Grace Gu

Research Expertise and Interest

Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, and bioinspired materials

Research Description

The Gu Research Group is dedicated to advancing materials design and manufacturing fields through the integration of mechanics, bioinspiration, additive manufacturing (AM), and artificial intelligence (AI). Our goal is to elucidate the process-structure-property relationships that enable the design and manufacture of high-performance, sustainable, and adaptable materials for diverse applications. To address the challenge of high-dimensional design spaces, we integrate AI-driven generative models with computational mechanics. This synergy allows systematic exploration of vast and complex domains, identifying multiple material configurations that meet specific property requirements. Bioinspiration is another cornerstone of our research; by drawing inspiration from nature, such as the unique properties of shark skin and owl feathers, we create sustainable, lightweight, and multi-functional devices. Leveraging these natural templates reduces the complexity of design spaces, enabling more efficient exploration and identification of feasible material configurations. AM serves as the enabling technology that transforms these AI-generated or bioinspired designs into tangible structures, providing precise control over geometries with minimal waste. We employ AI-driven real-time feedback within AM processes to predict and detect potential defects, allowing adjustment of process parameters to correct anomalies as they arise. Our group focuses on three directions to accelerate innovations in materials design and manufacturing: (1) AI-driven additive manufacturing, centered on optimizing process-structure-property relationships; (2) Generative AI for materials design, focused on exploring vast design spaces to reveal new structures and material behaviors; and (3) Bioinspiration for advanced materials, drawing from natural systems to inspire engineering solutions. Together, these form a cohesive framework driving innovation toward creating resilient, sustainable materials and greener manufacturing technologies to meet the pressing challenges of our time.

In the News

Bakar Fellows Program Names Seven New Spark Award Recipients

From artificial ligaments and a novel approach to cancer treatment to “soft” batteries and a way to give voice to silent speech, new innovations from UC Berkeley faculty are getting a big vote of support from the Bakar Fellows program. Seven faculty members have been selected to receive the 2022 Bakar Fellows Spark Award, which is designed to accelerate faculty-led research and produce tangible, positive societal impact through commercialization.

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
April 25, 2019
Sarah Saunders
Assistant mechanical engineering professor Grace X. Gu is among six women scholars awarded this year's batch of WiSTEM2D Scholars Awards, in a program designed to increase the representation and leadership of women in STEM fields. Professor Gu was recognized for her development of a smarter, more efficient 3D printer that can self-correct while printing. For more about Professor Gu, see this brief profile at Berkeley News.
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