Revealing crystal structures robotically ACN Newswire

Revealing crystal structures robotically

December 2, 2022
TSUKUBA, Japan, Dec 2, 2022 - (ACN Newswire via SEAPRWire.com) - Researchers at the National Institute for Materials Science (NIMS) in Japan have automated a complex and labour-intensive process for analysing the results of X-ray diffraction studies, which are used to determine the structure of crystalline materials. The team described the development and application of their technique in the journal Science and Technology of Advanced Materials: Methods.By combining machine learning with robotic process automation, researchers automated a mathematical procedure that determines the structure of crystalline materials. (Credit: ktsdesign/123rf)X-rays fired at a crystal interact with the geometric arrangement of its particles and are diffracted in many directions in a complex pattern of rays that depends on the crystal's precise structure. Experts analyse the pattern and intensity of the diffracted X-rays to determine the crystal's internal arrangement. This is a powerful and widely used process for revealing the three-dimensional atomic structure of new materials.A well-established mathematical procedure, called Rietveld analysis, is used for interpreting X-ray diffraction data, but it is time-consuming and requires manual trial-and-error refinement of the results."To reduce human costs and resources, we have developed a robotic process automation (RPA) system that we apply to an existing Rietveld analysis program called RIETAN-FP," says Ryo Tamura of the NIMS team. "By using our new procedure, with the help of machine learning, we have succeeded in performing Rietveld analysis automatically," Tamura adds.The automation can be run on a personal computer and can reduce human error as well as greatly speed up the data analysis.Tamura explains that the field of materials science already relies on numerous graphical user interface (GUI) applications to calculate a material's properties, control experimental equipment, or analyse material data. He says that combining this new RPA and machine learning ability with these applications achieves a "closed loop" to automatically design and analyse materials with minimal human intervention.The researchers verified the accuracy of their procedure by analysing samples of powdered compounds whose crystal structures are already known. The ability to determine the structures from powdered samples is one of the great strengths of Rietveld analysis. It avoids the need to grow large single crystals, which can be extremely difficult to obtain for some materials."Automating Rietveld analysis brings a very powerful new tool into the entire field of materials science," Tamura concludes.The researchers are now working to further refine their procedure to make it suitable for more complex crystal structures. Another aim is to explore the use of their machine learning RPA strategy for more general applications in materials science. The possibilities include numerous simulation methods used for calculating material properties, and also applications for controlling experimental equipment. The success achieved thus far with X-ray diffraction could just be the start for Rietveld robotics.Further informationRyo Tamura National Institute for Materials ScienceEmail: tamura.ryo@nims.go.jpAbout Science and Technology of Advanced Materials: Methods (STAM Methods)STAM Methods is an open access sister journal of Science and Technology of Advanced Materials (STAM), and focuses on emergent methods and tools for improving and/or accelerating materials developments, such as methodology, apparatus, instrumentation, modeling, high-through put data collection, materials/process informatics, databases, and programming. https://www.tandfonline.com/STAM-MDr. Yasufumi NakamichiSTAM Methods Publishing DirectorEmail: NAKAMICHI.Yasufumi@nims.go.jpPress release distributed by Asia Research News for Science and Technology of Advanced Materials. Copyright 2022 ACN Newswire. All rights reserved. (via SEAPRWire)
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Fujitsu and Phytocontrol to collaborate on offering food contaminant analysis service via Fujitsu Computing as a Service (CaaS) JCN Newswire

Fujitsu and Phytocontrol to collaborate on offering food contaminant analysis service via Fujitsu Computing as a Service (CaaS)

September 16, 2022
