Tootfinder

A four-day US military drone exercise in Alaska exposed significant technological and operational gaps compared to Chinese and Russian drone capabilities (Farah Stockman/New York Times)
https://www.nytimes.com/2025/07/13/business/drones-us-military-manu…

Why the U.S. Is Way Behind China in Making Drones for War
A four-day test in the Alaska wilderness shows how far the U.S. military and American drone companies lag behind China in the technology.

🇺🇦 #NowPlaying on KEXP's #SeekAndDestroy
Nuclear Tomb:
🎵 Manufacturing Consent
#NuclearTomb
https://nucleartomb1.bandcamp.com/track/manufacturing-consent
https://open.spotify.com/track/29WxwJk4wgdCJ8dXTg2rpM

We Warned About the First China Shock. The Next One Will Be Worse. (New York Times)
https://www.nytimes.com/2025/07/14/opinion/china-shock-economy-manufacturing.html?unlocked_article_code=1.WU8.7_Fm.02mGY1X6vQ8p&smid=nytcore-ios-share&referringSource=articleShare
http://www.memeorandum.com/250714/p56#a250714p56

Energy Aware Camera Location Search Algorithm for Increasing Precision of Observation in Automated Manufacturing
Rongfei Li, Francis Assadian
https://arxiv.org/abs/2506.10251

Energy Aware Camera Location Search Algorithm for Increasing Precision of Observation in Automated Manufacturing
Visual servoing technology has been well developed and applied in many automated manufacturing tasks, especially in tools' pose alignment. To access a full global view of tools, most applications adopt eye-to-hand configuration or eye-to-hand/eye-in-hand cooperation configuration in an automated manufacturing environment. Most research papers mainly put efforts into developing control and observation architectures in various scenarios, but few of them have discussed the importance of the camera…

Modern manufacturing is so amazing. Just the first 40 seconds of this video is astounding. We have a little Beelink mini PC as a Linux server and it's great. Can't believe they cold press then CNC mill to make the exterior of the metal enclosure! #minipc

Modern manufacturing is so amazing. Just the first 40 seconds of this video is astounding. We have a little Beelink mini PC as a Linux server and it's great. Can't believe they cold press then CNC mill to make the exterior of the metal enclosure! #minipc

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Risk-based Design Optimization for Powder Bed Fusion Metal Additive Manufacturing
Yulin Guo, Boris Kramer
https://arxiv.org/abs/2506.09294 https://

Risk-based Design Optimization for Powder Bed Fusion Metal Additive Manufacturing
Powder bed fusion is a widely used additive manufacturing (AM) process for producing complex, small-batch parts that are impractical to manufacture using conventional methods. However, its broader adoption is hindered by process-induced defects. The challenge in AM stems from inherent material and process uncertainties. Therefore, it is critical to account for these uncertainties in the design optimization and control of powder bed fusion AM processes. In this work, we formulate and solve a des…

#Vietnam amid an unsustainable rush.
"The race to get out of China has gathered so much pace in recent weeks that a social media genre of fixers has surfaced to offer tips on how to reroute goods through not only Vietnam, but places like Thailand and Malaysia too."

Additive Manufacturing of Lunar Regolith for Reconfigurable Building Blocks toward Lunar Habitation
Cole McCallum, Youwen Liang, Nahid Tushar, Ben Xu, Bo Zhao, Hao Zeng, Wan Shou
https://arxiv.org/abs/2506.06392

Additive Manufacturing of Lunar Regolith for Reconfigurable Building Blocks toward Lunar Habitation
Utilizing locally available materials is a crucial step towards sustainable planetary habitation. Lunar regolith has gained tremendous interest in additive manufacturing in the past decades. However, due to the constrained manufacturing facilities and materials on the moon, many existing additive manufacturing methods are not suitable for practical on-site manufacturing. Here, we envision that light-based direct sintering of lunar regolith can be a feasible approach. Instead of directly manufac…

Manufacturing Authenticity cartoon - Marketoonist | Tom Fishburne https://marketoonist.com/2025/06/manufacturing-authenticity.html

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
Bo Fu, Mingjie Bi, Shota Umeda, Takahiro Nakano, Youichi Nonaka, Quan Zhou, Takaharu Matsui, Dawn M. Tilbury, Kira Barton
https://arxiv.org/abs/2506.07332

Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling
The increasing complexity of modern manufacturing, coupled with demand fluctuation, supply chain uncertainties, and product customization, underscores the need for manufacturing systems that can flexibly update their configurations and swiftly adapt to disturbances. However, current research falls short in providing a holistic reconfigurable manufacturing framework that seamlessly monitors system disturbances, optimizes alternative line configurations based on machine capabilities, and automate…

Anomaly Detection and Generation with Diffusion Models: A Survey
Yang Liu, Jing Liu, Chengfang Li, Rui Xi, Wenchao Li, Liang Cao, Jin Wang, Laurence T. Yang, Junsong Yuan, Wei Zhou
https://arxiv.org/abs/2506.09368

Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by identifying unexpected patterns that deviate from established norms in real-world data. Recent advancements in deep learning, specifically diffusion models (DMs), have sparked significant interest due to their ability to learn complex data distributions and generate high-fidelity samples, offering a robust framework for unsupervised AD. In this surve…

A Neutron Sensitive Detector Using 3D-Printed Scintillators
Adam Barr, Cinzia da Vi\`a, Mosst Tasnim Binte Shawkat, Stephen Watts, John Allison, Gabriele D'Amen
https://arxiv.org/abs/2507.08663

A Neutron Sensitive Detector Using 3D-Printed Scintillators
This work reports on the performance of a novel neutron-sensitive scintillating detector fabricated using Fused-Deposition Modelling (FDM) additive manufacturing. FDM is a cost-effective 3D-printing method employing flexible plastic filaments to create custom-shaped components. Scintillating filaments, based on polystyrene doped with \emph{p}-terphenyl and 1,4-bis (5-phenyloxazol-2-yl) benzene, and enriched with $^6$LiF to enable neutron sensitivity were manufactured in house and achieved visib…

Laser Guided Microbubble Lithography for Multilayer Biophotonic Heterostructures
Anand Dev Ranjan, Suyash Narayan Amzare, Subhrokoli Ghosh, Ayan Banerjee
https://arxiv.org/abs/2506.10320

Laser Guided Microbubble Lithography for Multilayer Biophotonic Heterostructures
The fabrication of multilayered heterostructures is essential for advancing microelectronic and biosensing technologies. Conventional top-down manufacturing techniques are often cost-prohibitive and unsuitable for biomedical applications. Here, we present a bottom-up fabrication method, termed microbubble lithography, which enables the in situ construction of multilayered microstructures through layer-by-layer self-assembly. This technique allows diverse materials to be integrated into coherent…

Never Trust the Manufacturer, Never Trust the Client: A Novel Method for Streaming STL Files for Secure Additive
Seyed Ali Ghazi Asgar, Narasimha Reddy, Satish T. S. Bukkapatnam
https://arxiv.org/abs/2507.06421

Never Trust the Manufacturer, Never Trust the Client: A Novel Method for Streaming STL Files for Secure Additive
While additive manufacturing has opened interesting avenues to reimagine manufacturing as a service (MaaS) platform, transmission of design files from client to manufacturer over networks opens up many cybersecurity challenges. Securing client's intellectual property (IP) especially from cyber-attacks emerges as a major challenge. Earlier works introduced streaming, instead of sharing process plan (G-code) files, as a possible solution. However, executing client's G-codes on manufacturer's mach…

Trump's economic and tariff chaos is causing businesses to back off expansion plans.
https://scdailygazette.com/2025/06/05/electric-vehicle-battery-company-halts-construction-of-sc-manufacturing-plant/

"Adolf Hitler was a master of manufacturing public-security crises to advance his authoritarian agenda."
He has companions.
#Trump
#TrumpAdministration

Hitler Used a Bogus Crisis of ‘Public Order’ to Make Himself Dictator
Using disorder he had helped manufacture, the chancellor seized control of Bavaria.

Strategic Adoption of 3D Printing in Multi-Product Supply Chains: Cost and Capacity Considerations
Mohammad Ebrahim Arbabian
https://arxiv.org/abs/2506.10198

Strategic Adoption of 3D Printing in Multi-Product Supply Chains: Cost and Capacity Considerations
This paper explores the integration of Additive Manufacturing (or 3D printing) into decentralized supply chains, focusing on the strategic decisions manufacturers and retailers make when facing capacity constraints. Using a Stackelberg game framework, we analyze how AM impacts traditional wholesale pricing across two scenarios. First, a manufacturer producing two distinct products and second, a case involving multiple products, each affected by AM's capacity limitations. For the first scenario,…

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Nexus of Team Collaboration Stability on Mega Construction Project Success in Electric Vehicle Manufacturing Enterprises: The Moderating Role of Human-AI Integration
Jun Cui
https://arxiv.org/abs/2506.06375

Nexus of Team Collaboration Stability on Mega Construction Project Success in Electric Vehicle Manufacturing Enterprises: The Moderating Role of Human-AI Integration
This study investigates how team collaboration stability influences the success of mega construction projects in electric vehicle manufacturing enterprises, with human-AI integration as a moderating variable. Using structural equation modeling (SEM) with data from 187 project teams across China's electric vehicle sector, results indicate that team collaboration stability significantly enhances project success. The moderating effect of human-AI integration strengthens this relationship, suggesti…

Lithuania, Finland pivot to landmine production, potentially supplying to Ukraine, Reuters reports: https://benborges.xyz/2025/07/09/lithuania-finland-pivot-to-landmine.html

#CoWoS, or Chip-on-Wafer-on-Substrate,
is one of TSMC’s most advanced ways of packaging chips.
It allows several chips to work closely together as one,
making the whole system faster and more efficient while using less energy.

