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Related papers: High-throughput screening and mechanistic insights…

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High throughput experimental methods are known to accelerate the rate of research, development, and deployment of electronic materials. For example, thin films with lateral gradients in composition, thickness, or other parameters have been…

Applied Physics · Physics 2020-02-19 Yanbing Han , Sage Bauers , Qun Zhang , Andriy Zakutayev

Aqueous proton transport plays a key role in acid-base neutralization, and energy transport through biological membranes and hydrogen fuel cells. Extensive experimental and theoretical studies have resulted in a highly detailed elucidation…

The mass storage and removal in solid conductors always played vital role on the technological applications such as modern batteries, permeation membranes and neuronal computations, which were seriously lying on the ion diffusion and…

Materials Science · Physics 2024-07-19 Liang Li , Min Hu , Changlong Hu , Bowen Li , Shanguang Zhao , Guobin Zhang , Liangbin Li , Jun Jiang , Chongwen Zou

The predictive performance screening of novel compounds can significantly promote the discovery of efficient, cheap, and non-toxic thermoelectric materials. Large efforts to implement machine-learning techniques coupled to materials…

Applied Physics · Physics 2020-12-07 Patrizio Graziosi , Chathurangi Kumarasinghe , Neophytos Neophytou

Using a representative translational dimer model, high throughput calculations are implemented for fast screening of a total of 74 diacenaphtho-extended heterocycle (DAH) derivatives as hole transport layer (HTL) materials in perovskite…

The macroscopic phenomenon of filtration is the separation between suspended and liquid phases and it takes place in natural environments (e.g. groundwater, soil, hyporheic zone) and industrial systems (e.g. filtration plants,…

Soft and flexible conductors are essential in the development of soft robots, wearable electronics, as well as electronic tissue and implants. However, conventional soft conductors are inherently characterized by a large change in…

How impurity atoms move through a crystal is a fundamental and recurrent question in materials. The previous understanding of oxygen diffusion in titanium relied on interstitial lattice sites that were recently found to be unstable, making…

Materials Science · Physics 2011-07-25 Henry H. Wu , Dallas R. Trinkle

Compositionally complex alloy systems containing more than five principal elements allow exploring a wide range of compositions, processing, and structural variables with the hope for identifying unique properties. Such opportunities also…

Materials Science · Physics 2023-09-19 Debashish Sur , Howie Joress , Jason Hattrick-Simpers , John R. Scully

The process of protons transport in molecular water chains is of fundamental interest for many biological systems. Although many features of such systems can be analyzed using large-scale computational modeling, other features are better…

Biological Physics · Physics 2011-08-23 Artem Korzhimanov , Mattias Marklund , Tatiana Shutova , Goran Samuelsson

Recent years have shown steady progress in research towards molecular electronics [1,2], where molecules have been investigated as switches [3-5], diodes [6], and electronic mixers [7]. In much of the previous work a Scanning Tunnelling…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 R. H. M. Smit , Y. Noat , C. Untiedt , N. D. Lang , M. van Hemert , J. M. van Ruitenbeek

Stable and fast ionic conductors for magnesium cathode materials have the prospect of enabling high energy density batteries beyond current Lithium-ion technologies. So far, only a few candidate materials have been identified leading to…

Materials Science · Physics 2021-08-25 Felix T. Bölle , Arghya Bhowmik , Tejs Vegge , Juan Maria García Lastra , Ivano E. Castelli

This study assesses the efficiency of several popular machine learning approaches in the prediction of molecular binding affinity: CatBoost, Graph Attention Neural Network, and Bidirectional Encoder Representations from Transformers. The…

Machine Learning · Computer Science 2020-12-16 Oleksandr Gurbych , Maksym Druchok , Dzvenymyra Yarish , Sofiya Garkot

Superconductivity allows electrical current to flow without any energy loss, and thus making solids superconducting is a grand goal of physics, material science, and electrical engineering. More than 16 Nobel Laureates have been awarded for…

Superconductivity · Physics 2023-06-29 Ke Liu , Kaifan Yang , Jiahong Zhang , Renjun Xu

Solid-state ionic conduction is a key enabler of electrochemical energy storage and conversion. The mechanistic connections between material processing, defect chemistry, transport dynamics, and practical performance are of considerable…

Materials Science · Physics 2022-08-04 Andrey D. Poletayev , James A. Dawson , M. Saiful Islam , Aaron M. Lindenberg

Ion-conducting solid electrolytes are widely used for a variety of purposes. Therefore, designing highly ion-conductive materials is in strongly demand. Because of advancement in computers and enhancement of computational codes, theoretical…

Computational Physics · Physics 2020-03-23 Masayuki Karasuyama , Hiroki Kasugai , Tomoyuki Tamura , Kazuki Shitara

The electrochemical hydrogenation of graphene induces a robust and reversible conductor-insulator transition, of strong interest in logic-and-memory applications. However, its mechanism remains unknown. Here we show that it proceeds as a…

Despite widespread interest, a detailed understanding of the dynamics of proton transfer at interfaces is lacking. Here we use ab initio molecular dynamics to unravel the connection between interfacial water structure and proton transfer…

Materials Science · Physics 2014-03-12 Gabriele Tocci , Angelos Michaelides

In conductor-insulator composites in which the conducting particles are dispersed in an insulating continuous matrix the electrical connectedness is established by interparticle quantum tunneling. A recent formulation of the transport…

Disordered Systems and Neural Networks · Physics 2015-05-20 B. Nigro , G. Ambrosetti , C. Grimaldi , T. Maeder , P. Ryser

The discovery and design of new materials are paramount in the development of green technologies. High entropy oxides represent one such group that has only been tentatively explored, mainly due to the inherent problem of navigating vast…

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