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Tong Xie

Associate Lecturer

University of New South Wales

Australia

Research Interests

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Professors in Australia Professors in Materials Science Materials Science professors in Australia

Articles (18)

Year:

2026

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2026

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2026

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2026

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2026

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2026

Year:

2026

Year:

2025

Year:

2025

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2025

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2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Collaborators (12)

Jun Yin

Assitant Professor

The Hong Kong Polytechnic University

HONG KONG

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Claudio Cazorla

Professor of Materials Physics

Universitat Politècnica de Catalunya

SPAIN

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CLARA GRAZIAN

Associate Professor

University of Sydney

AUSTRALIA

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Lynda Brinson

Professor

Duke University

UNITED STATES

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Rong Deng

University of New South Wales

AUSTRALIA

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Bram Hoex

Professor

UNSW Sydney

AUSTRALIA

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Ning Song

UNSW Sydney

AUSTRALIA

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Yuan Chiang

University of California, Berkeley

UNITED STATES

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Tom Wu

Chair Professor

The Hong Kong Polytechnic University

CHINA

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Yuyuan Zhao

Professor

University of Liverpool

UNITED KINGDOM

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Joshua Bocarsly

Assistant Welch Professor

University of Houston

UNITED STATES

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Jianhua Hao

Academic Staff (now Chair Professor)

The Hong Kong Polytechnic University

HONG KONG

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Tong Xie

Research Interests

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Articles (18)

Fingerprinting Organic Molecules for the Inverse Design of Two-Dimensional Hybrid Perovskites with Target Energetics.

Dual engine-driven strategy for advanced copper alloy design employing large language models

Automated distillation of composition–processing–structure–performance linkages from fragmented and multi-modal materials literature

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Damage evolution of sandstone under cyclic impact loading and its influence on triaxial compression behavior

Accelerating the discovery of high-efficiency donor–acceptor pairs in organic photovoltaics via SolarPCE-Net guided screening

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition

32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery

Exploring the IL-21/IL-21R Signaling Pathway in Rheumatoid Arthritis: Implications for Synoviocyte Survival and Disease Progression

An overview of high‐throughput synthesis for advanced high‐entropy alloys

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials

Automatically Generated Datasets: Present and Potential Self-Cleaning Coating Materials

Creation of a structured solar cell material dataset and performance prediction using large language models

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model

Tube‐type plasma‐enhanced atomic layer deposition of aluminum oxide: Enabling record lab performance for the industry with demonstrated cell efficiencies >24%

Collaborators (12)

Jun Yin

Claudio Cazorla

CLARA GRAZIAN

Lynda Brinson

Rong Deng

Bram Hoex

Ning Song

Yuan Chiang

Tom Wu

Yuyuan Zhao

Joshua Bocarsly

Jianhua Hao

Make your next move.

Tong Xie

Research Interests

Explore related searches

Articles (18)

Fingerprinting Organic Molecules for the Inverse Design of Two-Dimensional Hybrid Perovskites with Target Energetics.

Dual engine-driven strategy for advanced copper alloy design employing large language models

Automated distillation of composition–processing–structure–performance linkages from fragmented and multi-modal materials literature

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Damage evolution of sandstone under cyclic impact loading and its influence on triaxial compression behavior

Accelerating the discovery of high-efficiency donor–acceptor pairs in organic photovoltaics via SolarPCE-Net guided screening

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition

32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery

Exploring the IL-21/IL-21R Signaling Pathway in Rheumatoid Arthritis: Implications for Synoviocyte Survival and Disease Progression

An overview of high‐throughput synthesis for advanced high‐entropy alloys

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials

Automatically Generated Datasets: Present and Potential Self-Cleaning Coating Materials

Creation of a structured solar cell material dataset and performance prediction using large language models

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity

Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model

Tube‐type plasma‐enhanced atomic layer deposition of aluminum oxide: Enabling record lab performance for the industry with demonstrated cell efficiencies &gt;24%

Collaborators (12)

Jun Yin

Claudio Cazorla

CLARA GRAZIAN

Lynda Brinson

Rong Deng

Bram Hoex

Ning Song

Yuan Chiang

Tom Wu

Yuyuan Zhao

Joshua Bocarsly

Jianhua Hao

Make your next move.

Tube‐type plasma‐enhanced atomic layer deposition of aluminum oxide: Enabling record lab performance for the industry with demonstrated cell efficiencies >24%