Yihe Zhang

Lecturer

RMIT University

Australia

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About

Dr. Yihe Zhang is a Lecturer at RMIT University in Australia. His research interests encompass climate change and its impacts on vegetation and habitat suitability, as evidenced by his recent work on global warming-driven habitat changes and the climatic responses in the Qinghai–Tibet Plateau. Additionally, he explores advancements in thermoelectric power generation and innovative materials, including graphene composites and metamaterials.

Articles (15)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (3)

Jie Yang

AUSTRALIA

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Yingyan Zhang

Associate Professor

RMIT University

AUSTRALIA

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Bill Murari

University of South Australia

AUSTRALIA

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Yihe Zhang

Research Interests

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About

Articles (15)

Global Warming-Driven Changes in the Suitable Habitat of <i>Ostryopsis davidiana</i> (Betulaceae) Shrubs

Climatic Changes and Vegetation Responses During Holocene Characteristic Period in the Northeastern Qinghai–Tibet Plateau

Advancements in Integrated Thermoelectric Power Generation and Water Desalination Technologies: A Comprehensive Review

Climate Change Drives Shifts in Suitable Habitats of Three <i>Stipa purpurea</i> Alpine Steppes on the Western Tibetan Plateau

Global Warming and Landscape Fragmentation Drive the Adaptive Distribution of <i>Phyllostachys edulis</i> in China

Aeroelastic analyses of functionally graded aluminium composite plates reinforced with graphene nanoplatelets under fluid-structural interaction

Fracture resistance of graphene origami under nanoindentation

Nonlinear band gap characteristics of piezo-electro-magnetic phononic crystal micro and nanobeams based on size-dependent continuum mechanics models

Vibrational characteristics of functionally graded graphene origami- enabled auxetic metamaterial beams with variable thickness in fluid

A functionally graded auxetic metamaterial beam with tunable nonlinear free vibration characteristics via graphene origami

Buckling of functionally graded hydrogen-functionalized graphene reinforced beams based on machine learning-assisted micromechanics models

Data-driven modeling for thermo-elastic properties of vacancy-defective graphene reinforced nanocomposites with its application to functionally graded beams

Functionally graded graphene origami-enabled auxetic metamaterial beams with tunable buckling and postbuckling resistance

Genetic programming-assisted micromechanical models of graphene origami-enabled metal metamaterials

Machine learning assisted prediction of mechanical properties of graphene/aluminium nanocomposite based on molecular dynamics simulation

Collaborators (3)

Jie Yang

Yingyan Zhang

Bill Murari

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