TOKYO, Sep 16, 2022 - (JCN Newswire via SEAPRWire.com) - Fujitsu today announced the start of a strategic collaboration with Phytocontrol Group (hereinafter Phytocontrol)(1), French leader in contaminant analysis for environmental and food safety. In August, the two companies signed a memorandum of understanding, and as part of this cooperation Fujitsu and Phytocontrol will develop chromatography(2) analysis services supported by artificial intelligence.Figure: Image of the serviceThese services aim to contribute to ensuring food safety by speeding up and improving the accuracy of contaminant analysis in the food industry and to contribute to the digital transformation (DX) of various analytical business processes by expanding services based on this analysis technology to other industries including healthcare and cosmetics on a global level.Together, Fujitsu and Phytocontrol will offer end to end AI chromatography analysis technology via "Fujitsu Computing as a Service" (CaaS) - Fujitsu's service portfolio that makes advanced computing technologies available to users via the cloud - to provide chromatography analysis services to food companies, distributors, and regulators over the world. Fujitsu and Phytocontrol aim to start provision of the new service during fiscal 2023.This collaboration with Phytocontrol is an element in Fujitsu's ongoing commitment to providing optimal IT environments and solutions that meet the diverse needs of customers under Fujitsu Uvance, its global business brand to realize a sustainable world.Global food crisis: growing need for food securityThe ever-worsening global food crisis remains an ongoing issue, as approximately 400,000 people worldwide die each year from the consumption of contaminated food(3). To this end, food safety and ensuring that contaminants and pollutants do not enter the food production and supply chain represents an important task. However, the fast and accurate analysis of contaminants in food gained in importance in recent years due to increasing numbers of a variety of contaminants in food and the need to analyze a growing number of different food samples.To address this issue, Fujitsu and Phytocontrol in 2020 developed a system integrating Fujitsu's AI technology that automates the process of contaminants analyses in food and water. The AI system is not only able to accelerate analysis time from the extraction of raw data per sample to the verification of results by a factor of 5, but can also reduce human errors, improving operational efficiency and accuracy significantly(4).Based on these efforts, Fujitsu and Phytocontrol started further cooperation to offer their AI based analysis system as a service via Fujitsu's CaaS to provide advanced and easy-to-use technology to a wide range of players in the food industry.Outline of Collaboration1. Global provision of CaaS component analysis services for food contaminationFujitsu's CaaS encompasses advanced computing resources like Fujitsu's quantum inspired Digital Annealer technology, the computing technology of supercomputer Fugaku, and software applications that allow a wide range of users to solve problems with AI and machine learning via the cloud. Fujitsu CaaS will be available to the Japanese market in October 2022 and expanded to the global market during fiscal 2023. As part of their collaboration, Fujitsu and Phytocontrol will build a food contaminant component analysis service that they aim to provide to a wide variety of stakeholders, including food companies, distributors, and regulatory authorities via Fujitsu's CaaS. The two companies aim to support fast and accurate analysis of contaminant components in the food industry and to contribute to ensuring food safety.2. Expansion into other industries including healthcare and cosmeticsThe two companies plan to apply services based on AI chromatography analysis technology to a wide range of industries besides the food industry, including healthcare and cosmetics and plan to offer services to the European and global market. In this way, Fujitsu and Phytocontrol aim to not only ensure safety in the food industry, but also to contribute to solving issues in various industries by promoting DX.Toshiaki Ariyama, SVP, Head of Uvance Core Technology Unit, Fujitsu Limited, comments:Through this strategic collaboration, we look forward to providing a wide range of cloud services via "CaaS" based on Phytocontrol and Fujitsu's accumulated technologies and know-how. Together, we aim to deliver a service that ensures the safety of food and water, supports people's lives, and contributes to the realization of a sustainable society.Mikael Bresson, Founder and CEO of Phytocontrol Group comments:We are successfully working with Fujitsu for more than 2 years now to digitalize our production processes. We believe that the "Fujitsu Computing as a Service" (CaaS) is a very good opportunity to speed-up and scale-up our collaboration to grow our business with fast and reliable chromatography analysis using artificial intelligence around the world.(1) Phytocontrol Group :Headquarters: Nimes, Frances; Founder and CEO: Mikael Bresson. Phytocontrol Group purpose is to guarantee the safety of food and the environment by providing innovative technical solutions and complete support for laboratory analyses, regulatory monitoring and training, quality audits and digital traceability. Its teams of specialists are structured around 3 markets AgriFood (food processing), Waters (hydrology) and BioPharma (Good Laboratory Practice studies) to meet the health safety needs of all types of clients. Phytocontrol thus strives to guarantee local support and a quality service that sets itself apart in terms of responsiveness and reliability. Find out more: www.phytocontrol.com(2) Chromatography :A general term for the separation and analysis of the components of compounds in substances. Since the elution time is different for each component, each component is separated and detected.