jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: M. S. Anosov | M. A. Chernigin | Yu. S. Mordovina | E. S. Anosova
Source: Chernye Metally (article, 2024-07-26)
Field: Materials Science — Materials Chemistry

Structure and properties of 08KhMFA and 30KhGSA steels obtained by electric arc welding Currently, 3D metal printing technologies are actively developing, among which the main ones are: layer-by-layer powder fusion (SLM), laser powder surfacing (LENS/DMD) and electric arc surfacing (WAAM). One of the promising methods of additive growing of products is the method of electric arc welding with wire (WAAM). However, as a result of the layered deposition of metal and its crystallization under nonequilibrium conditions, as well as multiple cycles of heating the metal above critical temperatures, the microstructure of the material obtained using additive technologies differs significantly from the structure of the material obtained by traditional methods. The purpose of this work was to study the structure and properties of 30KhGSA and 08KhMFA steels obtained by the WAAM method. Optical emission analysis of the deposited material showed the presence of carbon monoxide of alloying elements not exceeding the maximum grade deviations according to GOST for the studied steels. As a result of acoustic diagnostics, the dependence of the acoustic anisotropy parameter and strength properties on the direction of surfacing was established. Anisotropy is characteristic of both steels, which is confirmed by the results of tensile tests. The values of the strength properties of samples cut across the deposited layers are on average 20 % lower than the values for samples cut along the direction of surfacing. The use of vibration treatment in the surfacing process leads to a slight decrease in grain in the metal under study, while the strength properties of 30KhGSA and 08KhMFA steels practically do not change. Vibration treatment during metal surfacing has a significant effect on plastic properties: the elongation at tension &ndash; &delta; &ndash; increases by 6% relative to the initial one in all directions for 30KhGSA steel and by 11 and 27 % for 08KhMFA steel, depending on the direction of sample cutting. Quenching with high tempering leads to an increase in the strength properties of both steels; the strength properties of samples cut longitudinally from 30KhGSA steel practically reach the values specified in GOST 4543, i.e. the properties of hot-rolled material are achieved.The research was supported by the Russian Science Foundation grant No. 22-79-00095&nbsp;&ldquo;Development of scientific and technological foundations for the structure formation of&nbsp;structural materials obtained by additive electric arc manufacturing for the formation of&nbsp;mechanical properties during fatigue using artificial intelligence approaches&rdquo;. Welding ; Arc welding ; Materials science ; Metallurgy ; Arc (geometry) ; Mechanical engineering ; Engineering Metal Alloys Wear and Properties ; Microstructure and Mechanical Properties of Steels ; Metal and Thin Film Mechanics
Authors: Keiichi Okubo | Chen Ling
Source: ECS Meeting Abstracts (article, 2024-11-22)
Field: Chemistry — Electrochemistry

AI Assisted Electrochemical Experimentation The current work proposes that artificial intelligence could not only guide the design of experiments but also serves as an independent quality control element. We demonstrate the proposed strategy in one of the most prominent electrochemical technique, rotating disk electrode. The control of RDE quality has been a challenge in electrochemical research for decades. The absence of controlled RDE experiments has partially contributed to the discrepancy of electrochemical studies even for the same material. To solve this challenge, we show that a CNN-method evaluated the quality of as-prepared electrodes with an accuracy of 88%. The CNN-model thus provided a simple, easy-to-use and non-destructive way to achieve the high-quality of RDE experimentation. The implementation was estimated to improve the experimental efficiency by 60% Electrochemistry ; Computer science ; Materials science ; Chemistry ; Electrode Electrochemical Analysis and Applications ; Machine Learning in Materials Science ; Fault Detection and Control Systems
Authors: Lars-Christian Stoltenberg | Marius Funke | Felix Kornemann | Felix Biermann | Artur Wiser | Marco Schöpp | Christian Goerens | Johannes Dammeier | Andreas Orth | A. Drochner | Martin Votsmeier | Bastian J. M. Etzold
Source: SSRN Electronic Journal (preprint, 2024-01-01)
Field: Materials Science — Materials Chemistry

