Grace X. Gu

University Name

United States

Research Interests

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Articles (25)

Enhancing the fracture resistance of 3D printed Zirconia via gyroid structures

Year:

2025

Multi-objective optimization of three-dimensional riblet surfaces for hydrodynamic and acoustic performance

Year:

2025

Exploring the mechanical properties of aperiodic monotile composite family through Gaussian process regression

Year:

2025

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Year:

2025

Artificial Intelligence and Multiscale Modeling for Sustainable Biopolymers and Bioinspired Materials

Year:

2025

A tunable metamaterial microwave absorber inspired by chameleon’s color-changing mechanism

Year:

2025

Computational challenges in additive manufacturing for metamaterials design

Year:

2024

Simulating CO2 diffusivity in rigid and flexible Mg-MOF-74 with machine-learning force fields

Year:

2024

Towards silent and efficient flight by combining bioinspired owl feather serrations with cicada wing geometry

Year:

2024

Weak-formulated physics-informed modeling and optimization for heterogeneous digital materials

Year:

2024

Aperiodicity is all you need: Aperiodic monotiles for high-performance composites

Year:

2024

Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimization

Year:

2024

Mechanical metamaterials as broadband electromagnetic wave absorbers: investigating relationships between geometrical parameters and electromagnetic response

Year:

2024

Data-driven airfoil shape optimization framework for enhanced flutter performance

Year:

2024

Investigation of mechanical properties and structural integrity of graphene aerogels via molecular dynamics simulations

Year:

2023

Leveraging graph neural networks and neural operator techniques for high-fidelity mesh-based physics simulations

Year:

2023

Monitoring Anomalies in 3D Bioprinting with Deep Neural Networks

Year:

2023

Influence of Radial Stiffness Gradients on Porous Composite Bulk Mechanics

Year:

2023

Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems

Year:

2023

Deep Learning Accelerated Design of Mechanically Efficient Architected Materials

Year:

2023

From Brittle to Ductile: Symmetry Breaking in Strut-Based Architected Materials

Year:

2023

Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO2’s Chemisorption and Diffusion in Mg-MOF-74

Year:

2023

Machine learning enabled optimization of showerhead design for semiconductor deposition process

Year:

2023

Multi Jet Fusion printed lattice materials: characterization and prediction of mechanical performance

Year:

2023

The origin of high-velocity impact response and damage mechanisms for bioinspired composites

Year:

2022

Collaborators (4)

Roya Maboudian

Professor

University of California, Berkeley

UNITED STATES

Seunghwa Ryu

Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

Wonjoon Choi

Korea University

SOUTH KOREA

Sangryun Lee

Assistant Professor

Ewha Womans University

SOUTH KOREA

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