Results 261 to 270 of about 527,698 (329)

Revealing electronic correlations in YNi₂B₂C using photoemission spectroscopy. [PDF]

Commun Phys
Pulkkinen A, Kremer G, Strocov VN, Weber F, Minár J, Monney C.   +5 more
europepmc   +1 more source

Edge‐Delocalized Electron Effect on Self‐Expediating Desolvation Kinetics for Low‐Temperature Li─S Batteries

Advanced Functional Materials, EarlyView.
The self‐transformed Schottky heterojunction on MXene is developed to facilitate the dissociation of Li (solvent)x+ to achieve fast Li+ desolvation to promote rapid sulfur conversion kinetics by decreasing the related barriers, contributing to high‐performance Li─S batteries under low‐temperatures.
Yongzheng Zhang, Xiang Li, Yanli Wang, Jianghao Zhu, Yinze Zuo, Xiaomin Cheng, Tao Rong, Jing Zhang, Yang Hu, Hongzhen Lin, Jian Wang, Liang Zhan, Licheng Ling   +12 more
wiley   +1 more source

Quantum-embedded equation-of-motion coupled-cluster approach to single-atom magnets on surfaces.

Phys Chem Chem Phys
Alessio M, Schäfer T, Jagau TC, Grüneis A.   +3 more
europepmc   +1 more source

Automated wide-line nuclear quadrupole resonance of mixed-cation lead-halide perovskites. [PDF]

Magn Reson (Gott)
Wolffs JW, Gómez JS, Janssen GE, de Wijs GA, Kentgens APM.   +4 more
europepmc   +1 more source

DFT Calculations of Photoabsorption Spectra for Alicyclic and Heterocyclic Compounds in the VUV Region

, 2003
Shinji Ando, Mitsuru Ueda
openalex   +2 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Proton-Relaying Adsorbates Induce Non-Nernstian Behavior in Oxygen Reduction. [PDF]

ACS Catal
Zhang L, Zhao D, Tang W, Chen Y, Huang J.   +4 more
europepmc   +1 more source

Cu2O/Cu Chiral Catalysts for Highly Selective Solar‐Assisted CO2‐to‐CO Electroreduction

Advanced Functional Materials, EarlyView.
To address the poor target‐product selectivity of the eCO2RR, breakthrough approaches based on the chiral‐induced spin selectivity phenomenon enhance the Faradaic efficiency (FE) for target hydrocarbons, such as CO. To induce this spin polarization strategy in Cu2O/Cu catalysts, it is proposed using amine‐based intermediate organic molecules with ...
Hyungsoo Lee, Young Sun Park, Eunji Kwon, Chang‐Seop Jeong, Juwon Yun, Subin Moon, Soobin Lee, Jun Hwan Kim, Donghyun Kim, Wooyong Jeong, Jaehyun Son, Jihwon Park, Seungho Yu, Jooho Moon   +13 more
wiley   +1 more source

Atomically Dispersed Copper Electrocatalysts with Proton‐feeding Centers for Efficient Ammonia Synthesis by Nitrate Electroreduction

Advanced Functional Materials, EarlyView.
Rationally‐designed advanced carbon‐based single‐atom catalysts with isolated CuN2O2 active sites anchored in N,O‐doped porous carbon facilitate water dissociation and nitrate reduction, accelerating proton supply for efficient electrosynthesis of ammonia.
Yan Li, Jingyang Guo, Yuwei Yang, Bingliang Wang, Haotian Wen, Thanh Son Bui, Shery L. Y. Chang, Nicholas M. Bedford, Emma Lovell, Rahman Daiyan, Rose Amal, Yang Hou, Richard Tilley, Zhenhai Xia, Liming Dai   +14 more
wiley   +1 more source

Heat capacity estimation of complex materials for energy technologies.

Joule
Cope EJ, Bustamante J, Johnson ZM, Lancaster A, Gurunathan R, George J, Agne MT.   +6 more
europepmc   +1 more source