인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Accurate free‐energy landscapes are essential for understanding electrocatalytic processes, especially those involving proton–coupled electron transfer. While density functional theory (DFT) is widely used to model such reactions, it often introduces significant errors in the computed free energies of gas‐phase reference molecules, leading to inconsistencies in the derivation of the free‐energy changes of the elementary reaction steps. This study presents and compares different correction schemes to address gas‐phase DFT errors. Unlike conventional methods that rely on bond–order–based adjustments, this approach reconstructs the formation free energy of target molecules as a linear combination of theoretically determined formation free energies of carefully selected reference molecules. This framework ensures consistency across the reaction network while avoiding dependence on the bond order. This methodology applies to the nitrogen reduction reaction on Mo 2 C(0001) MXene using dispersion–corrected DFT calculations. The incorporation of gas‐phase corrections significantly reshapes the free‐energy profile and alters catalytic activity descriptors, including the largest free‐energy span of the G max ( U ) descriptor. Findings highlight the importance of thermodynamic accuracy in computational electrocatalysis and provide a generalizable framework that improves the reliability of DFT‐based predictions across a wide range of electrochemical systems for energy conversion and storage.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.