Relevant bibliographies by topics / Machine-tools

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Machine-tools'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Machine-tools"

1

KAKINO, Yoshiaki. "Machine Tools." Journal of the Japan Society for Precision Engineering 75, no. 1 (2009): 80–81. http://dx.doi.org/10.2493/jjspe.75.80.

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TAKATA, Yoshiharu, and Akimitsu NAGAE. "History of Machine Tools and Museum of Machine Tools." Proceedings of Mechanical Engineering Congress, Japan 2020 (2020): S20105. http://dx.doi.org/10.1299/jsmemecj.2020.s20105.

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Corbett, J. "Smart machine tools." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 212, no. 3 (1998): 203–13. http://dx.doi.org/10.1243/0959651981539406.

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Improved manufacturing methods have become crucial factors in retaining global competitiveness for a wide range of products. This has led to the development of new automatic supervision techniques for use in smart machine tools. These are necessary because it is not possible to design and manufacture machine tool structures and systems with work zone areas of sufficient accuracy and repeatability to meet the improved performance requirements demanded by many modern manufacturing companies. The principal areas for automatic supervision of the machine tool are the tooling, appropriate machine el
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Moriwaki, Toshimichi. "Intelligent Machine Tools." Journal of the Society of Mechanical Engineers 96, no. 901 (1993): 1010–14. http://dx.doi.org/10.1299/jsmemag.96.901_1010.

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Landers, R. G., B. K. Min, and Y. Koren. "Reconfigurable Machine Tools." CIRP Annals 50, no. 1 (2001): 269–74. http://dx.doi.org/10.1016/s0007-8506(07)62120-9.

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Mpofu, Khumbulani. "Machine Morphology in Reconfigurable Machine Tools." IFAC Proceedings Volumes 45, no. 6 (2012): 391–98. http://dx.doi.org/10.3182/20120523-3-ro-2023.00389.

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ASAI, Hidekatsu. "Good Design of Machine Tools : Role of Design in Machine Tools." Journal of the Society of Mechanical Engineers 115, no. 1119 (2012): 90–92. http://dx.doi.org/10.1299/jsmemag.115.1119_90.

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Bauer, Joerg, Dominik Kern, Serdal Ayhan, et al. "Planar positioning stage for micro machining." Production Engineering 7 (July 3, 2013): 511–16. https://doi.org/10.1007/s11740-013-0474-2.

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The following article presents an approach for a novel positioning stage as basic component of a small machine tool. It is a parallelkinematic machine (BiGlide mechanism), which converts the linear motion of two linear axes into a planar motion. The novel features, which were identified to be crucial for the transition from conventional machine tools to small ones, are: compact and precise feed axes, backlash free motion transmission, and direct measurement of the tool-center-point position and the ability of additional fine positioning. The proposed implementations are: hydraulic feed units,
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Jóźwik, Jerzy. "Diagnostics of CNC machine tools spindle errors." Mechanik, no. 2 (February 2015): 127/197–127/210. http://dx.doi.org/10.17814/mechanik.2015.2.88.

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UENO, Shigeru. "On Machine Measuring System for Machine Tools." Journal of the Japan Society for Precision Engineering 75, no. 11 (2009): 1269–72. http://dx.doi.org/10.2493/jjspe.75.1269.

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Dissertations / Theses on the topic "Machine-tools"

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Zheng, Wenbo, and Hongxi Zhong. "Reconfigurable Machine Tools Design Methodology." Thesis, KTH, Industriell produktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-119082.

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In today’s industry, the competitive market, the short life time of the products and rapid change in customer demand forms a big trend of appearance of new manufacturing system. Reconfigurable Machine Tool (RMT) is a kind of solution for future machining systems, thus it can not only provide customized solutions to the operation requirements but also is cost-effective. Thethesis aims to create and implement methodology of RMT design for manufacturing industry. The methodology is introduced and extended according to the five principals of modular machine tool design. The methodology will be app
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Hedderich, Johannes. "Thermal stability in machine tools." Thesis, KTH, Industriell produktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185117.

