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Computational studies of electrochemical interfaces based on density-functional theory (DFT) play an increasingly important role in present research on electrochemical processes for energy conversion and storage. The homogeneous background…

Materials Science · Physics 2022-04-26 Arthur Hagopian , Marie-Liesse Doublet , Jean-Sébastien Filhol , Tobias Binninger

Here we report on technology developments implemented into the Graphene Flagship European project for the integration of graphene and graphene-related materials (GRMs) into energy application devices. Many of the technologies investigated…

Organic/inorganic donor-acceptor interfaces are gaining growing attention in organic photovoltaic applications as each component of the interface offers unique attributes. Here we use hybrid-density functional theory to examine the…

Materials Science · Physics 2011-03-29 Na Sai , Kevin Leung , James R. Chelikowsky

Hydrogen is one of the prime candidates for clean energy source with high energy density. However, current industrial methods of hydrogen production are difficult to provide hydrogen with high purity, thus hard to meet the requirements in…

Applied Physics · Physics 2021-07-06 Liliang Tian , Humin Duan , Jiaming Luo , Yonghong Cheng , Le Shi

The proper design and synthesis of molecular junctions for the purpose of establishing percolative networks of conductive nanoparticles represent an opportunity to develop more efficient thermally-conductive nanocomposites, with several…

We systematically evaluate the prospects of a novel 2D nanomaterial, phosphorene, as anode for Na-ion batteries. Using first-principles calculations, we determine the Na adsorption energy, specific capacity and Na diffusion barriers on…

Materials Science · Physics 2015-06-24 Vadym V. Kulish , Oleksandr I. Malyi , Clas Persson , Ping Wu

On-chip integration of highly anisotropic two-dimensional (2D) materials offers new opportunities for realizing high performance polarization selective devices. Obtaining optimized designs for such devices requires extensively sweeping…

Machine learning has become ubiquitous in materials modelling and now routinely enables large-scale atomistic simulations with quantum-mechanical accuracy. However, developing machine-learned interatomic potentials requires high-quality…

In this work, we design a TiO2 nanomembrane (TiNM) that can be used as a nanofilter platform for a selective enrichment of specific proteins. After use the photocatalytic properties of TiO2 allow to decompose unwanted remnant on the…

Materials Science · Physics 2016-10-21 Jingwen Xu , Lingling Yang , Yuyao Han , Yongmei Wang , Xuemei Zhou , Zhida Gao , Yan-Yan Song , Patrik Schmuki

As the design of single-component battery electrodes has matured, the battery industry has turned to hybrid electrodes with blends of two or more active materials to enhance battery performance. Leveraging the best properties of each…

Materials Science · Physics 2023-05-26 Qiaohao Liang , Martin Z. Bazant

To control part quality, it is critical to analyze pore generation mechanisms, laying theoretical foundation for future porosity control. Current porosity analysis models use machine setting parameters, such as laser angle and part pose.…

Machine Learning · Computer Science 2021-01-15 Rui Liu , Sen Liu , Xiaoli Zhang

We propose a comprehensive set of indicators (including methods to obtain and analyse them) for computational screening of candidate cathode materials for rechargeable Zn-ion aqueous batteries relying on Zn$^{2+}$ intercalation processes.…

Materials Science · Physics 2023-04-18 Sriram Anand , Caio Miranda Miliante , Storm Gourley , Brian D. Adams , Drew Higgins , Oleg Rubel

Solid-state nanopores, nm-sized holes in thin, freestanding membranes, are powerful single-molecule sensors capable of interrogating a wide range of target analytes, from small molecules to large polymers. Interestingly, due to their high…

The past decade has witnessed the rapid progress in synthesizing nanoporous organic networks or polymer frameworks for various potential applications. Generally speaking, functionalization of porous networks to add extra properties and…

Materials Science · Physics 2016-10-11 Jian-Ke Sun , Markus Antonietti , Jiayin Yuan

Protein language models (PLMs) have shown promise in improving the understanding of protein sequences, contributing to advances in areas such as function prediction and protein engineering. However, training these models from scratch…

Machine Learning · Computer Science 2024-12-19 Shivasankaran Vanaja Pandi , Bharath Ramsundar

All materials enter or exit the cell nucleus through nuclear pore complexes (NPCs), efficient transport devices that combine high selectivity and throughput. A central feature of this transport is the binding of cargo-carrying soluble…

Cell Behavior · Quantitative Biology 2015-06-26 A. Zilman , S. DiTalia , B. T. Chait , M. P Rout , M. O. Magnasco

Interfacing artificial functional materials and living neuronal tissues is at the forefront of bio-nano-technology. Attempts have been so far based onto microscale processing of metals and inorganic semiconductors as electrodes or…

When disperse in biological fluids, engineered nanoparticles are selectively coated with proteins, resulting in the formation of a protein corona. It is suggested that the protein corona is critical in regulating the conditions of entry…

Materials Science · Physics 2021-09-21 V. Torrisi , A. Graillot , L. Vitorazi , Q. Crouzet , G. Marletta , C. Loubat , J. -F. Berret

An organometallic powder (platinum (II) acetylacetonate) is decomposed in the post-discharge of an atmospheric RF plasma torch to deposit Pt nanoparticles on carbon black supports. The resulting nanohybrid materials are characterized by…

Hybrid materials, containing a 2D filler embedded in a polymeric matrix, are an interesting platform for several applications, because of the variety of properties that the filler can impart to the polymer matrix when dispersed at the…

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