A Data-Driven Approach for Deducing Process Parameter Influences on N2o Selectivity for the Ostwald Process Process (computing) ; Ostwald ripening ; Selectivity ; Process engineering ; Biological system ; Computer science ; Chemistry ; Materials science ; Nanotechnology ; Engineering ; Organic chemistry ; Biology ; Catalysis Catalytic Processes in Materials Science
Authors: Byeong‐Soo Bae | Seung‐Mo Kang | Hyungshin Kweon
Source:  (article, 2024-08-07)
Field: Materials Science — Polymers and Plastics

Low Dk/Df Thermosetting Siloxane Hybrid Material for Advanced Packaging Substrate Advanced packaging is an indispensable technology for high performance semiconductor devices with high-speed data transmission to realize the hyper-connected society such as internet of things (IoTs), artificial intelligence (AI), and metaverse. To achieve high speed data transfer from the device to device without any error, utilizing material of low dielectric constant (Dk) and low dissipation factor (Df) at high frequency range for advanced packaging substrate has been considered as a key factor. Recently, many low Dk/Df materials have been proposed, for example, modified polyimide (MPI), epoxy, polyphenylene ether (PPE) and polybenzoxazole (PBO). However, the dielectric properties and stability in humid condition of above materials are significantly improper for high-speed applications. Here, we present thermosetting siloxane hybrid materials (Singi G™-1 and 2) with low Dk/Df value in high frequency ranges with high dielectric stability in harsh humid condition. Thermally cured Singi G™-1 and 2 represents low Dk/Df value of 2.9/0.0016 and 3.0/0.0018 respectively at 10 GHz with no variation after aging in harsh humid condition (85<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∘</sup>C /100 RH%). We also fabricated Singi G™-1 and 2 prepreg with glass fabric of quartz and NE-glass. The Singi G™-1 prepreg with quartz and NE-glass fabric showed Dk/Df value of 3.2/0.0014 and 3.43/0.0022 at 10 GHz respectively, whereas the Singi G™-2 prepreg with NE-glass fabric showed Dk/Df value of 3.48/0.0024. Finally, we demonstrated microstrip TEST coupon with Singi G™-1 and its prepreg (quartz) as substrate to evaluate the transmission characteristics. The fabricated Singi G™-1 and quartz prepreg based microstrip showed transmission loss (S<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</inf>) of -1.77dB/100mm and -1.41dB/100mm at 10 GHz respectively, which were low enough to be utilized as advanced packaging substrate for high-speed data transmission. Thermosetting polymer ; Siloxane ; Materials science ; Substrate (aquarium) ; Composite material ; Polymer Synthesis and properties of polymers ; Silicone and Siloxane Chemistry ; Electronic Packaging and Soldering Technologies
Authors: Priyanka Kanakam | Sandip Bhattacharya
Source:  (article, 2024-03-15)
Field: Materials Science — Materials Chemistry

Comparative Performance Analysis of Intercalated Graphene Nanoribbon and Cu Interconnect In this work, the performance of graphene nanoribbon interconnect (GNR) and Cu interconnect in terms of speed and power estimation has been studied for IC design. The analysis is performed using 16nm technology with five different interconnect materials (e.g. Cu, pristine GNR: undoped materials, intercalation GNR-Li: doped materials, intercalation GNR-AsF<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</inf>: doped materials, intercalation GNR-Fecl<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf>: doped materials). A five-stage CMOS inverter circuit was employed to assess the performance of these interconnect materials. The results indicate that intercalation GNR-Li interconnect materials outperform the others in terms of delay, showing ~3.68 × less delay than Cu, ~2.67 × less than pristine GNR, ~1.54 × less than intercalation GNR-AsF5, and ~1.12 × less than intercalation GNR-Fecl3. Additionally, intercalation GNR-Li exhibits lower power consumption (0.38 nW) compared to Cu (5.34 nW), pristine GNR (2.34 nW), intercalation GNR-AsF5 (1.23 nW), and intercalation GNR-Fecl3 (1.11 nW). This analysis provides valuable insights for the design and modeling of advance artificial intelligence (AI) enabled and IoT based chip for future technology. Graphene ; Interconnection ; Materials science ; Optoelectronics ; Nanotechnology ; Computer science ; Telecommunications Graphene research and applications ; Graphene and Nanomaterials Applications ; Supercapacitor Materials and Fabrication
Authors: Marie‐Hélène Mathon | Mehdi GUELMOUSSI | Luiz Henrique Medeiros da COSTA
Source: SMTA International (article, 2024-10-01)
Field: Materials Science — Materials Chemistry

