@Zhiqiang_Niu Profile picture

Zhiqiang Niu

@Zhiqiang_Niu

Lecturer in sustainable transport technologies at Loughborough University

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Zhiqiang Niu Reposted

Hot off the press from Adv. Energy Materials: mechanistic insights into the role of external pressure on transport/reaction interactions in solid-state cathode-work by @Kaustubh_Naik_ & @manojcct - great collab w/@dasgroupta group - funded by MUSIC EFRC @doescience @etslpurdue

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Zhiqiang Niu Reposted

Meet one of the 14 innovators from our latest Technology Developer Accelerator Programme (TDAP) - @PolaronAI Polaron is accelerating the design of advanced materials using generative AI technology. ⚡ Discover more about our new cohort 👉 okt.to/Nmyzhq


Zhiqiang Niu Reposted

Our researchers developed FerroX, a new open-source, 3D simulation framework that could advance record-breaking #EnergyEfficiency in #microelectronics! @UCBerkeley @doescience newscenter.lbl.gov/2024/09/12/new…

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Zhiqiang Niu Reposted

🔍 Looking for an insight into the technology trends and forecasts for automotive propulsion systems to 2050? Then download the @AutoCouncilUK Roadmaps, released today. They're an essential tool in identifying the path to a net-zero future. 👉 okt.to/cTXhSb

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Truly grateful for all my nice collaborators! The work wouldn’t come without your valuable input!@ValeriePinfield

GLIDER – a scalable, tunable and transferable deep generative #ArtificialIntelligence digital tool for the designing and optimization of multi-scale hydrogen #FuelCellCatalyst layer #nanostructures. @Zhiqiang_Niu @lborouniversity @UCIrvine Cover story: go.acs.org/aud

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Zhiqiang Niu Reposted

New @Joule_CP study: electrification is 3-8X more efficient than H2 / e-fuels across 25 pathwyas in land air, marine transport. Underscores the value of electrification for reducing total energy use. And: So. Many. Sankeys. Will keep this on my desktop cell.com/joule/fulltext…


Zhiqiang Niu Reposted

Congratulations to Steve Kench, co-founder & CTO of @PolaronAI, for winning the 2024 @FaradayInst Innovation Award! 🏆👏 IP generated during his PhD research on generative AI formed the basis of the spin-out ➡️faraday.ac.uk/steve-kench-aw…

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Zhiqiang Niu Reposted

#AI will soon power our universities, transforming the way we undertake research and educate students. Join Academy Fellow Professor Nick Jennings on 10 October as he explores what AI can do for the sector: raeng.org.uk/events/2024/oc…

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Zhiqiang Niu Reposted

Could watch this for hours 😵‍💫 Explore the latest sustainable solutions and alternative energy sources at #ExRdFest's Energise Zone ow.ly/wPEu50SjyR7


Zhiqiang Niu Reposted

Exciting News!! UK-HyRES Co-Director, Professor Shanwen Tao, is set to Deliver Plenary Lecture at the 3rd Ammonia Energy Symposium! Scheduled from September 23rd to 26th in Shanghai, this symposium is organised by Shanghai Jiao Tong University (Shanghai Jiao Tong University)…

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Zhiqiang Niu Reposted

How do we create a trustworthy human-AI partnership? Professor Nick Jennings (@LboroVC) believes that exploring how #AI systems can better partner with people deserves more study. Find out more in his blog post on #EngineeringResponsibleAI: raeng.org.uk/blogs/ai-blog-…

AI researchers build ‘future self’ chatbot to inspire wise life choices dlvr.it/T7rYf5



Zhiqiang Niu Reposted

📢 𝐓𝐰𝐨 𝐰𝐞𝐞𝐤𝐬 𝐥𝐞𝐟𝐭 𝐭𝐨 𝐬𝐞𝐜𝐮𝐫𝐞 𝐨𝐮𝐫 𝐄𝐚𝐫𝐥𝐲 𝐁𝐢𝐫𝐝 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐫𝐚𝐭𝐞! 💰 Save up to £50 by registering for our #Faraday2024 Conference (10-12 Sept, @UniofNewcastle by end of 17 June! 👉 More info and to register:…

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Zhiqiang Niu Reposted

Excited to hear keynote @YingShirleyMeng discuss materials chemistry and interfacial science for better batteries at @CellSymposia #CSElectricvehicles24 May 20–22, 2024, Ann Arbor, MI, USA hubs.li/Q02mdm-s0

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Zhiqiang Niu Reposted

The latest paper by Diego Galvez Aranda and part of our group has made it to the inside front cover of @Wiley_Chemistry's Advanced Energy Materials, what an accomplishment! I'm proud to have been able to contribute to this exciting work onlinelibrary.wiley.com/doi/10.1002/ae…

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Zhiqiang Niu Reposted

Here’s our new computer vision system achieving state of the art results in image segmentation, without needing any labeled training data. This new model was trained on random, unlabeled data, but quickly achieved state-of-the-art results. It’s awesome.


Zhiqiang Niu Reposted

What is in common between CNNs, GNNs, LSTMs, Transformers, DeepSets, mesh CNNs? In a new post with @joanbruna @TacoCohen @PetarV_93 we show this zoo of neural nets can be seen through the lens of symmetry. #geometricdeeplearning is all you need! tinyurl.com/b53bvwbx

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