Xiaonan Wang

Associate Professor of Chemical Engineering at Tsinghua and the National University of Singapore. Leading the team of #SmartSystemsEngineering she/her/hers

[Xiaonan Wang @xnwang07]

Out now in Nature Computational Science: SurFF: a foundation model for surface exposure and morphology across intermetallic crystals. DFT-like accuracy with ~10^5× speed-up; scaled to 6k+ and new crystals; data & code open. Read: https://t.co/wen4dlM1Ol #MaterialsAI #Catalysis

[Xiaonan Wang @xnwang07]

👉 Dive into the feature article: https://t.co/6VKzEWA14E
It is a great honor and pleasure to be featured in the first anniversary issue of Nature Chemical Engineering @NatChemEng , sharing our perspective on "AI as Alchemist": Turning data into discovery!

[Michael C. Jewett @MichaelCJewett]

What is the future of chemical engineering? How will we enable the next innovations for molecular transformations at scale? @NatChemEng highlights some exciting new technologies from artificial intelligence to electrochemistry to synthetic biology…

https://t.co/XL38rLFtYE

[Environmental Science & Technology Journals @EnvSciTech]

🔔 @xnwang07 and Yong Sik Ok demonstrate a data-driven workflow to accelerate the development of high-performance engineered #biochar with enhanced #CO2uptake. @Tsinghua_Uni

Read more in ES&T: https://t.co/btzpZIzwIc

[Xiaonan Wang @xnwang07]

It is my great pleasure to join the prestigious RSC journal Sustainable Energy & Fuels as an advisory board member. Looking forward to growing with the Journal and the Community, furthering our shared goal of advancing #SustainableEnergy solutions.

[RSC Energy Journals @RSC_Energy]

We are delighted to announce that Dr Xiaonan Wang @xnwang07 @Tsinghua_Uni has been appointed as a new Sustainable Energy & Fuels Advisory Board member. 👏

Learn more about the Sustainable Energy & Fuels Advisory Board 🔗 https://t.co/8M1Ljy2YbH

#SEFJournal

[Environmental Science & Technology Journals @EnvSciTech]

In ES&T, @YongSikOk2 @xnwang07 and team show that active learning accelerates synthesis of engineered #Biochar with desired textural properties for improved #CO2capture #environmetalsustainability

Open access👉 https://t.co/Ze4uVqJAdX

[Nature Synthesis @NatureSynthesis]

Now online:

News & Views on the Article by @jionglu_NUS @xnwang07 Chun Zhang & co-workers @NUSingapore
@Tsinghua_Uni

https://t.co/tHnCmiWBA1 ($)

Single-molecule chemistry with a smart robot by Zilin Ruan and Michael Gottfried @GottfriedGroup

https://t.co/l9xougQvuI ($)

[Xiaonan Wang @xnwang07]

@BenBlaiszik This is amazing... Curious if Claude was trained with literature database including this paper? Even more curious if RAG was implemented when chatting ;)

[Xiaonan Wang @xnwang07]

Our #AIforScience platform is functioning more and more effectively and intelligently towards lots of intuitions and knowledge discovery in various materials systems! Congrats team! Take a read and expect more to come ;)

[Jiong Lu @jionglu_NUS]

Atomic robotic probe with chemists' intuition! Our latest work out @NatureSynthesis , Great collaboration with @xnwang07 from @Tsinghua_Uni , Zhang group from @ResearchFoS, Congrats Jie, Jiali, Na @ChemNUS, I-FIM @NUSResearch ! 👇👇https://t.co/oQ5AsWqSgx

[Top Science @isciverse]

Atomic Design of Alkyne Semihydrogenation Catalysts via Active Learning

@J_A_C_S #Chemistry #Science

https://t.co/mpvTFX1Vys

[Xiaonan Wang @xnwang07]

Check out our latest review on @acsnano discussing "#AI for #Nanomaterials Development in #CleanEnergy and Carbon Capture, Utilization and Storage (#CCUS)" https://t.co/StxF7ql6lg Embrace the "emergence" of large language models (#LLMs) in future #AIforScience applications!

[Tsinghua University @Tsinghua_Uni]

As we integrate #AI into our lives, how can we make the most of this technology? According to Dr. Wang Xiaonan from the Department of Chemical Engineering, building "GPT" models for carbon neutrality and new materials is one way. #NextGen #ShePower

[MRS Bulletin @MRSBulletin]

Using various methods, #intelligentlaboratories can autonomously carry out designed experiments and make scientific discoveries. This #MRSBulletin article discusses current applications and future opportunities of this paradigm. #AI @xnwang07

https://t.co/PQ72l0UOOY

[Keith A Brown @KABrownLab]

Our issue of @MRSBulletin on AI in experimental materials research is now out!

Co-editor @Milad_RoboChem and excellent contributions from @TheBerlinguette, Marcus Noack & @CSMSLab, @ProfGraceGu, @xnwang07, and @Robo_Perovskite!

Check out our overview https://t.co/ePzmCeSiMB

[Xiaonan Wang @xnwang07]

Looking forward to the 27th Annual Green Chemistry & Engineering Conference! The award quotation very much motivates us to deliver more exciting work crossing disciplines in #AIforScience and #AI4Good, and to share it with as many people as possible.

[ACS Green Chemistry Institute @ACSGCI]

We are thrilled to have Profs. Xianon Wang @xnwang07, Kevin Leonard @LeonardLabKU, and Gyorgy Szekely @SzekelyGroup speak at the #gcande conference in partnership with @ACSSustainable! https://t.co/wgZcPzSVqZ

[Xiaonan Wang @xnwang07]

My most sincere gratitude goes out to my colleague Ning @Ning_Yan_Lab for nominating me for this prestigious award. I still remember the joy to present at the 2018 ACS special symposium to celebrate the award for him! The inspiration is passed on!😊

[Xiaonan Wang @xnwang07]

My great pleasure and honor to receive this prestigious ACS SCE award, which has been my dream since I started my independent research career and founded our #SmartSystemsEngineering group six years ago. Many thanks to my colleagues and friends for the recognition and support!

[ACS Sustainable Journals @ACSSustainable]

AWARD ANNOUNCEMENT! 🚨

HUGE CONGRATS to the winners of the 2023 ACS SCE Lectureships:

Xiaonan Wang @xnwang07 
Kevin Leonard @LeonardLabKU 
Gyorgy Szekely @SzekelyGroup 

They will present at GC&E Conf in June @ACSGCI. Editorial from our EIC Dave Allen:

https://t.co/VICyY11Flg

[Xiaonan Wang @xnwang07]

@Shouliang_Yi Thank you Shouliang! Very happy and honored to have your support!

[Xiaonan Wang @xnwang07]

@QMADClab Thank you Jiong for the fantastic collaboration and friendship!

[Xiaonan Wang @xnwang07]

@CranfordMATTER Should we submit our new "AI4S" papers to Patterns instead of Matter in the remaining time of 2022?😌

[Xiaonan Wang @xnwang07]

@maria_papathan @EPSRC Congratulations Maria! Great job!