(3) Approximately 400,000 people worldwide die each year from the consumption of contaminated food :(Source) World Health Organization (WHO) "Estimating the burden of foodborne diseases"(4) Fujitsu / Phytocontrol use caseAbout FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$32 billion) for the fiscal year ended March 31, 2022 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com. Copyright 2022 JCN Newswire. All rights reserved. (via SEAPRWire)
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Fujitsu Conducts Successful Large-scale Electromagnetic Wave Simulations for Space Industry, Urban Transport Use Cases with Solution for HPC Cloud JCN Newswire

Fujitsu Conducts Successful Large-scale Electromagnetic Wave Simulations for Space Industry, Urban Transport Use Cases with Solution for HPC Cloud

July 21, 2022
TOKYO, Jul 21, 2022 - (JCN Newswire via SEAPRWire.com) - Fujitsu today announced that it conducted successful large-scale electromagnetic wave simulations for a series of use cases in different industries using a cloud-based application for the supercomputer Fugaku(1).Figure 1 XRISM Satellite and radio intensity calculation resultsFigure 2 Overview of the analysis modelFujitsu envisions that this new analysis solution will help address issues related to electromagnetic interference between electronic components and communications equipment for customers in the space and urban transportation fields. To demonstrate its capabilities, Fujitsu conducted simulations for use cases in these two fields from January to March 2022 and confirmed the effectiveness of the analysis solution as a cloud service between April and July 2022.Through the simulations, Fujitsu demonstrated how to harness the power offered by the use of HPC resources through a cloud environment to execute precise simulations of complex and large-scale electromagnetic wave problems that could not be solved with conventional approximation algorithms(2).Fujitsu aims to provide solutions and consulting services related to electromagnetic compatibility testing by leveraging the solution's high-precision electromagnetic wave analysis capabilities as part of Fujitsu's Computing as a Service (Below, CaaS) portfolio by the end of FY 2023 in Japan. Fujitsu is further promoting "Sustainable Manufacturing" to achieve growth through the coexistence of people and the earth as one of its key focus areas under its global business brand, Fujitsu Uvance.BackgroundElectromagnetic interference between electronic components and communications equipment represents an ongoing challenge for manufacturers in a wide range of areas, including electronic equipment, automobiles, and space equipment, and demand for electromagnetic analysis solutions to evaluate electromagnetic compatibility is increasing. Accurate simulations of complex and large-scale electromagnetic wave interference problems require computing power, and users without access to an HPC environment need to perform simulations using conventional approximation algorithms that offer only limited analysis accuracy.Fujitsu plans to provide its electromagnetic wave analysis solution to address this challenge. The solution, available as a cloud-based application, relies on the FDTD method(3) to obtain accurate outcomes and will allow users from a wide range of industries to easily access Fujitsu's advanced computing technologies.To verify the effectiveness of its solution as a new cloud-service, Fujitsu conducted large-scale electromagnetic wave simulations in the following two areas.Outline of the verification tests1. Quantitative evaluation of electromagnetic interference problems in latest X-ray space telescopes(Case study by JAXA Institute of Space and Astronautical Science)The Japan Aerospace Exploration Agency (JAXA) utilized Fujitsu's wave analysis solution to conduct large-scale electromagnetic wave simulations evaluating the radio wave intensity in the X-ray spectrometer(4) of JAXA's X-ray imaging satellite XRISM(5). Utilizing Fujitsu's solution, JAXA was able to generate an experiment environment that simulates observation conditions as in outer space and conducted evaluations that could not be performed with traditional computing methods(6). As a result, JAXA successfully confirmed that the radio wave intensity in XRISM's X-ray spectrometer is at a level that does not affect the observation performance of the satellite even on orbit.Details of the simulations:- Analysis target: X-ray spectroscopic imaging satellite XRISM- Analysis scale: up