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Related papers: Etching-to-deposition transition in SiO$_2$/Si$_3$…

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The main goal of this research was to determine the key reagents during the highly Si3N4/SiO2 selective etching. The experiments were conducted, where both Si3N4 and SiO2 samples were etched by NF3/O2 and NF3/O2/N2/H2 plasmas. The sources…

Chemical Physics · Physics 2023-06-09 Yuri Barsukov

Plasma-enhanced chemical vapor deposition (PECVD) of silicon dioxide (SiO$_2$) is widely used for low-temperature fabrication of dielectric thin films, yet its atomic-scale growth mechanisms remain incompletely understood. In this work, we…

The photoconversion of CO$_2$ to hydrocarbons is a sustainable route to its transformation into value-added compounds and, thereby, crucial to mitigating the energy and climate crises. CuPt nanoparticles on TiO$_2$ surfaces have been…

Plasma based surface modification of niobium is a promising alternative to wet etching of superconducting radio frequency (SRF) cavities. The development of the technology based on Cl2/Ar plasma etching has to address several crucial…

Accelerator Physics · Physics 2015-06-23 J. Upadhyay , Do Im , S. Popović , A. -M. Valente-Feliciano , L. Phillips , L. Vušković

This paper provides a unique and to the best of our knowledge first-of-a-kind attempt to develop chemical processes that may contribute to the volume reduction of SMR TRISO-based fuels and aims at the eventual ability to reprocess the spent…

Chemical Physics · Physics 2025-05-21 Tobias Chemnitz , Christian Reiter , Florian Kraus , David Novog

We present large-scale molecular dynamics (MD) simulations based on a machine-learning interatomic potential to investigate the wet etching behavior of various GaN facets in alkaline solution-a process critical to the fabrication of…

Materials Science · Physics 2025-05-14 Purun-hanul Kim , Jeong Min Choi , Seungwu Han , Youngho Kang

Niobium nitride (NbN) is a metallic superconductor that is widely used for superconducting electronics due to its high transition temperature ($T_c$) and kinetic inductance. Processing-induced damage negatively affects the performance of…

Materials Science · Physics 2025-09-04 Azmain A. Hossain , Sela Murphy , David S. Catherall , Anthony J. Ardizzi , Austin J. Minnich

Inductively Coupled Plasma (ICP) etching of amorphous silicon (a-Si) nanostructures using a continuous C4F8/SF6 plasma over nanotopography in silicon dioxide (SiO2) is investigated. The coil power of the ICP system is used to tune the a-Si…

Artificial neural network potentials (NNPs) have emerged as effective tools for understanding atomic interactions at the atomic scale in various phenomena. Recently, we developed highly transferable NNPs for {\alpha}-iron and…

Materials Science · Physics 2023-12-01 Shihao Zhang , Fanshun Meng , Rong Fu , Shigenobu Ogata

The understanding of the Ar/Cl2 plasma etching mechanism is crucial for the desired modification of inner surface of the three dimensional niobium (Nb) superconductive radio frequency cavities. Uniform mass removal in cylindrical shaped…

Accelerator Physics · Physics 2015-06-23 J. Upadhyay , Do Im , S. Popović , A. -M. Valente-Feliciano , L. Phillips , L. Vušković

A hot filament chemical vapor deposition is an attractive technique to deposit carbon films of different applications. In this technique, it is also feasible to study the influence of chamber pressure in the deposition of carbon films. In…

Materials Science · Physics 2023-05-26 Mubarak Ali

Three-dimensional (3D) etching of materials by plasmas is an ultimate challenge in microstructuring applications. A method is proposed to reach a controllable 3D structure by using masks in front of the surface in a plasma etch reactor in…

Plasma Physics · Physics 2023-11-16 E. Jüngling , S. Wilczek , T. Mussenbrock , M. Böke , A. von Keudell

Thermal plasma has emerged as an effective approach for producing carbon nanostructures without the need for specific catalysts nor substrates. While efforts have focused on the effect of process parameters such as reaction pressure, input…

Materials Science · Physics 2025-12-05 Taki Aissou , Jerome Menneveux , Fanny Casteignau , Nadi Braidy , Jocelyn Veilleux

In the relentless pursuit of advancing semiconductor technologies, the demand for atomic layer processes has given rise to innovative processes, which have already played a significant role in the continued miniaturization features. Among…

Materials Science · Physics 2025-01-01 Jun Peng , Rakshith Venugopal , Robert Blick , Robert Zierold

The present work deals with the synthesis of crystalline carbon nitride thin films by microwave plasma assisted chemical vapour deposition in N$_2$/CH$_4$ gas mixture. The discharge analysis by optical emission spectroscopy shows that the…

Anisotropic etching is a widely used process in semiconductor manufacturing, in particular for micro- and nano-scale texturing of silicon surfaces for black silicon production. The typical process of plasma-assisted etching uses energetic…

Chemical Physics · Physics 2023-08-08 Omesh Dhar Dwivedi , Yuri Barsukov , Sierra Jubin , Joseph Vella , Igor Kaganovich

The Co$_3$O$_4$ spinel is an important material in oxidation catalysis. Its properties under catalytic conditions, i.e., at finite temperatures, can be studied by molecular dynamics simulations, which critically depend on an accurate…

Materials Science · Physics 2024-09-18 Amir Omranpour , Jörg Behler

We have used a combination of numerical modeling and experiments to study carbon etching in the presence of a hydrogen plasma. We model the evolution of a low density EUV-induced plasma during and after the EUV pulse to obtain the energy…

The electron dynamics and SiO2 etching profile evolution in capacitively coupled Ar/CHF3 plasmas driven by sawtooth-waveforms are investigated based on a one-dimensional fluid/Monte-Carlo (MC) model coupled with an etching profile evolution…

Plasma Physics · Physics 2024-11-13 Wan Dong , Liu-Qin Song , Yi-Fan Zhang , Li Wang , Yuan-Hong Song , Julian Schulze

Efficient, reliable and easy-to-use structure recognition of atomic environments is essential for the analysis of atomic scale computer simulations. In this work, we train two neuronal network (NN) architectures, namely PointNet and dynamic…

Materials Science · Physics 2025-04-16 Linus C. Erhard , Daniel Utt , Arne J. Klomp , Karsten Albe
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