How AI can Accelerate R&amp;D for Solder Paste Formulations ABSTRACT Solder pastes formulations constantly encounter new challenges such as the incorporation of new alloys, the refinement of powder granulometry, reduction of voids, and mitigation of residue corrosion. Each solder paste must adhere to certain minimum specifications, including solderballing, low slump, and wettability, regardless of its intended application. When developing new formulations, approximately fifteen ingredients are adjusted or created to meet these specifications. Due to the complexity of the formulations, the studies are time-consuming. However, the use of new methods based on Artificial Intelligence (AI) enables optimizing the composition of solder paste with specific properties and cutting development times by drastically reducing the number of tests to be carried out. As a field of research, the full understanding of the factors influencing formulated products remains incomplete and the scientific literature about this topic is scarce. To address this problem, AI is proving capable of going beyond human detection of correlations between the features of a phenomenon [1]. Our focus lies in leveraging AI to predict the key solder paste properties to comply with new market specifications and exploring the potential for generating new formulas. This resulted in the testing of hypotheses and the development of a solution, harnessing the efficiencies offered by AI in reducing both time and resources during the formulation development phases of solder paste. In conclusion of this article, a comparison is made between the experimental results and the AI anticipated results. Analyzing these results in alignment with the methods used in data science not only advocates for the significance of experimentation in AI but also enhances the agility of AI project, particularly in the field of solder paste applications and broader chemicals. Soldering ; Solder paste ; Field (mathematics) ; Focus (optics) ; Key (lock) ; Reduction (mathematics) Machine Learning in Materials Science ; Electronic Packaging and Soldering Technologies ; Computational Drug Discovery Methods
Authors: Ching-Heng Hung | Chong‐Chi Chi | Ming‐Pei Lu | Ming‐Yen Lu
Source: ECS Meeting Abstracts (article, 2024-11-22)
Field: Materials Science — Materials Chemistry

Investigating the Role of Grain Boundaries in Enhancing Bifunctional Memory Properties of CeO<sub>2</sub> Thin Films The rapid expansion of artificial intelligence (AI) has highlighted challenges for traditional von Neumann computing architectures, such as the memory and power limitations posed by complementary metal oxide semiconductor (CMOS) devices. Resistive random-access memory (RRAM) is considered to be an emerging technology for the next generation of non-volatile memory devices due to its simple metal/insulator/metal (MIM) structure, faster write/read speed, and longer retention time. CeO 2 with defects is compatible with electrochemical metallization mechanisms make it ideal for use as an active material in memristors. We conducted the study with CeO 2 thin film as the active layer. PVD-CeO 2 , containing numerous oxygen vacancies, facilitates gradual setting/resetting under low voltage conditions, which enables analog-type switching for applications such as artificial neural synapses. While, after annealing process, grain boundaries within the CeO 2 layer serve as migration paths for rapid ion diffusion. When bias is applied to the Ag/CeO 2 /TiN memristor, electrochemical metallization (ECM) occurs within the CeO 2 switching layer, leading to the migration of Ag ions and the formation of stable Ag conductive filaments in the CeO 2 layer. Resistive switching allows the realization of typical RRAM devices with stable set/reset switching and an on/off ratio of up to 10 5 . Overall, by varying annealing temperatures and operating voltages, the Ag/CeO 2 /TiN system can achieve bifunctional functionality. Figure 1 Bifunctional ; Materials science ; Grain boundary ; Thin film ; Chemical engineering ; Nanotechnology ; Metallurgy ; Chemistry ; Microstructure ; Engineering Catalytic Processes in Materials Science ; Electronic and Structural Properties of Oxides ; Magnetic and transport properties of perovskites and related materials
Authors: Jayanta Das | Debadrita Dasgupta | Krishna Deb | Bıswajıt Saha
Source: SSRN Electronic Journal (preprint, 2024-01-01)
Field: Materials Science — Polymers and Plastics

