Lining Yao

620 posts

Lining Yao

Lining Yao

@lining_yao

Assistant Professor @UCBerkeley @Cal_Engineer @BerkeleyME/ Director of Morphing Matter Lab / alum @mit @medialab @cmuhcii/ design sustainable morphing materials

UC Berkeley Katılım Ağustos 2010
612 Takip Edilen3K Takipçiler
Lining Yao retweetledi
Berkeley Engineering
Berkeley Engineering@Cal_Engineer·
This just in: The Winter 2025 issue of Berkeley Engineer can be found at newsstands across UC Berkeley! 🗞️ Can't make it to campus? We also put the whole magazine online: engineering.berkeley.edu/magazine
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Lining Yao
Lining Yao@lining_yao·
Salon Talk on "Cellulosic Self-Shaping: From Body to Building" by Tiffany Cheng, Assistant Professor at Cornell University. This is also a guest lecture for MECENG 292C: Design with Morphing Materials and Mechanisms. Public live stream available! morphingmatter.org/salon/guest-le…
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Lining Yao
Lining Yao@lining_yao·
Overjoyed and beyond proud of Tianyu @TianyuSkai -his very first year as a PhD student at UC Berkeley, and already he has won a Best Paper Award at one of the world’s most prestigious HCI conferences, for work born of his own vision and dedication. Presenting at #UIST2025
Tianyu Yu@TianyuSkai

Exited to share our work MorphingSkin at #uist2025 and so honored with the Best Paper Award🏆! Using flexible electroosmotic pumps, we explores the applications of flexible, skin-like interactive devices featuring multimodal actuations. Check our paper and demo at UIST2025!

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Markus J. Buehler
Markus J. Buehler@ProfBuehlerMIT·
Often, AI generates in silico designs without a manufacturable path & novel materials fail to be actually produced in the lab. In new work we address this weakness with a model that produces both design principles and manufacturing strategies. Using our fine-tuned BioinspiredLLM, agentic workflows & hierarchical reasoning (divergent generation followed by convergent evaluation/refinement) our algorithm mines literature across plant science, biomimetics and materials engineering - to extract structure-property relationships and turns them into hypotheses and lab procedures. Focusing on humidity-responsive systems such as pollen and Rhapis excelsa, we generated and evaluated hundreds of hypotheses from a single query, translating biological mechanisms into tractable material designs with clear manufacturing instructions. We then test the predictions by fabricating a pollen-based adhesive with tunable morphology and measured shear strength, showing that AI-predicted behavior can accelerate real-world materials discovery and enable effective human-AI collaboration. Nice work with our experimental partners led by Nam-Joon Cho at @NTUsg, Subra Suresh and Ming Dao! R. Luu, J. Deng, M. Ibrahim, NJ Cho, M. Dao, S Suresh, M.J. Buehler, Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials, arXiv 2508.06591v1, 2025
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Massimo
Massimo@Rainmaker1973·
The "Erodium Copy" robot.
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Lining Yao
Lining Yao@lining_yao·
@epaulos Have been always wanting to visit the OtherLab. Enjoy the talk!
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Eric Paulos
Eric Paulos@epaulos·
TONIGHT - join me at the OtherLab in SF for a talk as part of the BayCHI series - Plastic Dynamism: Encountering and Designing with Emerging Technologies baychi.org/calendar/20241…
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Lining Yao
Lining Yao@lining_yao·
Participating in Singapore Design Week 2024
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Lining Yao
Lining Yao@lining_yao·
Degrade to Function: This concept challenges the conventional view of degradation as merely an end-of-life process, aiming to create eco-friendly and self-contained morphing devices that operate through a sequence of environmentally-triggered degradations.
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