Digital Materials Lab (Hao Li Lab)
@HaoLiLab_DigCat
Distinguished Professor of WPI-AIMR, Tohoku University, Japan Head of the Digital Materials Lab (DigMat)
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Our new work published in Science Bulletin! @TohokuUnivAIMR "Non-directly bonded single-atom pairs towards H2/CO electrooxidation" - Science Bulletin sciencedirect.com/science/articl…
Our new work published in JACS! @J_A_C_S @TohokuUnivAIMR "Atomic Eu Substitution in Cu2O Tailors C1 and C2+ Product Selectivity by Frustrated Deep Hydrogenation in Electrochemical CO2 Reduction" - Journal of the American Chemical Society pubs.acs.org/doi/full/10.10…
Our new review paper published as well! @TohokuUnivAIMR "Machine Learning-Driven Advances in Water Treatment" - Journal of Environmental Chemical Engineering sciencedirect.com/science/articl…
Our new Review article published in JMCA! @TohokuUnivAIMR "Recent advances in the application of transition metal-based catalysts in electrocatalytic ammonia synthesis and C–N bond formation" - Journal of Materials Chemistry A pubs.rsc.org/en/content/art…
Thank you for highlighting our work on NO3RR!
Prof. Li @HaoLiLab_DigCat of AIMR and his team have developed an electrocatalyst that helps turn nitrate—a common pollutant found in groundwater and agricultural runoff—into ammonia under far milder conditions. 👉wpi-aimr.tohoku.ac.jp/en/achievement… Original Article doi.org/10.1002/adfm.2…
Our AI Agent journal, where I serve as the Editor-in-Chief, published a new Commentary paper by Prof. Jiayu Peng! @ai_aiagent @OAE_Publishing @peng_jiayu "Accelerating multimetallic catalyst discovery with robotics and agentic AI" - AI Agent oaepublish.com/articles/aiage…
📢 Call for Papers – AI Agent 👏👏👏We welcome high-quality research on intelligent agents — AI systems that perceive, reason, learn, and act autonomously. 🔗 Author instructions：oaepublish.com/aiagent/author… 🔗 Submit: oaepublish.com/aiagent ✉ E-mail: [email protected]
Our AI Agent journal, where I serve as the Editor-in-Chief, published the first social science paper (AI Agent for Law): @OAE_Publishing @ai_aiagent "From single-agent to multi-agent: a comprehensive review of LLM-based legal agents" - AI Agent oaepublish.com/articles/aiage…
Thank you very much for highlighting our new work on CER catalyst design!
Prof. Li @HaoLiLab_DigCat of AIMR and his research team have applied a data-driven and theory-guided approach to identify new catalyst candidates that do not require noble metals such as ruthenium and iridium. 👉wpi-aimr.tohoku.ac.jp/en/achievement… 📘Original Article doi.org/10.1002/adfm.2…
Thank you for highlighting our work on AI for hydrogen storage materials!
Dr. Jang, Prof. Li, Prof. Orimo, and researchers at Tohoku Univ. have used a newly established data infrastructure: DigHyd, to help accurately predict performance metrics of hydrogen storage materials. The findings were published in @ChemicalScience. 👉wpi-aimr.tohoku.ac.jp/en/achievement…
Our Invited Perspective is highlighted as the Front Cover Image in JMCA! "Decoding pH-dependent electrocatalysis through electric field models and microkinetic volcanoes" - Journal of Materials Chemistry A pubs.rsc.org/en/content/art…
Prof. Chaoyue Zhao and her team from University of Washington @UW visited WPI-AIMR and our lab, and provided an excellent seminar talk entitled "Distributionally Robust Optimization: Theory, Guarantees, and Cross-Domain Application"! @TohokuUnivAIMR
Thank you for highlighting our new work! Using catalysis theory, we successfully predicted and experimentally validated the first-ever non-noble oxide catalyst for electrolytic propylene epoxidation.
Prof. Li @HaoLiLab_DigCat from AIMR and his team have discovered a new way to make valuable industrial chemicals from propylene using a common, low-cost material: lead dioxide (PbO₂). 👉wpi-aimr.tohoku.ac.jp/en/achievement… 📘Original Article doi.org/10.1039/D5CY01…
Thank you for highlighting our work!
Dr. Liu, Prof. Li @HaoLiLab_DigCat and researchers have demonstrated an effect that influences the stability of catalysts – the key to making oxygen evolution reaction more efficient. 👉wpi-aimr.tohoku.ac.jp/en/achievement… 📘Original Article doi.org/10.1038/s41467…
Our new work funded by the JST-GteX is published! We found explainable physical forms for hydrogen storage materials. "Physically interpretable descriptors drive the materials design of metal hydrides for hydrogen storage" -Chemical Science pubs.rsc.org/en/content/art…
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