Optimized Properties of Conductive Polyaniline-Polyvinyl Alcohol Ink Painted on Paper for Ductile Pressure Sensor with Reduced Electrical Drift Polyaniline ; Polyvinyl alcohol ; Electrical conductor ; Materials science ; Composite material ; Inkwell ; Electrically conductive ; Conductive ink ; Polymer ; Sheet resistance Conducting polymers and applications ; Electrochemical sensors and biosensors ; Advanced Sensor and Energy Harvesting Materials
Source: Journal of Physics Conference Series (article, 2024-12-01)
Field: Materials Science — Materials Chemistry

Preface The 2024 International Conference on Defence Technology took place from 23rd to 26th, September at the Xi’an Qujiang International Convention Center, Xi’an, Shaanxi Province in the People’s Republic of China. This is the fourth ICDT and follows on from the very successful three preceding ICDTs. A wide range of papers is encouraged at the ICDT, from work in progress through to high quality scientific papers. Papers are welcome in the following areas: simulation, energetic materials, explosion &amp; impact, armour &amp; protection, novel manufacturing processes, autonomous technology, composite materials, directed energy, hypersonic technology, optoelectronic applications, advanced launch technology, artificial intelligence, ballistics, stealth technology, camouflage, electronic countermeasures, quantum science, wound ballistics, reactive materials, and other defence technologies. The conference comprised an opening ceremony followed by plenary lectures and parallel forums. Each plenary lecture was 30 minutes long including questions. Details of the plenary lectures and parallel forums are provided as below: List of Plenary lectures, Parallel forums and Organizing Committee are available in this Pdf. Philosophy High-Velocity Impact and Material Behavior ; Energetic Materials and Combustion ; Fusion and Plasma Physics Studies
Authors: Natsuki Kawaguchi | Kazuma Nakata | Ryota Ohnishi | Ippei Tanaka
Source: IEEJ Transactions on Electronics Information and Systems (article, 2024-02-29)
Field: Materials Science — Materials Chemistry

A Design of Plasma Emission Intensity Ratio Control System for a Microwave Plasma CVD Process Using FRIT We propose a method of designing a FRIT(Fictious Reference Iterative Tuning)-based control system for a microwave plasma CVD(Chemical Vapor Deposition) apparatus used in the preparation of diamond thin films. Specifically, we propose a control system that adjusts the flow rate ratio of CH4 and H2, the material gases, using the spectral emission intensity ratio of the plasma, which affects the film quality, as the controlled variable. We show how to design an experimental apparatus including actuators and sensors for this purpose. The FRIT method, a well-known data-driven control method, is used to design the controller gain from a set of experimental data without modeling complex objectives such as plasma behavior. Through control experiments of the emission intensity ratio, it is shown that the controller gain can be tuned by using a reference model with different time constants to adjust the performance of the response of the control system. Frit ; Plasma ; Controller (irrigation) ; Microwave ; Materials science ; Intensity (physics) ; Process (computing) ; Chemical vapor deposition ; Radiant intensity ; Optoelectronics ; Computer science ; Control theory (sociology) ; Control (management) ; Optics ; Physics Diamond and Carbon-based Materials Research ; Metal and Thin Film Mechanics ; Semiconductor materials and devices
Authors: Bin Sun | Tong Guo
Source: Research Square (preprint, 2024-05-21)
Field: Materials Science — Materials Chemistry

Physical cellular automata and artificial fish swarm fusion catastrophic failure prediction of brittle-like materials Mesoscopic physics ; Brittleness ; Cellular automaton ; Swarm behaviour ; Dissipation ; Computer science ; Catastrophic failure ; Structural engineering ; Algorithm ; Biological system ; Materials science ; Artificial intelligence ; Engineering ; Physics Microstructure and mechanical properties ; Rock Mechanics and Modeling ; High-Velocity Impact and Material Behavior
Authors: Jinhua Xiong | Xu Zhao | Pengyang Li | Huanxin Lian | Qian Yan | He Chen | Zonglin Liu | Zhong Chen | Qingyu Peng | Xiaodong He
Source: SSRN Electronic Journal (preprint, 2024-01-01)
Field: Materials Science — Polymers and Plastics