Why this key chip technology is crucial to the AI race between the US and China
In the largest single foreign investment in US history, Taiwan Semiconductor Manufacturing Company (TSMC), the world’s “most powerful company” according to US President Donald Trump, unveiled a $100 billion investment, drawing global attention and prompting concern in Taiwan.

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Ray Wai Man Kong
https://arxiv.org/abs/2506.08039 https://…

AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production
Efficiency, speed, and precision are essential in modern manufacturing. AI Maglev Conveyor system, combining magnetic levitation (maglev) technology with artificial intelligence (AI), revolutionizes automated production processes. This system reduces maintenance costs and downtime by eliminating friction, enhancing operational efficiency. It transports goods swiftly with minimal energy consumption, optimizing resource use and supporting sustainability. AI integration enables real-time monitorin…

Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
Jiawen Li, Jiang Guo, Yuanzhe Li, Zetian Mao, Jiaxing Shen, Tashi Xu, Diptesh Das, Jinming He, Run Hu, Yaerim Lee, Koji Tsuda, Junichiro Shiomi
https://arxiv.org/abs/2506.07083

Inverse Design of Metamaterials with Manufacturing-Guiding Spectrum-to-Structure Conditional Diffusion Model
Metamaterials are artificially engineered structures that manipulate electromagnetic waves, having optical properties absent in natural materials. Recently, machine learning for the inverse design of metamaterials has drawn attention. However, the highly nonlinear relationship between the metamaterial structures and optical behaviour, coupled with fabrication difficulties, poses challenges for using machine learning to design and manufacture complex metamaterials. Herein, we propose a general f…

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa RYu
https://arxiv.org/abs/2506.00056

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy
Artificial intelligence (AI) is reshaping inverse design across manufacturing domain, enabling high-performance discovery in materials, products, and processes. However, purely data-driven approaches often struggle in realistic settings characterized by sparse data, high-dimensional design spaces, and nontrivial physical constraints. This perspective argues for a new generation of design systems that transcend black-box modeling by integrating domain knowledge, physics-informed learning, and in…

Bilayer graphene as a template for manufacturing novel 2D materials
Arkady V. Krasheninnikov, Yung-Chang Lin, Kazu Suenaga
https://arxiv.org/abs/2507.06447

Bilayer graphene as a template for manufacturing novel 2D materials
Recent intensive research on two-dimensional materials (2DMs) rekindle the interest in the intercalation of various atoms and molecules into layered compounds as a tool to manufacture 2DMs and tune their optoelectronic, magnetic and catalytic properties. Intercalation into free-standing bilayer graphene (BLG) has received special attention, as graphene is stable, chemically inert and enables one to study the atomic structure of the intercalated 2DM using high-resolution transmission electron mi…

Manufacturing Jobs Are Never Coming Back (Steven Rattner/New York Times)
https://www.nytimes.com/2025/06/06/opinion/trump-tariff-manufacturing-jobs-industrial.html
http://www.memeorandum.com/250606/p44#a250606p44

This https://arxiv.org/abs/2503.07268 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csOH_…

A High Efficient and Scalable Obstacle-Avoiding VLSI Global Routing Flow
Routing is a crucial step in the VLSI design flow. With the advancement of manufacturing technologies, more constraints have emerged in design rules, particularly regarding obstacles during routing, leading to increased routing complexity. Unfortunately, many global routers struggle to efficiently generate obstacle-free solutions due to the lack of scalable obstacle-avoiding tree generation methods and the capability of handling modern designs with complex obstacles and nets. In this work, we p…

this water tower turns out to be in arques on rue la fontaine (heh)
arques is the home of arc / luminarc / arcoroc crystal glass manufacturing
https://piaille.fr/@waldokanto/114640763979645639

Waldo Kanto :verified: (@waldokanto@piaille.fr)
Attaché : 1 image Liminalia hypernova 330

Communicating Through Avatars in Industry 5.0: A Focus Group Study on Human-Robot Collaboration
Stina Klein, Pooja Prajod, Katharina Weitz, Matteo Lavit Nicora, Dimitra Tsovaltzi, Elisabeth Andr\'e
https://arxiv.org/abs/2506.08805

Communicating Through Avatars in Industry 5.0: A Focus Group Study on Human-Robot Collaboration
The integration of collaborative robots (cobots) in industrial settings raises concerns about worker well-being, particularly due to reduced social interactions. Avatars - designed to facilitate worker interactions and engagement - are promising solutions to enhance the human-robot collaboration (HRC) experience. However, real-world perspectives on avatar-supported HRC remain unexplored. To address this gap, we conducted a focus group study with employees from a German manufacturing company tha…

A Service Architecture for Dataspaces
Benedikt T. Arnold, Christoph Lange, Christina Gillmann, Stefan Decker
https://arxiv.org/abs/2507.07979 https://

