstract

Efficient electrocatalysts are crucial for advancing energy conversion and storage technologies. This research focuses on using accelerated methodologies to evaluate the electrocatalytic potential of alternative materials.

Original language	American English
State	Published - 12 Jul 2023

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title = "Computational Study of Predicting Efficient Electrocatalysts in Oxygen Reduction and Evolution Reactions",

abstract = " Efficient electrocatalysts are crucial for advancing energy conversion and storage technologies. This research focuses on using accelerated methodologies to evaluate the electrocatalytic potential of alternative materials.",

author = "Zayah Cortright and Oliviero Andreussi",

year = "2023",

month = jul,

day = "12",

language = "American English",

}

TY - CONF

T1 - Computational Study of Predicting Efficient Electrocatalysts in Oxygen Reduction and Evolution Reactions

AU - Cortright, Zayah

AU - Andreussi, Oliviero

PY - 2023/7/12

Y1 - 2023/7/12

N2 - Efficient electrocatalysts are crucial for advancing energy conversion and storage technologies. This research focuses on using accelerated methodologies to evaluate the electrocatalytic potential of alternative materials.

AB - Efficient electrocatalysts are crucial for advancing energy conversion and storage technologies. This research focuses on using accelerated methodologies to evaluate the electrocatalytic potential of alternative materials.

M3 - Presentation

ER -

Computational Study of Predicting Efficient Electrocatalysts in Oxygen Reduction and Evolution Reactions

Abstract

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