Huizhong Ma, Yulong Wang, Lingling Sun, Chunyan Wang, Liwei Wang, Zhuang Ma, Honglei Yuan and Jin Feng
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Precisely tuning band gaps of graphene/h-BN lateral heterostructures toward enhanced photocatalytic hydrogen evolution†
Constructing heterojunctions is a proven strategy for developing efficient photocatalytic hydrogen evolution catalysts. In this work, we design graphene/hexagonal boron nitride (h-BN) lateral heterostructures that combine graphene's exceptional charge transport with h-BN's stability. Using state-of-the-art many-body green's function theory (MBGFT) simulations, we establish a band engineering framework through dimensional control, demonstrating that precise modulation of graphene and h-BN domain sizes enables continuous visible-spectrum band gap tuning for efficient hydrogen generation. The prototypical 66BN-33Gr heterostructure exemplifies this tunability, exhibiting an optimal optical band gap of 2.00 eV with superior photon harvesting characteristics. Notably, this catalyst demonstrates remarkably low exciton binding energies in the visible region, ensuring efficient charge separation. Mechanistic studies of the hydrogen evolution reaction (HER) disclose an exceptionally small energy barrier (0.21 eV) in photoexcited states, thermodynamically favoring spontaneous hydrogen generation. Furthermore, the AA-stacked architecture exhibits remarkable band gap modulation capabilities, enabling broadband optical absorption spanning the visible to near-infrared spectral regions. These fundamental insights lay the theoretical foundation for rationally engineering graphene/h-BN heterostructures as efficient photocatalytic hydrogen evolution catalysts.
期刊介绍:
Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions.
The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.