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Reliable and stable processes allowing precision manufacturing are a core demand in today’s production. To achieve stable processes several influences on machine tools have to be controlled. Beside the other factors, thermal influences are among the most important factors infecting the production system.In this work two problems that are caused by thermal deviations are considered: Firstly the positioning error of machine tools, and secondly possible changes in the elastic behaviour of a machine tool due to changes in stiffness.Positioning problems due to thermal changes are widely examined in
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Dhairyawan, Amit. "Internet Tools for Machine Design." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/36488.

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The aim of this thesis is to provide academic support to the oldest discipline of Mechanical Engineering, namely "Machine Design". The rapid pace of technological development drives every individual, especially students. The industrial revolution in the first half of the 19th century contributed greatly to the advancement of Mechanical Engineering. The theories and experimental data from that time, some developed almost a hundred years ago are still in use in the original form while others have evolved to keep up with the times. This thesis attempts to bring some of that classical machine de
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Águila, Rodríguez Guillermo, and Álamo Alcalde Adrián del. "Identification of machine tools´ locations." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17432.

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The scope of this thesis will be focused on the machine FORMA Z1 which is one ofthe most functional amongst the sort of machines currently available in the market. Itprovides faster tool changes besides a huge variety of tool layouts with the possibility ofmaking a product with one only set up. Furthermore, the combi-beam rotation capability,together with dual sets of tools, give to the machine an exceptional competence.Through this project, some of the shortcomings in the usability of the machine are evaluatedto be able to give an accurate solution to provide it of extra functionalities, thus
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Khʹep, Chan. "A design and analysis of an active deformable cutter /." Thesis, Connect to Dissertations & Theses @ Tufts University, 2004.

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Thesis (Ph.D.)--Tufts University, 2004.<br>Advisers: Haris Doumanidis; Anil Saigal; Nikos Fourligkas. Submitted to the Dept. of Mechanical Engineering. Includes bibliographical references (leaves 72-73). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
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Cheatham, Robert Marshall. "A geometry-based motion planner for direct machining and control / /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1983.pdf.

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Kanburoglu, Furkan A. "Distributed Control System For Cnc Machine Tools." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610599/index.pdf.

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&ldquo<br>Numerically Controlled&rdquo<br>(NC) machine tools, which are automatically operated by encoded (digital) commands, are capable of machining components with quality and quantity. Manufacturing industry heavily depends on these machines. Many different control architectures have been adapted in today&rsquo<br>s CNC technology. Centralized control system is quite popular in industry due to its ease of implementation. If the number of controlled axes on a CNC machine tool (&gt<br>3), increases so does the computational burden on the central processors. Hence, more powerful processors
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Hall, Carsie Alvin. "Evaporative cooling effects in precision machine tools." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36012.

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Van, den Berg Gideon. "Hidden Markov models for tool wear monitoring in turning operations." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-05302005-114238/.

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Postlethwaite, Scott R. "Electronic based accuracy enhancement of CNC machine tools." Thesis, University of Huddersfield, 1992. http://eprints.hud.ac.uk/id/eprint/4663/.

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The need for better machine tool accuracy is discussed together with the factors which can affect machine tool accuracy. A study is made of the various techniques adopted for the reduction of errors in machine tools. The concept of error compensation is discussed and the different techniques for error compensation are appraised. A critical appraisal is presented of the work undertaken to date in the field of error compensation. Based on this appraisal a criterion is established for a universally applicable error compensation system. The development of a novel, patented microprocessor based mac
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Books on the topic "Machine-tools"

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Khan, Wasim Ahmed, Khalid Rahman, Ghulam Hussain, Ghulam Abbas, and Xiaoping Wang. Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985.

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Healey, Joseph F., Mary F. Babington, David A. Petina, and Tonia Ferrell. Machine tools. Freedonia Group, 2000.