A Service Architecture for Dataspaces
Dataspaces are designed to support sovereign, trusted and decentralized data exchange between participants forming an ecosystem. They are standardized by initiatives such as the International Data Spaces Association or Gaia-X and have gained adoption in several domains such as mobility, manufacturing, tourism or culture. In dataspaces, participants use connectors to communicate peer-to-peer. The Eclipse Dataspace Components (EDC) Connector is a broadly adopted, open-source implementation that a…

LISTEN: Lightweight Industrial Sound-representable Transformer for Edge Notification
Changheon Han, Yun Seok Kang, Yuseop Sim, Martin Byung-Guk Jun, Hyung Wook Park
https://arxiv.org/abs/2507.07879

LISTEN: Lightweight Industrial Sound-representable Transformer for Edge Notification
Deep learning-based machine listening is broadening the scope of industrial acoustic analysis for applications like anomaly detection and predictive maintenance, thereby improving manufacturing efficiency and reliability. Nevertheless, its reliance on large, task-specific annotated datasets for every new task limits widespread implementation on shop floors. While emerging sound foundation models aim to alleviate data dependency, they are too large and computationally expensive, requiring cloud …

Building (or rebuilding) a manufacturing ecosystem - the skilled workforce and complex supply chain - takes time and money. I haven't seen much evidence that this is recognized, or supported, in #47's world, or indeed the "market" (the private investment that will take years to show a return on capital).
Interesting contrast between Foxconn in India:

Trump wants America to make iPhones. Here's how India Is doing it.
Explore the impact of Apple's new iPhone factory in Devanahalli, India, and its potential to reshape the country's manufacturing sector.

Building (or rebuilding) a manufacturing ecosystem - the skilled workforce and complex supply chain - takes time and money. I haven't seen much evidence that this is recognized, or supported, in #47's world, or indeed the "market" (the private investment that will take years to show a return on capital).
Interesting contrast between Foxconn in India:

Trump wants America to make iPhones. Here's how India Is doing it.
Explore the impact of Apple's new iPhone factory in Devanahalli, India, and its potential to reshape the country's manufacturing sector.

A profile of London-based CloudNC, a leading provider of AI-powered CNC software that is helping US manufacturers overcome a shortage of trained operators (Jeremy Kahn/Fortune)
https://fortune.com/2025/06/26/ai-manufacturing-parts-cnc-machines…

Can AI help America make stuff again? 
A British startup, CloudNC, is reshaping American manufacturing one precision part at a time.

COMS-Integrated Atomic Vapor Cells with Ultra-long Optical Access for Highly Sensitive and Scalable Quantum Sensors
Yintao Ma, Yao Chen, Mingzhi Yu, Yanbin Wang, Ju Guo, Ping Yang, Qijing Lin, Yang Lv, Libo Zhao
https://arxiv.org/abs/2507.05993

COMS-Integrated Atomic Vapor Cells with Ultra-long Optical Access for Highly Sensitive and Scalable Quantum Sensors
The most appealing features of chip-scale quantum sensors are their capability to maintain extreme sensitivity while enabling large-scale batch manufacturing. This necessitates high-level integration and wafer-level fabrication of atomic vapor cells. In this paper, we describe a micromachining paradigm for wafer-level atomic vapor cells functionalized by CMOS-compatible non-magnetic heaters and temperature sensors and demonstrate several innovative applications. Leveraging standard micro-nanofa…

The Law of Large Numbers and CLT for Non-stationary Markov Jump Processes Exhibiting Time-of-Day Effects
Monte Fischer, Peter W. Glynn
https://arxiv.org/abs/2506.08282

The Law of Large Numbers and CLT for Non-stationary Markov Jump Processes Exhibiting Time-of-Day Effects
In this paper, we develop a general law of large numbers and central limit theorem for finite state Markov jump processes with non-stationary transition rates. Such models commonly arise in service operations and manufacturing applications in which time-of-day, day-of-week, and secular effects are of first order importance in predicting system behavior. Our theorems allow for non-stationary reward environments that continuously accumulate reward, while including contributions from non-stationar…

China issues warrants for alleged Taiwanese hackers and bans a business for pro-independence links
https://apnews.com/article/chian-taiwan-hacking-wanted-kuma-f937096e3163470b21597b4ec809d799

China issues warrants for alleged Taiwanese hackers and bans a business for pro-independence links
China has issued warrants Thursday for 20 Taiwanese people it said carried out hacking missions in the Chinese mainland on behalf of Taiwan’s ruling party, while separately banning dealings with a Taiwanese company whose owners mainland authorities called “hardcore Taiwan independence supporters.” Police in the southern manufacturing hub of Guangzhou said they were led by a man named Ning Enwei on behalf of Taiwan’s independence-leaning Democratic Progressive Party but did not identify …

