Rational Design of 3d-Transition Metal Phthalocyanine Sheet Electrocatalysts for Overall Water Splitting and Metal–Air Batteries: A DFT Investigation

The development of efficient, stable, and cost-effective single-atom catalysts (SACs) is crucial for advancing sustainable energy technologies such as water splitting and metal–air batteries. Two-dimensional (2D) metal phthalocyanine sheets (s-MPc) present a promising platform with their well-defined, high-density active sites, but comprehensive screening for their bifunctional catalytic activity and electrochemical stability is lacking. Herein, we conducted a systematic first-principles density functional theory (DFT) study to screen a series of s-MPc (M = Sc to Zn) as trifunctional electrocatalysts for the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), and oxygen reduction reaction (ORR). Our stability analysis, based on formation energy, dissolution potential, and surface Pourbaix diagrams, identifies s-VPc, s-MnPc, s-FePc, s-CoPc, s-NiPc, and s-CuPc as electrochemically stable across all pH conditions. Catalysts’ performance evaluation reveals distinct optimal candidates: s-MnPc and s-VPc exhibit superior HER activity with near-optimal hydrogen adsorption energies (ΔGH*), while s-VPc and s-CuPc demonstrated outstanding OER performance with low overpotentials of 0.41 and 0.49 V, respectively, rivaling IrO2. For the ORR, s-CoPc and s-MnPc emerge as the most active, with low overpotentials comparable to those of the Pt(111) surface. Consequently, we identify s-VPc as an excellent bifunctional catalyst for the HER/OER and s-CoPc and s-CuPc for the OER/ORR. Supervised machine learning (ML) is employed on a set of atomic and electronic descriptors to classify the efficiency of s-MPc sheets for the HER/OER/ORR, with the KNN model demonstrating superior predictive performance. This work not only highlights specific high-performance s-MPc candidates but also establishes a robust computational framework for the design and screening of durable, high-activity single-atom electrocatalysts.

Authors

Institutions

Publication Details

Journal
Energy & Fuels
Published
2026-04-07
DOI
https://doi.org/10.1021/acs.energyfuels.6c00242
Citations
1
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
5.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rational Design of 3d-Transition Metal Phthalocyanine Sheet Electrocatalysts for Overall Water Splitting and Metal–Air Batteries: A DFT Investigation

D.Z. Xie, Sami Ur Rahman, Shehna Farooq, Abdulwahab Salah et al.
1 citations
Energy & Fuels
Electrocatalysts for Energy Conversion
5.67
article

Rational Design of 3d-Transition Metal Phthalocyanine Sheet Electrocatalysts for Overall Water Splitting and Metal–Air Batteries: A DFT Investigation

D.Z. Xie, Sami Ur Rahman, Shehna Farooq, Abdulwahab Salah, Omme Habiba Abbasi, Adel Al-Salihy, Muhammad Rafiq, Wenjuan Xu, Wenliang Li
article en
1 citations

Abstract

The development of efficient, stable, and cost-effective single-atom catalysts (SACs) is crucial for advancing sustainable energy technologies such as water splitting and metal–air batteries. Two-dimensional (2D) metal phthalocyanine sheets (s-MPc) present a promising platform with their well-defined, high-density active sites, but comprehensive screening for their bifunctional catalytic activity and electrochemical stability is lacking. Herein, we conducted a systematic first-principles density functional theory (DFT) study to screen a series of s-MPc (M = Sc to Zn) as trifunctional electrocatalysts for the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), and oxygen reduction reaction (ORR). Our stability analysis, based on formation energy, dissolution potential, and surface Pourbaix diagrams, identifies s-VPc, s-MnPc, s-FePc, s-CoPc, s-NiPc, and s-CuPc as electrochemically stable across all pH conditions. Catalysts’ performance evaluation reveals distinct optimal candidates: s-MnPc and s-VPc exhibit superior HER activity with near-optimal hydrogen adsorption energies (ΔGH*), while s-VPc and s-CuPc demonstrated outstanding OER performance with low overpotentials of 0.41 and 0.49 V, respectively, rivaling IrO2. For the ORR, s-CoPc and s-MnPc emerge as the most active, with low overpotentials comparable to those of the Pt(111) surface. Consequently, we identify s-VPc as an excellent bifunctional catalyst for the HER/OER and s-CoPc and s-CuPc for the OER/ORR. Supervised machine learning (ML) is employed on a set of atomic and electronic descriptors to classify the efficiency of s-MPc sheets for the HER/OER/ORR, with the KNN model demonstrating superior predictive performance. This work not only highlights specific high-performance s-MPc candidates but also establishes a robust computational framework for the design and screening of durable, high-activity single-atom electrocatalysts.

Energy & FuelsVol. 40(15)
Northeast Normal University (CN), University of Swabi (PK), Laboratoire de Synthèse Organique (FR), Women University Swabi, McGill University (CA)
Jilin Province Development and Reform Commission, National Natural Science Foundation of China
Openalex Percentile: Top 3%
Electrocatalysts for Energy Conversion
5.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.