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Related papers: Accelerated Discovery of Nitrogen-Coordinated Dual…

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Recently, 2D JTMDs with asymmetric electronic structures are inviting an intense research interest in modern science and technology. Using the first principles-based periodic hybrid dispersion-corrected Density Functional Theory (DFT-D)…

Materials Science · Physics 2022-09-16 Srimanta Pakhira , Shrish Nath Upadhyay

MXenes with versatile chemistry and superior electrical conductivity are prevalent candidate materials for energy storage and catalysts. Inspired by recent experiments of hybridizing MXenes with carbon materials, here we theoretically…

Materials Science · Physics 2018-05-14 Si Zhou , Xiaowei Yang , Wei Pei , Nanshu Liu , Jijun Zhao

Coordination engineering was employed to optimize the coordination environment of the Zr atom anchored on the porphyrins (PP). Five promising ZrPP-A candidates as electrocatalysts for nitrogen reduction reaction (NRR) were identified…

Materials Science · Physics 2023-12-11 Jianpeng Guo , Hao Luo , Qinfu Zhao , Bingbing Suo , Bo Zhou , Haiyan Zhu , Zhiyong Zhang , Qi Song

The hydrogen evolution reaction (HER) is a key process in electrochemical water splitting. To lower the cost and environmental impact of this process, it is highly motivated to develop electrocatalysts with low or no content of noble…

Understanding the mechanisms of hydrogen embrittlement (HE) is essential for advancing next-generation high-strength steels, thereby motivating the development of highly accurate machine-learning interatomic potentials (MLIPs) for the Fe-H…

Materials Science · Physics 2025-12-30 Kazuma Ito

Laterally nanostructured surfaces give rise to a new dimension of understanding and improving electrochemical reactions. In this study, we present a peculiar mechanism appearing at a metal/insulator interface, which can significantly…

Dual-encoder-based neural retrieval models achieve appreciable performance and complement traditional lexical retrievers well due to their semantic matching capabilities, which makes them a common choice for hybrid IR systems. However,…

Information Retrieval · Computer Science 2022-11-10 Jurek Leonhardt , Marcel Jahnke , Avishek Anand

Machine-learned potentials (MLPs) trained on ab initio data combine the computational efficiency of classical interatomic potentials with the accuracy and generality of the first-principles method used in the creation of the respective…

Chemical Physics · Physics 2024-08-07 Leonid Kahle , Benoit Minisini , Tai Bui , Jeremy T. First , Corneliu Buda , Thomas Goldman , Erich Wimmer

Rate theory and DFT calculations of hydrogen evolution reaction (HER) on MoS2 with Co, Ni and Pt impurities show the significance of dihydrogen (H2*) complex where both hydrogen atoms are interacting with the surface. Stabilization of such…

Materials Science · Physics 2024-09-05 Sander Ø. Hanslin , Hannes Jónsson , Jaakko Akola

Metal-organic frameworks (MOFs) provide a versatile and tailorable material platform that embody many desirable attributes for photocatalytic water-splitting. The approach taken in this study was to use Density Functional Theory (DFT) to…

Chemical Physics · Physics 2015-10-19 Terence Musho , Jiangtan Li , Nianqiang Wu

CO2 reduction requires efficient catalysts, yet materials discovery remains bottlenecked by 10-20 year development cycles requiring deep domain expertise. This paper demonstrates how large language models can assist the catalyst discovery…

Materials Science · Physics 2026-03-18 AI Scientists , Xinyi Lin , Danqing Yin , Ying Guo

Clean hydrogen production through efficient and cost-effective electrochemical water splitting is highly promising to meeting future global energy demands. The design of Earth-abundant materials with both high activity for hydrogen…

Multi-component metal nanoparticles (NPs) are of paramount importance in the chemical industry, as most processes therein employ heterogeneous catalysts. While these multi-component systems have been shown to result in higher product…

Transition metal chromophores with earth-abundant transition metals are an important design target for their applications in lighting and non-toxic bioimaging, but their design is challenged by the scarcity of complexes that simultaneously…

Chemical Physics · Physics 2022-09-16 Chenru Duan , Aditya Nandy , Gianmarco Terrones , David W. Kastner , Heather J. Kulik

We propose an efficient computational methodology for predicting the synthesizability of high entropy oxides (HEOs) in a large space of possible candidate compounds. HEOs are a growing field with an enormous potential chemical composition…

Materials Science · Physics 2026-03-03 Oliver A. Dicks , Solveig S. Aamlid , Alannah M. Hallas , Joerg Rottler

Two-dimensional transition metal-dichalcogenides are emerging as efficient and cost-effective electrocatalysts for hydrogen evolution reaction (HER). However, only the edge sites of their trigonal prismatic phase show HER-electrocatalytic…

Efficient and inexpensive energy storage is essential for accelerating the adoption of renewable energy and ensuring a stable supply, despite fluctuations in sources such as wind and solar. Electrocatalysts play a key role in hydrogen…

TMDs are a new family of 2D materials with features that make them appealing for potential applications in nanomaterials science and engineering. Although, the edges of the 2D TMDs show excellent electrocatalytic performance, their basal…

Materials Science · Physics 2022-09-20 Shrish Nath Upadhyay , Srimanta Pakhira

The use of highly active and robust catalysts is crucial for producing green hydrogen by water electrolysis as we strive to achieve global carbon neutrality. Noble metals like platinum are currently used in industry for the hydrogen…

Hydrogen as the cleanest energy carrier is a promising alternative renewable resource to fossil fuels. There is an ever-increasing interest in exploring efficient and cost-effective approaches of hydrogen production. Recent experiments have…

Materials Science · Physics 2023-08-29 Zheng Shu , Yongqing Cai