This https://arxiv.org/abs/2501.09023 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing -- A Defense-in-Depth Driven Framework and Taxonomy
The increasing cybersecurity threats to critical manufacturing infrastructure necessitate proactive strategies for vulnerability identification, classification, and assessment. Traditional approaches, which define vulnerabilities as weaknesses in computational logic or information systems, often overlook the physical and cyber-physical dimensions critical to manufacturing systems, comprising intertwined cyber, physical, and human elements. As a result, existing solutions fall short in addressin…

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

Laser Scan Path Design for Controlled Microstructure in Additive Manufacturing with Integrated Reduced-Order Phase-Field Modeling and Deep Reinforcement Learning
Augustine Twumasi, Prokash Chandra Roy, Zixun Li, Soumya Shouvik Bhattacharjee, Zhengtao Gan
https://arxiv.org/abs/2506.21815 …

Laser Scan Path Design for Controlled Microstructure in Additive Manufacturing with Integrated Reduced-Order Phase-Field Modeling and Deep Reinforcement Learning
Laser powder bed fusion (L-PBF) is a widely recognized additive manufacturing technology for producing intricate metal components with exceptional accuracy. A key challenge in L-PBF is the formation of complex microstructures affecting product quality. We propose a physics-guided, machine-learning approach to optimize scan paths for desired microstructure outcomes, such as equiaxed grains. We utilized a phase-field method (PFM) to model crystalline grain structure evolution. To reduce computati…

We are so fucking doomed. The people with the real money are fulfilling their own paranoid fantasies: they’ve become servants of AGI: Artificial Generalized Imbecility. And the people with the skills and credentials to call them on it just don’t. https://eigenmagic.net/@NewtonMark/114

Mark Newton (@NewtonMark@eigenmagic.net)
Attached: 1 image An advertising company uses a bullshit machine to pretend to be a climate engineer, hilarity ensues. “Meta’s AI climate tool raised false hope of CO2 removal, scientists say” https://www.ft.com/content/69220fea-9c9a-4f55-9118-65d2660c85d4 ping @davidgerard@circumstances.run Maybe for our next trick we can ask a car manufacturing company how to grow tulips. It’d make the same amount of sense as asking Meta how to remove atmospheric CO2.

Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
Jerome Pfeiffer, Jingxi Zhang, Benoit Combemale, Judith Michael, Bernhard Rumpe, Manuel Wimmer, Andreas Wortmann
https://arxiv.org/abs/2507.04871

Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
Digital twins are sophisticated software systems for the representation, monitoring, and control of cyber-physical systems, including automotive, avionics, smart manufacturing, and many more. Existing definitions and reference models of digital twins are overly abstract, impeding their comprehensive understanding and implementation guidance. Consequently, a significant gap emerges between abstract concepts and their industrial implementations. We analyze popular reference models for digital twi…

#UWM is facing calls to cut 5-10% of expenses immediately while both international enrollment and grant-funded research are plummeting. Tuition has been frozen and the state has been cutting back what they contribute to the UW system since the Walker years. There isn't any "low-hanging fruit" left. This is inevitable.
"Amid a domestic manufacturing renaissance, University of Wisconsin-Milwaukee leadership is pushing to eliminate its materials science department."
https://www.jsonline.com/story/money/business/2025/06/03/kathleen-gallagher-why-is-uwm-cutting-a-critical-engineering-program/83928492007/

A matheuristic for solving the single row facility layout problem
Thomas Pammer, Markus Sinnl
https://arxiv.org/abs/2506.09793 https://

A matheuristic for solving the single row facility layout problem
The single row facility layout problem (SRFLP) is a well-studied NP-hard combinatorial optimization problem with applications in manufacturing and logistics systems. In the SRFLP, a set of facilities with lengths is given, as well as weights between each pair of facilities. The facilities must be arranged on a line, such that the sum of the weighted center-to-center distances is minimized. In this work, we introduce a novel matheuristic approach that integrates exact optimization into a m…

⛪ Alternatives to Stained Glass with Open-Source Distributed Additive Manufacturing for Energy Efficiency and Economic Savings
#materials

The media focus on this one criticism is insane, just massive focus on ensuring everybody is quoted as being against Bob's chant.
The manufacturing of consent in plain view. No support of Bob allowed to be quoted, only condemnation. No focus at all on the horrors committed by the army itself, just condemnation and contrition from all corners.
And all so much louder than the coverage of death and hunger and destruction and genocide being committed by that army.
Our media environment is so focused and in lock-step, even though it's in theory free. Yet not a single newspaper saying, you know, the Vylan character has a point! Maybe we should disband a criminal army!
Got confused about the date in the show here, but the reading's about right. The bandwagon rolls on because it's a victory for everyone. The media gets to condemn someone, and they don't have to condemn Israel.
https://wordcloudtarot.com/readings/2025-07-01-gazaandglastonbury/

Nonlinear Causal Discovery for Grouped Data
Konstantin G\"obler, Tobias Windisch, Mathias Drton
https://arxiv.org/abs/2506.05120 https://