to 193.5 billion grids- Analysis time: 3 hoursComment from Masahiro Tsujimoto, Associate Professor, JAXA Institute of Space and Astronautical Science:"High-frequency simulations using CAD models of all satellites, which have been difficult to perform with traditional computing methods, can be performed with a single solution now thanks to Fujitsu. This represents a major technical advance in satellite design. In the XRISM satellite project, the results of this simulation played an important role in quantitatively evaluating unverified risks and confirming the validity of the design."2. Evaluation of communication quality of roadside-to-vehicle communication using 5G to contribute to safer traffic and accident prevention in urban areasFujitsu conducted large-scale electromagnetic wave simulations utilizing its wave analysis solution to evaluate roadside-to-vehicle (high-speed 5G) communication quality between transmitters installed at intersections and receivers installed in vehicles. In the simulations, Fujitsu also observed the effect of obstacles including surrounding buildings, roadside objects, and other vehicles in urban areas on communications quality(7). Fujitsu further directly calculated the strength and delay spread(8) of radio waves received by each vehicle's receiving antenna from transmitters installed at intersections using FDTD method simulations to achieve exact communication quality evaluation.As a result, Fujitsu successfully conducted electromagnetic wave simulations analyzing a large urban area model taking into account complex wavelength orders(9) and proved that simulations conducted with its wave analysis solution can deliver accurate results that incorporate the effect of interference caused by complex obstacles in urban areas.Details of the simulations:- Analysis target: Intersection area city model including detailed model of roads and surrounding objects (model of the crossing in front of Musashinakahara station of JR Nambu Line in Nakahara-ku, Kawasaki City, Kanagawa Prefecture, Japan)- Analysis size: 1 trillion grids- Analysis time: Approximately 3 hoursAcknowledgementsThe analyses mentioned in this release were conducted as part of the "Research for an environment to run scientific simulation software on Fugaku," a collaborative research project for a trial cloud-like use service using the computational resources of the supercomputer Fugaku, with computing resources provided by the RIKEN Center for Computational Science. (Project #: ra010012).(1) Supercomputer Fugaku :A computer installed at RIKEN as a successor to "K computer". From June 2020 to November 2021, Fugaku ranked first for four consecutive years in four of the major high-performance computer rankings. Fugaku was made available for shared use staring March 9, 2021.(2) Approximation algorithms :A method used to efficiently obtain the best possible solution in a realistic time for a problem for which it is difficult to obtain an exact solution. However, approximation is performed under a certain condition constraint, and a calculation result close to an exact solution can be obtained only when the condition constraint is satisfied. If not, an accurate calculation result cannot be obtained.(3) FDTD method :"Finite-Difference Time-Domain Method," a method for calculating the behavior of electromagnetic waves using a computer. An exact solution of Maxwell's equations in time and space by the finite difference method.(4) X-ray spectrometer :A device that detects electromagnetic waves in the X-ray region by decomposing them for each wavelength.(5) X-ray imaging satellite XRISM :X-Ray Imaging and Spectroscopy Mission. JAXA's seventh X-ray astronomy satellite project launched in 2018 with the cooperation of NASA and ESA. The XRISM, which is 5 to 6 meters long and has an 8-plane cylindrical shape, is equipped with an X-ray imager with a wide field of view and an X-ray spectrometer with the world's best spectroscopic performance cooled at extremely low temperatures.(6) The X-ray spectroscopic imaging satellite XRISM, which is scheduled to be launched in fiscal 2022, is equipped with an X-ray imager with a wide field of view and an X-ray spectrometer cooled to a very low temperature. Since X-ray spectrometers are highly sensitivity towards even small energy inputs, it is necessary to minimize the effect of noise on X-ray spectrometers caused by signals other than celestial bodies, especially communication radio waves with the ground, so as not to affect the observation performance of celestial bodies. Normally, risks related to electromagnetic interference are verified by satellite tests before launch, but since X-ray spectrometers cooled to very low temperatures must be kept in a vacuum chamber and cannot be opened on the ground due to impacts of the atmosphere, the same observation conditions as in outer space cannot be realized in experiments on the ground, and sufficient verification has not been possible until now. To address this issue, JAXA utilized Fujitsu's wave analysis solution to conduct large-scale electromagnetic wave simulations in which the vacuum tank cover was opened based on data modeling of the complex and detailed structure of the satellite.