Lifu Zhou. Pforzheim University School of Design. New Talents Award Nominee 2022
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Published: 19.12.2022
- Edited by:
- Klimt02
- Edited at:
- Barcelona
- Edited on:
- 2022
The 8th edition of the New Talents Award by Klimt02 aims to recognize the work of graduate students in our field by supporting their careers in the professional world. Nominated by our school members, one of the selected graduates will win the New Talents Award.
Lifu has remained true to what he does in his final thesis as well and has convinced us with his usual quality and inventive spirit.
Name of graduation student: Lifu Zhou
Name of guiding teacher: Prof. Christine Lüdeke, Prof. Andi Gut.
Nominated by Pforzheim University School of Design.
Lifu has always pushed materials, technology, and content to the limits during his studies. He has remained true to what he does in his final thesis as well and has convinced us with his usual quality and inventive spirit.
/ Professor Andi Gut
Statement of the artist:
Lifu Zhou explores in his graduation work "Generative Design + Craft" the transformative potential of both. A dialog between the virtual and the physical world is achieved through the interplay of craftsmanship with the latest technologies such as generative adverse networks and parametric design, which also addresses the greater human need for individuality in a postmodern society—using GAN as an inspiration generator for a host of new visual variants by machine learning pictures of a large number of minerals and corals. 3D printing turns digital images into physical artifacts. These form a base on which he interacts with a biodegradable material made of tapioca starch. Continuously experimenting with the material’s various properties such as translucency, stretchability, kneadability, adhesiveness, shrinkage, and solidity equally generates a series of visual languages and forms. The combination of material-adaptive analog manipulation in contrast to the logic and controllability of 3d printed shapes results in a fusion of sensuality and rationality, digital and physical, tradition and innovation. The initial images generated by GAN are composed of pixels from the digital images and fluorescent colors from the features of the corals and minerals from which GAN learns. Both attributes become essential in the character of the jewelry pieces - from the underlying 3D printed structure to the unexpected vibrant colors that are revealed in the tapioca-based material in the dark or under ultraviolet light.
Contact:
Email: lifuzhou.jewelry@gmail.com
Instagram: @lifuzhou_
Website: www.lifuzhou.com
Find out more about Pforzheim University School of Design
Name of guiding teacher: Prof. Christine Lüdeke, Prof. Andi Gut.
Nominated by Pforzheim University School of Design.
Lifu has always pushed materials, technology, and content to the limits during his studies. He has remained true to what he does in his final thesis as well and has convinced us with his usual quality and inventive spirit.
/ Professor Andi Gut
Statement of the artist:
Lifu Zhou explores in his graduation work "Generative Design + Craft" the transformative potential of both. A dialog between the virtual and the physical world is achieved through the interplay of craftsmanship with the latest technologies such as generative adverse networks and parametric design, which also addresses the greater human need for individuality in a postmodern society—using GAN as an inspiration generator for a host of new visual variants by machine learning pictures of a large number of minerals and corals. 3D printing turns digital images into physical artifacts. These form a base on which he interacts with a biodegradable material made of tapioca starch. Continuously experimenting with the material’s various properties such as translucency, stretchability, kneadability, adhesiveness, shrinkage, and solidity equally generates a series of visual languages and forms. The combination of material-adaptive analog manipulation in contrast to the logic and controllability of 3d printed shapes results in a fusion of sensuality and rationality, digital and physical, tradition and innovation. The initial images generated by GAN are composed of pixels from the digital images and fluorescent colors from the features of the corals and minerals from which GAN learns. Both attributes become essential in the character of the jewelry pieces - from the underlying 3D printed structure to the unexpected vibrant colors that are revealed in the tapioca-based material in the dark or under ultraviolet light.
Contact:
Email: lifuzhou.jewelry@gmail.com
Instagram: @lifuzhou_
Website: www.lifuzhou.com
Find out more about Pforzheim University School of Design
Brooch: Generative Design + Craft , 2022
3D printed, tapioca-based materials.
8 x 20 cm
Photo by: Petra Jaschke
Brooch and object.
© By the author. Read Klimt02.net Copyright.
Brooch: Generative Design + Craft , 2022
3D printed, tapioca-based materials.
8 x 20 cm
Photo by: Petra Jaschke
Alternative view.
Brooch and object.
© By the author. Read Klimt02.net Copyright.
Brooch: Generative Design + Craft , 2022
3D printed, tapioca-based material.
12 x 15 cm
Photo by: Petra Jaschke
Brooch and object.
© By the author. Read Klimt02.net Copyright.
Brooch: Generative Design + Craft , 2022
3D printed, tapioca-based material.
8 x 20 cm
Photo by: Petra Jaschke
Brooch and object.
© By the author. Read Klimt02.net Copyright.
- Edited by:
- Klimt02
- Edited at:
- Barcelona
- Edited on:
- 2022
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