In-Situ Assembly of Polypyrrole Onto Heterocyclic Aramid for High-Strength, Ultratough, Durable, and Multifunctional Films Polypyrrole ; Aramid ; Materials science ; In situ ; Composite material ; Polymer chemistry ; Chemistry ; Polymer ; Organic chemistry ; Polymerization Conducting polymers and applications ; Electromagnetic wave absorption materials ; Advanced Sensor and Energy Harvesting Materials
Authors: Hüseyin Fırat KAYIRAN
Source: Journal of Mechanical Materials and Mechanics Research (article, 2024-02-28)
Field: Materials Science — General Materials Science

Investigation of Radial and Tangential Stresses Occurring in Epoxy (T300) Material Disc with Different Methods In this study, a composite disc with Epoxy (T300) material was considered. It is possible to come across different studies to examine the stress field on disks rotating or stationary under thermal loads. Discs play a vital role in the assembly of machine parts in industry. Knowing the behavior of machine parts against temperature allows very good data to be transferred to today’s artificial intelligence world. Epoxy materials are very important today. Epoxies are made up of very strong fibers. They are used in unmanned aerial vehicles, spacecraft and the rocket industry. In addition, their maximum and minimum hardening properties, good adhesion properties and wear resistance are also quite high. In this study, an Epoxy disk (T300) subjected to linear increasing temperature was modeled. The stresses obtained on the discs were determined by different methods. As can be seen from the results, for a temperature of 150 °C, the average stress, strain and compression occurring sequentially in the inner and outer regions of the disk acts as 215.06 and –443.90 MPa. According to the results obtained, it was concluded that there are parallel increases in stresses as the temperature increases, and this can be proven by other different studies in the literature. Epoxy ; Materials science ; Composite material ; Stress (linguistics) ; Structural engineering ; Mechanics ; Physics ; Engineering ; Philosophy Material Properties and Applications ; Epoxy Resin Curing Processes ; Advanced machining processes and optimization
Authors: Weikang Liu | Liang Liu | Zhuangzhi Li | Xiaomin Li | Kepeng Song | Xinyi Wu | G. D. Tang | Jihao Xie | Shuyun Wu | Bin Cheng | Bin Cui | Jifan Hu
Source: SSRN Electronic Journal (preprint, 2024-01-01)
Field: Materials Science — Materials Chemistry

Observation of Room-Temperature Ferromagnetism in Copper-Based Graphene Induced by Stress Engineering Ferromagnetism ; Graphene ; Copper ; Materials science ; Stress (linguistics) ; Condensed matter physics ; Composite material ; Engineering physics ; Metallurgy ; Nanotechnology ; Engineering ; Physics ; Philosophy Graphene research and applications ; Microstructure and mechanical properties ; Metallic Glasses and Amorphous Alloys
Authors: Erwin Lam | Tanguy Maury | Stefan Preiss | Yuhui Hou | Hannes Frey | Caterina Barillari | Paco Laveille
Source: ChemRxiv (preprint, 2024-11-01)
Field: Materials Science — Materials Chemistry

General Data Management Workflow to Process Tabular Data in Automated and Highthroughput Heterogeneous Catalysis Research Data management and processing are crucial steps to implement streamlined and standardized data workflows for automated and high-throughput laboratories. Electronic laboratory notebooks (ELNs) have proven to be effective to manage data in combination with a laboratory information management system (LIMS) to connect data and inventory. However, streamlined data processing does still pose a challenge on an ELN especially with large data. Herein we present a Python library that allows to streamline and automate data management of tabular data generated within a data-driven, automated high-throughput laboratory with a focus on heterogeneous catalysis R&D. This approach speeds up data processing and avoids errors introduced by manual data processing. Through the Python library, raw data from individual instruments related to a project are downloaded from an ELN, merged in a relational database fashion, processed and re-uploaded back to the ELN. Straightforward data merging is especially important, since information stemming from multiple devices needs to be processed together. By providing a configuration file that contain all the data management information, data merging and processing of individual data sources is executed. Having established streamlined data management workflows allows to standardize data handling and contributes to the implementation and use of open research data following Findable, Accessible, Interoperable and Reusable (FAIR) principles in the field of heterogeneous catalysis. Workflow ; Throughput ; Computer science ; Data management ; Process (computing) ; Database ; Research data ; Process management ; Data science ; Data mining ; Business ; Operating system ; Data curation Catalytic Processes in Materials Science ; Catalysis and Oxidation Reactions