The 8 Best Apps to Track Your Carbon Footprint makeuseof.com/tracking-carbo…

エネルギー効率（気候変動への影響）をもとに世界の車を評価したサイト。上位に日本車がほとんどないのが寂しい。日本の車メーカーはこれまでの判断ミスを生かして巻き返せるか？ fueleconomy.gov/feg/findacar.s… #気候変動 #温暖化

新規記事です📣 【SDGs13】あなたの #気候変動 への影響は？一人ひとりの #温暖化 への影響とその対策 📝記事内容！ ・私達一人ひとりの気候変動への影響は？ ・どんな理由で温室効果ガスは発生するの？ ・どのように対策できる？ sustty-note.com/co2/ ぜひご一読下さい❕ #SDGs #SDGs13

新規記事です📣 【地球予報】温度上昇における影響を温度別に紹介 🌏 温暖化で ・1.5℃：漁獲量が150万トン減少🐟 ・2.0℃：サンゴの99％が死滅🪸 ・3.0℃：栄養不足等で数億人に影響🍚 ・4.0℃なら、、、 sustty-note.com/global-warming… ぜひご一読を。 #SDGs #SDGs13 #気候変動 #FridaysForFuture

Metal-lifespan analysis shows scale of waste nature.com/articles/d4158…

新規記事です📣 【2022年版】人工知能（AI）が #SDGs14 「海の豊かさを守る」におよぼす影響を解説 sustty-note.com/ai-sdgs14/ ・AIと海の豊かさって関係あるの🤔 ・海の世界でAIはどう使われてるの🌊 ・私達にできることは? 是非ご一読下さい🪸 #SDGs #海洋汚染 #プラごみ #マイクロプラスチック

Revealing Mechanistic Processes in Gas-Diffusion Electrodes During CO2 Reduction via Impedance Spectroscopy pubs.acs.org/doi/10.1021/ac…

Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors onlinelibrary.wiley.com/doi/full/10.10…

Neural Network-Assisted Development of High-Entropy Alloy Catalysts: D... sciencedirect.com/science/articl…

Flow Electrolysis Cells for the Synthetic Organic Chemistry Laboratory pubs.acs.org/doi/10.1021/ac…

I am excited to share our perspective "Why big data and compute are not necessarily the path to big materials science" Communications Materials Nature Portfolio. rdcu.be/cUCX0 -Maintain perspective -Openly assess bias -Keep sight of the goal -Dream big enough Enjoy reading📖

A Multifunctional Microfluidic Platform for High‐Throughput Experimentation of Electroorganic Chemistry onlinelibrary.wiley.com/doi/10.1002/an…

Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime onlinelibrary.wiley.com/doi/10.1002/ae…

Assessment of resources and bias, judicious model selection, and an understanding of limitations will help expedite materials discovery by machine learning. Nao Fujinuma @jae3goals Acceleration Consortium (AC) University of Toronto Engineering nature.com/articles/s4324…

Highly Efficient Electrochemical CO2 Reduction Reaction to CO with One‐Pot Synthesized Co‐Pyridine‐Derived Catalyst Incorporated in a Nafion‐Based Membrane Electrode Assembly onlinelibrary.wiley.com/doi/10.1002/ae…

Autonomous materials synthesis by machine learning and robotics. aip.scitation.org/doi/10.1063/5.…

Phoenics: A Bayesian Optimizer for Chemistry pubs.acs.org/doi/10.1021/ac…

Our paper is finally out! We used ML and GA for CO2RR. Happy reading📘 Physics‐Based Human‐in‐the‐Loop Machine Learning Combined with Genetic Algorithm Search for Multicriteria Optimization: Electrochemical CO2 Reduction Reaction onlinelibrary.wiley.com/doi/10.1002/ai… #MachineLearning #CO2

Our review paper about CO2 reduction reaction is out on InorgChemFront! We discussed some aspects to expedite the implementation of CO2RR, selected as a 2023 Inorganic Chemistry Frontiers HOT article and inside front cover. Happy reading📘 #CO2 #catalyst pubs.rsc.org/en/content/art…

I am pleased to share our paper published on Advanced Functional Materials. Advanced Portfolio News onlinelibrary.wiley.com/doi/full/10.10… We developed a catalyst and redox system to promote electrochemical oxidative carbonylation effectively: another highlight of our work at Rowan University.