Nonlinear Causal Discovery for Grouped Data
Inferring cause-effect relationships from observational data has gained significant attention in recent years, but most methods are limited to scalar random variables. In many important domains, including neuroscience, psychology, social science, and industrial manufacturing, the causal units of interest are groups of variables rather than individual scalar measurements. Motivated by these applications, we extend nonlinear additive noise models to handle random vectors, establishing a two-step …

Control Architecture and Design for a Multi-robotic Visual Servoing System in Automated Manufacturing Environment
Rongfei Li
https://arxiv.org/abs/2506.11387

Control Architecture and Design for a Multi-robotic Visual Servoing System in Automated Manufacturing Environment
The use of robotic technology has drastically increased in manufacturing in the 21st century. But by utilizing their sensory cues, humans still outperform machines, especially in micro scale manufacturing, which requires high-precision robot manipulators. These sensory cues naturally compensate for high levels of uncertainties that exist in the manufacturing environment. Uncertainties in performing manufacturing tasks may come from measurement noise, model inaccuracy, joint compliance (e.g., el…

NATO Is one of the biggest armament pressure groups globally and in recent months, with Trump in power, it acts as high representative of the arms manufacturing interests, who see their enormous profits grow ".
"La OTAN es uno de los grupos de presión armamentísticos mšs grandes del mundo y en los últimos meses, con Trump en el poder, actúa como alto representante de los intereses de fabricantes de armas, que ven cómo crecen sus beneficios millonarios."

La OTAN, ese alto representante del lobby armamentístico
La guerra ilegal de Israel y EEUU contra Irán preparó el terreno para la Cumbre de la OTAN, en un momento en el que la Alianza actúa como uno de los mayores grupos de presión en favor de los intereses de fabricantes de armas

High Light-Efficiency Holographic Tomographic Volumetric Additive Manufacturing using a MEMS-based Phase-only Light Modulator
Maria Isabel \'Alvarez-Casta\~no, Ye Pu, Christophe Moser
https://arxiv.org/abs/2506.02578

High Light-Efficiency Holographic Tomographic Volumetric Additive Manufacturing using a MEMS-based Phase-only Light Modulator
Light-based 3D printing, which relies on photocurable resins, has shown the capability to produce complex geometries with high resolution and fidelity. Tomographic Volumetric Additive Manufacturing (TVAM) employs a digital micromirror device (DMD) to project high-speed sequences of amplitude light patterns into a rotating resin volume, enabling rapid fabrication of 3D structures through photopolymerization. Typically, the light projection efficiency in such binary amplitude modulator-based syst…

Remember when Jimmy "The Greek" Snyder made those arrogantly racist & fundamentally incorrect comments in the 80s?
He got FIRED from CBS for that.
Your move, #NewYorkTimes.
☑️ The New York Times Just Published Some Bizarre Race Science About Asian Women

The New York Times Just Published Some Bizarre Race Science About Asian Women
The New York Times published an article with a strange and bigoted claim about Asian women and manufacturing at Apple.

Loser: U.S. factories
When Democrats in 2022 created and expanded a slew of federal tax breaks for electric vehicles, solar panels, wind turbines, batteries,
they designed them to encourage companies to use components made in the United States.
That spurred a manufacturing boom, including solar-panel glass recyclers in Georgia and electric-vehicle assembly lines in Kentucky.
The new law could derail many of those factories.
The old tax credit for solar power, for…

How the G.O.P. Bill Will Reshape America’s Energy Landscape
Here’s a rundown on the winners and losers in the legislation muscled through Congress.

Spatial Process Mining
Shintaro Yoshizawa, Takayuki Kanai, Masahiro Kagi
https://arxiv.org/abs/2506.06081 https://arxiv.org/pdf/2506.…

Spatial Process Mining
We propose a new framework that focuses on on-site entities in the digital twin, a pairing of the real world and digital space. Characteristics include active sensing to generate event logs, spatial and temporal partitioning of complex processes, and visualization and analysis of processes that can be scaled in space and time. As a specific example, a cell production system is composed of connected manufacturing spaces called cells in a manufacturing process. A cell is sensed by ceiling cameras…

#physics #manufacturing

The US factory that lays bare the contradiction in Trump's policy
An exclusive look inside the closely guarded factory the president wants to become a foundation stone for a US golden age.

email_company: Manufacturing company email (2010)
A network of emails among employee email addresses at a mid-sized manufacturing company. Each directed edge represents an email sent from address i to address j. Edges are timestamped, and occurred over a 6 month period in an unspecified year.
This network has 167 nodes and 82927 edges.
Tags: Social, Communication, Unweighted, Multigraph, Timestamps

"Coldplay to re-issue albums on records made from recycled plastic bottles"
#Coldplay #Music #Vinyl

Coldplay to re-issue LPs on records made from recycled plastic bottles
Coldplay will re-issue nine of their previous albums on records made from recycled plastic bottles. The EcoRecords reduce carbon emissions during the manufacturing process by 85 per cent compared with traditional vinyl production.