(7) Communication quality of vehicle-to-vehicle and roadside-to-vehicle communication in urban space is affected not only by communication distance but also by surrounding buildings, roadside objects, and other vehicles. To realize stable, high-speed 5G communications, it is important to evaluate communication quality as these effects increase along with a higher communication speed. Analysis of communication quality proved to be difficult until now as approximation algorithms do not support evaluation of the effects of complex buildings, large objects and other obstacles.(8) Delay spread :An index that affects the error rate in digital communication. The larger the value, the more likely the communication throughput speed is to decrease.(9) Wavelength order :A length close to the wavelength of electromagnetic waves (for example, at 4.7 GHz, about 6.4 centimeters). If the shape of the object has a complexity of less than this length, an approximate solution cannot be used in electromagnetic wave simulation, but must be solved by an exact solution such as the FDTD method featured by Fujitsu's analysis solution.About FujitsuFujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$32 billion) for the fiscal year ended March 31, 2022 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com. Copyright 2022 JCN Newswire. All rights reserved. (via SEAPRWire)
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Bulls Inc. Charge into the Bear Market Bringing True Utility SeaPRwire

Bulls Inc. Charge into the Bear Market Bringing True Utility

July 19, 2022
New York, USA, July 18, 2022 – (SEAPRWire) – Bulls Inc. lands in the bear market running, standing out amongst an NFT space never more saturated with projects that offer little to no utility. Set up to be more than just another profile picture (PFP) project, Bulls Inc. aims to be a blue chip token, and over time; a household name in the NFT industry. Who are Bulls Inc? Bulls Inc. are an exclusive NFT Club project set to revolutionize the standards of utility in the NFT space for the foreseeable future. Featuring a total of 4,444 Bulls Inc. NFTs including 5 Super Rare Mystic Bulls, the combination of quality artwork, and NFT utility provides holders with immeasurable value. Automatic whitelist status for future Bulls Inc. products, exclusive giveaways, insider access, and far more are in store for Bulls Inc. holders. Bulls Inc. has already hit all stages of the Q1 of their roadmap, including the acquisition of high-level partnerships, the relaunch of the official website, Discord & Twitter, and the migration of the Bulls Inc. NFT Club towards a utility-based project. Hitting the first stage of their Q2 roadmap milestone, OG Minter Perks have already been launched, and a wide range of tools are set to be released in the coming months. Emphasising exclusivity, Bulls Inc. introduces members-only NFT Alpha Tools – available only to holders – which include some of the following: Analyzer Tool: Discover the rarity of new NFT collections using Deep Trait Analysis to identify the most valuable traits on any collection. Already released.Contract monitoring: Continuously monitoring of NFT contracts for reveal events. Already released.Rapid analysis on reveal: Within minutes of a collection being revealed, the rarity and trait analysis is available for Bulls Inc Club members. Already released.Notifications: Club members can subscribe to reveal events and receive rarity analysis immediately when they drop. Already released.Drop Sniping: Never miss out again by sniping NFTs as and when they are dropped.Bid automation: Automating the mass bidding process, so you don’t have to. Containing this level of utility within just one NFT grants Bulls Inc. NFT holders the opportunity to seize exponential value-over-time, rather than just another quick flip. How to Become a Member To reserve a place at the Bulls Inc. before the opportunity rushes by, see the links below to join the community, review the website, and mint one before they’re gone! Social Links Discord: http://Discord.gg/bullsincnfts Twitter: https://twitter.com/BullsIncNFTS Media Contacts Brand: Bulls Inc. Contact: Michael Crown, Marketing Lead Email: team@bulls.inc Website: https://bulls.inc/ SOURCE: Bulls Inc. The article is provided by a third-party content provider. SEAPRWire ( https://www.seaprwire.com/ ) makes no warranties or representations in connection therewith. Any questions, please contact cs/at/SEAPRWire.com Sectors: Top Story, Daily News SEA PRWire: PR distribution in Southeast Asia (Hong Kong: AsiaExcite, EastMud; AsiaEase; Singapore: SEAChronicle, VOASG; NetDace; Thailand: SEAsiabiz, AccessTH; Indonesia: SEATribune, DailyBerita; Philippines: SEATickers, PHNotes; Malaysia: SEANewswire, KULPR; Vietnam: SEANewsDesk, PostVN)
