Our new collaborative work published in Advanced Materials! @TohokuUnivAIMR
"Lattice‐Engineered Dual‐Electron‐Drive Electrode for Selective Ammonia Production From Nitrate" - Advanced Materials - Wiley Online Library https://t.co/qWYW0HTgPt
Prof. Hao Li of AIMR and his team have found a method to enhance ORR activity using a catalyst with a precise iron (Fe) configuration. This efficient, sustainably sourced material is fine-tuned to bring out the true potential of zinc-air batteries.
👉https://t.co/iqTNXQMVeG
Our new review article is online in Chemical Science! @TohokuUnivAIMR@ChemicalScience
"Localized hetero-ion modulation engineering over nickel-based catalyst for electrochemical urea oxidation" - now published in Chemical Science https://t.co/hnHupF1j4d
Researchers have developed a new artificial intelligence-powered platform that could speed up the discovery of catalysts for methane pyrolysis. #CatalystDiscovery#AIPoweredResearch#TohokuUniversity
https://t.co/Ql8EydisBr
Exciting new research led by Prof. Hao Li @HaoLiLab_DigCat of AIMR explains how to transform decades of scattered literature data into computable design rules for catalysts.
👉https://t.co/hZHyKrSQQn
📘Original Article
https://t.co/BlgFN3KX5d
Our new work published in Angew Chem! @TohokuUnivAIMR@angew_chem
"Modulating Ni‐O‐V Bridges in NiV‐Layered Double Hydroxides Microspheres for Robust Electrocatalytic Coupling of 1,5‐Pentanediol Oxidation and Nitrate Reduction" - Angewandte Chemie https://t.co/4H3Vx7CG5u
Our new catalyst design work published in Angew Chem! @TohokuUnivAIMR@angew_chem
"Data‐ and Theory‐Guided Design of Dual‐Role V‐Doped RuO2 for High‐Performance Acidic Oxygen Evolution" - Angewandte Chemie International Edition - Wiley Online Library https://t.co/0XWVNSzKdm
New Perspective by the team from BUCT, is published in our《AI Agent》journal! @ai_aiagent
"From unstructured to structured: opportunities, risks and engineering practices for LLM-based data extraction in chemistry and materials" - AI Agent
https://t.co/ihyt4N3Zpc
Join the AI Agent · π Webinar with researcher Yuanzheng Chen from Southwest Jiaotong University!
⏳ 4DAY LEFT! Don’t Miss Out!
📷Register to Attend: https://t.co/r6oNhkqgU8
#AIAgent#AIformaterials
Prof. Hao Li @HaoLiLab_DigCat of AIMR and his research team have developed a new artificial intelligence-powered platform that could significantly speed up the discovery of catalysts for methane pyrolysis.
👉https://t.co/uYhZ6bvG3o
📘Original Article
https://t.co/3zQh0BN17Q
Our AI for Hydrogen Storage work is officially online! @ChemicalScience
"A unified descriptor framework for hydrogen storage capacity and equilibrium pressure in interstitial hydrides" - now published in Chemical Science https://t.co/gu3pncSvIA
Excited to share that our work on discovering RbSbWO6, a stable low-cost bifunctional oxide catalyst for acidic water splitting, has been selected as
"2025 World's Top 10 Progress in AI for Materials"
by OAE Publishing!
https://t.co/ACBah2P4sh
Our previous work published by Angew Chem (https://t.co/SFgvs4T40k) is now highlighted by《AI Agent》:
"A closed-loop universal catalyst design workflow ready for AI agents" - AI Agent @ai_aiagent
https://t.co/TNR0TEFz4d
《AI Agent》journal published a new paper:
"An energy-efficient scheduling approach for wind-solar-hydrogen systems based on distributed reinforcement learning" - AI Agent @ai_aiagent
https://t.co/aC1pS29PD0
📢 New Article Published in AI Agent
Researchers propose a CNN-MTD3 framework for integrated energy system scheduling, combining DRL, load clustering, CNNs, and expert knowledge for year-round energy optimization.
Read the article: https://t.co/35G8n5St3P
📢 New Article Published in AI Agent
“AI agents as co-designers of catalysts: a paradigm shift for designing Cu-based single-atom alloy catalysts in CO2 electrored”
Read the article: https://t.co/f9TcvmLSYb
Our《AI Agent》journal published a new Research Highlight, by the author from CNR-ICCOM, Italy! @ai_aiagent
"AI agents as co-designers of catalysts: a paradigm shift for designing Cu-based single-atom alloy catalysts in CO2 electroreduction" - AI Agent
https://t.co/jDEPJIKZ6l
Prof. Hao Li and his research team have developed a new way to improve solid-state magnesium batteries—long considered a promising next-generation energy technology. The results were published in @ACSEnergyLett.
👉https://t.co/K2Bg9R0c8c
Original Article
https://t.co/Y6O1qAuVps