This https://arxiv.org/abs/2410.23302 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0
The rise of Industry 5.0 has introduced new demands for manufacturing companies, requiring a shift in how production schedules are managed to address human centered, environmental, and economic goals comprehensively. The flexible job shop scheduling problem (FJSSP), which involves processing operations on various capable machines, accurately reflects the complexities of modern manufacturing settings. This paper investigates the FJSSP involving reconfigurable machine tools with configuration dep…

Piezoelectric truss metamaterials: data-driven design and additive manufacturing
Saurav Sharma, Satya K. Ammu, Prakash Thakolkaran, Jovana Jovanova, Kunal Masania, Siddhant Kumar
https://arxiv.org/abs/2506.22451

Piezoelectric truss metamaterials: data-driven design and additive manufacturing
In the development of active animate materials, electromechanical coupling is highly attractive to realize mechanoresponsive functionality. Piezoelectricity is the most utilized electromechanical phenomenon due to the wide availability of materials that display precise and reliable coupling. However, the inherent directionality of these materials is constrained by the symmetry of their crystal structure, which limits the choice of available properties in natural piezoelectric materials. A solut…

Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
Maurizio Clemente, Prapti Maharjan, Mauro Salazar, Theo Hofman
https://arxiv.org/abs/2506.05531

Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
This paper investigates the environmental impact of Li-Ion batteries by quantifying manufacturing-related emissions and analyzing how electricity mix and production scale affect emission intensity. To this end, we conduct a meta-analysis of life cycle assessments on lithium-ion batteries published over the past two decades, categorizing them by year, battery chemistry, functional unit, system boundaries, and electricity mix. We then carry out a cradle-to-gate assessment for a nickel manganese c…

Mechanical Degradation of Unentangled Polymer Melts under Uniaxial Extensional Flow
Mingchao Wang, Stephen Sanderson, Debra J. Searles
https://arxiv.org/abs/2506.03945

Mechanical Degradation of Unentangled Polymer Melts under Uniaxial Extensional Flow
Complex flow fields govern the deformation of polymers in various manufacturing processes. However, high flow rates may trigger reaction events (i.e., bond breaking or undesirable reaction of mechanophores) in raw polymeric materials, leading to the mechanical or functional debasement of manufactured structures. Additionally, it is difficult to fully characterize such molecular-level flow in the laboratory due to time- and length-scale limits. In this study, we perform non-equilibrium molecular…

Trump's 'Beautiful Bill' Actually Pushes Manufacturing Abroad (Brad Setser/New York Times)
https://www.nytimes.com/2025/06/20/opinion/budget-policy-bill-trump-manufacturing.html
http://www.memeorandum.com/250620/p127#a250620p127

This https://arxiv.org/abs/2505.07752 has been replaced.
initial toot: https://mastoxiv.page/@a…

Mapping of Microstructure Transitions during Rapid Alloy Solidification Using Bayesian-Guided Phase-Field Simulations
This study addresses microstructure selection mechanisms in rapid solidification, specifically targeting the transition from cellular/dendritic to planar interface morphologies under conditions relevant to additive manufacturing. We use a phase-field model that quantitatively captures solute trapping, kinetic undercooling, and morphological instabilities across a broad range of growth velocities ($V$) and thermal gradients ($G$), and apply it to a binary Fe-Cr alloy, as a surrogate for 316L sta…

This https://arxiv.org/abs/2504.00605 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCE_…

A batch production scheduling problem in a reconfigurable hybrid manufacturing-remanufacturing system
In recent years, remanufacturing of End-of-Life (EOL) products has been adopted by manufacturing sectors as a competent practice to enhance their sustainability and market share. Due to the mass customization of products and high volatility of market, processing of new products and remanufacturing of EOLs in the same shared facility, namely Hybrid Manufacturing-Remanufacturing System (HMRS), is a mean to keep such production efficient. Accordingly, customized production capabilities are require…

This https://arxiv.org/abs/2505.09494 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Ultraviolet interband plasmonics down to the vacuum UV with ultrathin amorphous silicon nanostructures
Silicon dominates electronics, optoelectronics, photovoltaics and photonics thanks to its suitable properties, abundance, and well-developed cost-effective manufacturing processes. Recently, crystalline silicon has been demonstrated to be an appealing alternative plasmonic material, both for the infrared where free-carrier plasmons are enabled by heavy doping, and for the ultraviolet where plasmonic effects are induced by interband transitions. Herein, we demonstrate that nanostructured amorpho…

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
Alex Costanzino, Pierluigi Zama Ramirez, Luigi Lella, Matteo Ragaglia, Alessandro Oliva, Giuseppe Lisanti, Luigi Di Stefano
https://arxiv.org/abs/2506.21549