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ULVAC-PHI Launches Sales of Latest XPS System that Dramatically Accelerates Battery Research and Development ACN Newswire

ULVAC-PHI Launches Sales of Latest XPS System that Dramatically Accelerates Battery Research and Development

July 5, 2022
Chigasaki, Japan, Jul 5, 2022 - (ACN Newswire via SEAPRWire.com) - ULVAC-PHI Incorporated has launched the PHI GENESIS, an automated and multi-function scanning X-ray photoelectron spectrometer (XPS: X-ray Photoelectron Spectroscopy or ESCA: Electron Spectroscopy for Chemical Analysis). The PHI GENESIS is the united model of PHI's multi-functional scanning XPS instruments and was designed for automation and simplified operation.PHI GENESIS scanning X-ray photoelectron spectrometerBackgroundAdvanced materials such as all-solid-state batteries, advanced semiconductors, and artificial photosynthesis are complex combinations of materials, and their research and development require speed in optimizing the performance of each material as well as the combination of materials. There is a growing need for high-performance and highly functional surface and interface analysis that can dramatically accelerate such research and development. ULVAC-PHI begins offering a new surface analysis system that not only offers extremely high basic performance but also a high degree of automation to meet the various individual requirements of worldwide customers. The solution is the new "PHI GENESIS" scanning X-ray photoelectron spectrometer (XPS) from ULVAC-PHI.SummaryThe "PHI GENESIS" XPS is a new product that combines the core "GENESIS" of the PHI surface analysis instruments, which has a 50-year tradition of advanced automation and reduced analysis time, with expandability, and offers overwhelming basic performance in a compact housing. The "PHI GENESIS" XPS provides high-speed, high-sensitivity, and overwhelming micro XPS analysis performance with automated multi-sample analysis with automatic sample exchange. A high-sensitivity analyzer with an improved counting rate also contributes to high performance. To date, ULVAC-PHI and Physical Electronics USA, a subsidiary of ULVAC-PHI, have developed various world-first XPS analysis technologies including scanning micro XPS and HAXPES (hard x-ray photoelectron spectroscopy), fully automated robotics XPS analysis, full-automatic insulator neutralization analysis, depth profiling of organic materials using cluster etching ion gun. All of these technologies are incorporated into a single instrument, making it possible to provide state-of-the-art XPS analysis technology for all kinds of materials, including metals, semiconductors, ceramics, and organic materials.Another novel feature of PHI GENESIS is a new software package designed for ease of use and designed for all levels of users, from surface analysis beginners to well-trained scientists, from manufacturing to cutting-edge research and development. We have also prepared several options that allow customers to perform advanced analyses that previously required sophisticated analytical equipment such as a large synchrotron in a typical laboratory environment.PHI GENESIS is fully compatible with the analysis of today's most advanced composite solid materials and composite solid devices and aims to dominate the global market as an indispensable analytical instrument for speeding up research and development.About ULVAC-PHI, IncorporatedULVAC-PHI, Incorporated was founded in 1982 and provides advanced surface analysis instruments to universities and leading-edge industries worldwide for research and development. The company provides comprehensive surface analysis technology-based solutions for materials and devices including metals, polymers, semiconductors, batteries, organic and inorganic devices and microelectronics. For more information, visit https://www.ulvac-phi.com/en/.X-ray photoelectron spectroscopy (XPS) XPS (X-ray Photoelectron Spectroscopy) is one of the most popular surface chemical analysis techniques that can provide chemical information on the top few atomic layers of a solid surface. XPS can provide qualitative and quantitative chemical information on solid surfaces by evaluating the energy and intensity of X-ray-induced electrons (photoelectrons). XPS is provided to universities and industrial research facilities as well as for quality control and quality assurance purposes, as it shows excellent features for the analysis of surface and interface phenomena such as coloration, adhesion, sliding, catalyst, thin-film interfaces and electrical contacts. For inquiries regarding this matter, please contactProduct Strategy Department, ULVAC-PHI CorporationTEL: +81-467-85-4220 (Sales)Related websitehttps://www.ulvac-phi.comhttps://www.surf-analysis.com Copyright 2022 ACN Newswire. All rights reserved. (via SEAPRWire)
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