Identifying Adsorption States of OER Intermediates on Single-Atom Catalysts via a Spectral Machine Learning Framework

Identifying the adsorption states of intermediates in the oxygen evolution reaction (OER) is crucial for revealing the potential-determining step and further optimizing catalytic systems. Infrared (IR) spectroscopy serves as an effective tool for probing oxygen-containing intermediates on electrode...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Fan Wu (43375) (author)
مؤلفون آخرون:	Ke Ye (582694) (author), Jun Jiang (149215) (author)
منشور في:	2025
الموضوعات:	Biophysics Medicine Space Science Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Physical Sciences not elsewhere classified Information Systems not elsewhere classified vibrational mode analysis provide valuable insights property ” relationship optimizing catalytic systems extracting spectral characteristics enables accurate prediction atom catalysts via oxygen evolution reaction infrared signals based identifying adsorption states atom oer systems atom oer catalysts atom catalysts adsorption states “ spectrum spectroscopy serves significant challenge quantitative correlation probing oxygen ooh ). oer intermediates infrared spectra electrode surfaces effective tool determining step
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Identifying Adsorption States of OER Intermediates on Single-Atom Catalysts via a Spectral Machine Learning Framework

مواد مشابهة