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Publications, KeyNote, ed. Machine tools. 8th ed. Key Note Publications, 1990.

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Samantha, Miller, and Key Note Publications, eds. Machine tools. Key Note Publications, 1995.

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Publications, Key Note, ed. Machine tools. 7th ed. Key Note Publications, 1988.

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Phillippa, Smith, and Key Note Ltd, eds. Machine tools. Key Note Ltd, 1997.

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Tönshoff, Nils. Modular Machine Tools. Deutscher Universitätsverlag, 1997. http://dx.doi.org/10.1007/978-3-663-08773-1.

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Marketing Strategies for Industry (UK) Ltd. Machine tools, UK. MSI, 1986.

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MarketingStrategies for Industry (UK) Ltd., ed. Machine tools, UK. MSI, 1989.

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Emma, Clarke, and Key Note Publications, eds. Metalworking machine tools. Key Note, 2000.

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Book chapters on the topic "Machine-tools"

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Hinduja, Srichand, and Lin Li. "Machine Tools." In Proceedings of the 37th International MATADOR Conference. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4480-9_4.

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Shin, Yung C. "Machine Tools." In Handbook of Design, Manufacturing and Automation. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470172452.ch14.

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Meneghetti, Umberto. "Machine Tools." In History of Mechanism and Machine Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-81148-7_8.

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Khan, Ijlal Ullah, Muhammad Umair Shafiq, Abid Imran, Arsalan Arif, and Wasim Ahmed Khan. "Collaborative Robot with Collision Avoidance System." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-6.

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Israr, Rameez, and Johannes Buhl. "An Introduction to Additive Manufacturing (AM) of Metals and Its Trends in Wire-Arc Additive Manufacturing (WAAM) Simulations." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-8.

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Farooq, S. S., Muhammad F. Shah, Muhammad S. Sahar, Ghias M. Khan, Zareena Kausar, and Muhammad U. Farooq. "Internet of Things Advancements and Challenges in Manufacturing Industries." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-4.

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Nasir, Ali. "MATLAB® Simulation of Various Sliding Mode Control Techniques for Practical Applications." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-12.

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Youssef, Omar, Cuneyt Boz, and Volkan Esat. "Process Design for Hot Forging via Finite Element Analysis Considering Reverse Engineering." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-10.

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Hussain, G., Abid Imran, Salman Amin, et al. "Internet of Things-Enabled 3D Printer." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-5.

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Hussain, G., Wasim A. Khan, K. Rehman, et al. "Design, Manufacturing and Sustainability Analysis of Textile Spinning Machine." In Machine Tools. CRC Press, 2022. http://dx.doi.org/10.1201/9781003220985-7.

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Conference papers on the topic "Machine-tools"

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Klic, Daniel, Martin Minarcik, Ales Polzer, Jiri Tuma, Jiri Marek, and Michal Holub. "Digital Twin for CNC Machine Tools Design." In 2024 21st International Conference on Mechatronics - Mechatronika (ME). IEEE, 2024. https://doi.org/10.1109/me61309.2024.10789668.

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Sicard, Brett, Yuandi Wu, and Stephen Andrew Gadsden. "Digital Twin Enabled Asset Management of Machine Tools." In 2024 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE, 2024. http://dx.doi.org/10.1109/icphm61352.2024.10626334.

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Barile, Paolo, Aysel Alizada, and Clara Bassano. "- Statistical and Machine Learning Tools for Consonance Detection." In 2024 5th International Conference on Artificial Intelligence, Robotics and Control (AIRC). IEEE, 2024. http://dx.doi.org/10.1109/airc61399.2024.10672008.

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Wang, Xiaofeng, Liudi Wang, and Shiru Guo. "Small Sample Maintainability Analysis of CNC Machine Tools." In 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI). IEEE, 2025. https://doi.org/10.1109/iceaai64185.2025.10957425.

