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Atomically thin molecular carbon nanomembranes (CNMs) with intrinsic sub-nanometer porosity are considered as promising candidates for next generation filtration and gas separation applications due to their extremely low thickness, energy…

Mesoscale and Nanoscale Physics · Physics 2022-09-07 Vladislav Stroganov , Daniel Hüger , Christof Neumann , Tabata Noethel , Michael Steinert , Uwe Huebner , Andrey Turchanin

The ongoing energy crisis has underscored the urgent need for energy-efficient materials with high energy utilization efficiency, prompting a surge in research into organic compounds due to their environmental compatibility, cost-effective…

Chemical Physics · Physics 2025-07-24 Qi Ou , Hongshuai Wang , Minyang Zhuang , Shangqian Chen , Lele Liu , Ning Wang , Zhifeng Gao

Proton transport property is studied by modelling the intermolecular pair correlation functions of the proton ion with the electrode and the electrolyte of a polymer electrolyte fuel cell (PEMFC) by using Materials-Studio and then applying…

Materials Science · Physics 2023-05-05 S. S. Awulachew , K. N. Nigussa

Development of new functional ceramics is important for several applications, including electrochemical batteries and fuel cells. Computational prescreening and selection of such materials can help discover novel materials but is…

Materials Science · Physics 2025-02-11 Keisuke Kameda , Takaaki Ariga , Kazuma Ito , Manabu Ihara , Sergei Manzhos

The state of protonation/deprotonation of surfaces has far-ranging implications in all areas of chemistry: from acid-base catalysis$^1$ and the electro- and photocatalytic splitting of water$^2$, to the behavior of minerals$^3$ and…

Materials Science · Physics 2023-08-23 Margareta Wagner , Bernd Meyer , Martin Setvin , Michael Schmid , Ulrike Diebold

The removal of leaked radioactive iodine isotopes in humid environments holds significant importance in nuclear waste management and nuclear accident mitigation. In this study, high-throughput computational screening and machine learning…

Machine Learning · Computer Science 2025-04-29 Haoyi Tan , Yukun Teng , Guangcun Shan

Efficient screening of chemicals is essential for exploring new materials. However, the search space is astronomically large, making calculations with conventional computers infeasible. For example, an $N$-component system of organic…

Computational Physics · Physics 2021-01-13 Kan Hatakeyama-Sato , Takahiro Kashikawa , Koichi Kimura , Kenichi Oyaizu

We develop a computational framework, based on the Boltzmann transport equation, with the ability to compute the thermal transport in nanostructured materials of any geometry using as the only input the bulk thermal conductivity…

Mesoscale and Nanoscale Physics · Physics 2014-10-20 Giuseppe Romano , Jeffrey C. Grossman

This paper studies the mechanisms of dispersion in the laminar flow through the pore space of a $3$-dimensional porous medium. We focus on pre-asymptotic transport prior to the asymptotic hydrodynamic dispersion regime, in which solute…

Fluid Dynamics · Physics 2018-03-05 Marco Dentz , Matteo Icardi , Juan J. Hidalgo

Describing the proton structure function $F_2$ in the non-perturbative and transition regimes of quantum chromodynamics (QCD) remains a significant theoretical challenge. In this work, we introduce a Physics-Guided Neural Network (PGNN)…

High Energy Physics - Phenomenology · Physics 2026-04-06 Wei Kou , Xurong Chen

Systematic first-principles molecular dynamics (MD) simulations with long simulation times (7-13 ps) for phase IV of solid hydrogen using different supercell sizes of 96, 288, 576, and 768 atoms established that the diffusive proton motions…

Materials Science · Physics 2013-12-02 Hanyu Liu , John Tse , Yanming Ma

An optical absorption spectrum constitutes one of the most fundamental material characteristics, with relevant applications ranging from material identification to energy harvesting and optoelectronics. However, the database of both…

Materials Science · Physics 2022-09-20 Ruo Xi Yang , Matthew K. Horton , Jason Munro , Kristin A. Persson

Functional composite thin films have a wide variety of applications in flexible and/or electronic devices, telecommunications and multifunctional emerging coatings. Rapid screening of their properties is a challenging task, especially with…

Information delivery via molecular signals is abundant in nature and potentially useful for industry sensing. Many propagation channels (e.g., tissue membranes and catalyst beds) contain porous medium materials and the impact this has on…

Information Theory · Computer Science 2020-04-24 Yuting Fang , Weisi Guo , Matteo Icardi , Adam Noel , Nan Yang

Proton therapy is a cancer treatment technique currently in growth worldwide. It offers advantages with respect to conventional X-ray and $\gamma$-ray radiotherapy, in particular, a better control of the dose deposition allowing to reach a…

Understanding the properties of electronic transport across metal-molecule interfaces is of central importance for controlling a large variety of molecular-based devices such as organic light emitting diodes, nanoscale organic spin-valves…

Mesoscale and Nanoscale Physics · Physics 2016-02-03 T. Yelin , R. Korytar , N. Sukenik , R. Vardimon , B. Kumar , C. Nuckolls , F. Evers , O. Tal

A large proportion of organic molecules relevant to medicine and biotechnology contain one or more ionizable groups, which means that fundamental physical and chemical properties (e.g. the charge of the molecule) depend on the pH of the…

Chemical Physics · Physics 2015-12-03 Jan H. Jensen

Half-Heuslers are a promising family for thermoelectric (TE) applications, yet only a small fraction of their potential chemistries has been experimentally explored. In this work, we introduce a distinct computational high-throughput…

Materials Science · Physics 2025-01-22 Angela Pak , Kamil Ciesielski , Maria Wróblewska , Eric S. Toberer , Elif Ertekin

Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between…

Imidazole is a promising anhydrous proton conductor with a high conductivity comparable to that of water at a similar temperature relative to its melting point. Previous theoretical studies of the mechanism of proton transport in imidazole…