Jack Yang

Jianliang "Jack" Yang is a Senior Lecturer at the School of Materials Science & Engineering and the Materials and Manufacturing Futures Institute (MMFI) at the University of New South Wales (UNSW). His research focuses on computational chemistry and materials science, particularly on structural-property relationships in organic and inorganic systems, electron-phonon interactions, and machine learning-driven discovery of catalytic and energy materials. He employs high-throughput simulations to predict materials before experimental validation.

• Education
  • 2010: PhD in Materials Science & Engineering, UNSW
  • 2010: Graduate Certificate in Research Management & Commercialization, UNSW
  • 2007: BSc (Nanotechnology, First Class Honors), UNSW

Research Interests: Dr. Yang's work spans computational modeling of materials, emphasizing crystal symmetries, lattice energy landscapes, and thermodynamic stability. He investigates perovskite oxides for solar cells, MoS2 nanosheets for hydrogen evolution, and flexible battery electrodes. His group pioneers machine learning integration with quantum mechanics to accelerate materials discovery.

Publication Trends: His recent articles (2022–2025) highlight advancements in electrocatalysts for water splitting, perovskite stability in energy applications, and quantum dot synthesis for optoelectronics. Machine learning and high-throughput simulations are recurring themes across catalytic, thermoelectric, and dielectric materials.

Scientific Awards:

• 2020: Postgraduate Council Research Supervisor Award (UNSW)

Grants:

• 2021: UNSW Science Faculty Research Grant ($4,000) for solid catalysts in solarthermal ammonia synthesis
• 2020: UNSW MMFI Seed Funding ($20,000) for ternary oxide catalysts