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Golendukhina, Valentina, Michael Felderer, and Lisa Sonnleithner. "Visualization Tools for Machine Learning Pipelines: A Review." In 2025 IEEE 18th Pacific Visualization Conference (PacificVis). IEEE, 2025. https://doi.org/10.1109/pacificvis64226.2025.00049.

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Zaeh, Michael F., Georg M. W. Wuensch, Clemens Poernbacher, and Michael S. O. Ehrenstrasser. "Emerging Virtual Machine Tools." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48756.

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In machine tool development, control software engineering has reached a cost proportion of over fifty percent of the total development costs. Highly customized user requirements and the compulsion to shorten development cycles accompany the need to master risen quality requirements of the mechatronic product machine tool. This enforces a strategy change from prevailing sequential engineering to concurrent engineering. The paper proposes a Hardware-in-the-Loop simulation environment as an interdisciplinary discussion platform to virtually implement, evaluate and optimize a machine tool througho
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Bandyopadhyay, B. P., and R. K. Bhatacharya. "Chatter Reduction in Machine Tools." In Earthmoving Industry Conference & Exposition. SAE International, 1991. http://dx.doi.org/10.4271/910956.

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Dobravec, Tomaz. "Java Virtual Machine Educational Tools." In 2019 IEEE 15th International Scientific Conference on Informatics. IEEE, 2019. http://dx.doi.org/10.1109/informatics47936.2019.9119263.

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Liao, Shuo-Jie, Wei-Lun Huang, and Li-Wei Tseng. "Electromechanical Simulation of Machine Tools." In 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA). IEEE, 2022. http://dx.doi.org/10.1109/iet-iceta56553.2022.9971672.

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Thenmozhi, M., Kavya A, Vishnu M, and Sumaiya Fathima. "Predictive Maintenance of Machine Tools." In 2024 International Conference on Science Technology Engineering and Management (ICSTEM). IEEE, 2024. http://dx.doi.org/10.1109/icstem61137.2024.10560666.

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Reports on the topic "Machine-tools"

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Maskit, Daniel, Yair Zadik, and Stephen Taylor. System Tools for the J-Machine. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada444288.

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Schiflett, Samuel G. Integration and Verification of Man-Machine Modeling Tools. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada284893.

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Adam, Gaelen P., Melinda Davies, Jerusha George, et al. Machine Learning Tools To (Semi-) Automate Evidence Synthesis. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcwhitepapermachine.

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Introduction. Tools that leverage machine learning, a subset of artificial intelligence, are becoming increasingly important for conducting evidence synthesis as the volume and complexity of primary literature expands exponentially. In response, we have created a living rapid review and evidence map to understand existing research and identify available tools. Methods. We searched PubMed, Embase, and the ACM Digital Library from January 1, 2021, to April 3, 2024, for comparative studies, and identified older studies using the reference lists of existing evidence synthesis products (ESPs). We p
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Damazo, B. Some guidelines for implementing error compensation on machine tools. National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5236.

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Harris, Philip. Physics Community Needs, Tools, and Resources for Machine Learning. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1873720.

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Teodoridis, Florenta, Jino Lu, and Jeffrey Furman. Mapping the Knowledge Space: Exploiting Unassisted Machine Learning Tools. National Bureau of Economic Research, 2022. http://dx.doi.org/10.3386/w30603.

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Yee, Kenneth W., and Robert J. Gavin. Implementing fast part probing and error compensation on machine tools. National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4447.

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Vorburger, T. V., K. W. Yee, B. R. Scace, and F. F. Jr Rudder. A strategy for the quality control of automated machine tools. National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4773.

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Jokisaari, Andrea, William Yorgason, and Mathew Swisher. Hybrid physics-based and machine learning tools for materials assessment. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2382679.

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Belianinov, Alex. Machine Learning for Predictive Performance Analysis in Charged Particle Beam Tools. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2430302.

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