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
We propose SiM3D, the first benchmark considering the integration of multiview and multimodal information for comprehensive 3D anomaly detection and segmentation (ADS), where the task is to produce a voxel-based Anomaly Volume. Moreover, SiM3D focuses on a scenario of high interest in manufacturing: single-instance anomaly detection, where only one object, either real or synthetic, is available for training. In this respect, SiM3D stands out as the first ADS benchmark that addresses the challen…

A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems
Jonghan Lim, Ilya Kovalenko
https://arxiv.org/abs/2505.22814

A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems
Manufacturing environments are becoming more complex and unpredictable due to factors such as demand variations and shorter product lifespans. This complexity requires real-time decision-making and adaptation to disruptions. Traditional control approaches highlight the need for advanced control strategies capable of overcoming unforeseen challenges, as they demonstrate limitations in responsiveness within dynamic industrial settings. Multi-agent systems address these challenges through decentra…

Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
Alper Saricioglu, Mujde Erol Genevois, Michele Cedolin
https://arxiv.org/abs/2506.06368 ht…

Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
The Bullwhip Effect, describing the amplification of demand variability up the supply chain, poses significant challenges in Supply Chain Management. This study examines how the COVID-19 pandemic intensified the Bullwhip Effect across U.S. industries, using extensive industry-level data. By focusing on the manufacturing, retailer, and wholesaler sectors, the research explores how external shocks exacerbate this phenomenon. Employing both traditional and advanced empirical techniques, the analys…

Sources: Intel is considering ending marketing of its 18A process to new clients and writing off investments, focusing instead on 14A to compete with TSMC (Reuters)
https://www.reuters.com/business/retail-co

Trump isn't removing "illegal immigrants."
He's manufacturing them.
https://www.nbcnews.com/politics/supreme-court/supreme-court-allows-trump-revoke-legal-status-500000-immigrants-r…

Trump’s tax policy encourages the very offshoring that his tariffs are intended to stop.
Take the more than $600 billion pharmaceutical industry.
Over the past few months, Trump and his associates have repeatedly criticized companies’ moves to offshore much drug making,
particularly to Ireland.
“We can’t be beholden and rely upon foreign countries for fundamental things that we need,” Commerce Secretary Howard Lutnick said on April 13.
But the tax incentives i…

Opinion | Trump’s ‘Beautiful Bill’ Actually Pushes Manufacturing Abroad
A loophole in Trump’s policy bill would continue to encourage offshoring.

MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
Liman Wang, Hanyang Zhong, Tianyuan Wang, Shan Luo, Jihong Zhu
https://arxiv.org/abs/2507.04351

MLLM-Fabric: Multimodal Large Language Model-Driven Robotic Framework for Fabric Sorting and Selection
Choosing the right fabric is crucial to meet functional and quality requirements in robotic applications for textile manufacturing, apparel production, and smart retail. We present MLLM-Fabric, a robotic framework powered by multimodal large language models (MLLMs) for fabric sorting and selection. The system includes a robotic arm, a camera, a visuotactile sensor, and a pressure sensor. It employs supervised fine-tuning and multimodal explanation-guided knowledge distillation to accurately cla…

This https://arxiv.org/abs/2410.21844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Optimizing Perishable and Non-Perishable Product Assignment to Packaging Lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm
Identifying appropriate manufacturing systems for products can be considered a pivotal manufacturing task contributing to the optimization of operational and planning activities. It has gained importance in the food industry due to the distinct constraints and considerations posed by perishable and non-perishable items in this problem. Hence, this study proposes a new mathematical model according to knowledge discovery as well as an assignment model to optimize manufacturing systems for perisha…

This https://arxiv.org/abs/2505.24584 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams
Recent advancements in generative AI have accelerated the discovery of novel chemicals and materials; however, transitioning these discoveries to industrial-scale production remains a critical bottleneck, as it requires the development of entirely new chemical manufacturing processes. Current AI methods cannot auto-generate PFDs or PIDs, despite their critical role in scaling chemical processes, while adhering to engineering constraints. We present a closed loop, physics aware framework for the…

Arbiter PUF: Uniqueness and Reliability Analysis Using Hybrid CMOS-Stanford Memristor Model
Tanvir Rahman, A. B. M. Harun-ur Rashid
https://arxiv.org/abs/2507.04461

Arbiter PUF: Uniqueness and Reliability Analysis Using Hybrid CMOS-Stanford Memristor Model
In an increasingly interconnected world, protecting electronic devices has grown more crucial because of the dangers of data extraction, reverse engineering, and hardware tampering. Producing chips in a third-party manufacturing company can let hackers change the design. As the Internet of Things (IoT) proliferates, physical attacks happen more, and conventional cryptography techniques do not function well. In this paper, we investigate the design and assessment of PUFs using the Stanford Memri…

SMELLNET: A Large-scale Dataset for Real-world Smell Recognition
Dewei Feng, Carol Li, Wei Dai, Paul Pu Liang
https://arxiv.org/abs/2506.00239 https://

SMELLNET: A Large-scale Dataset for Real-world Smell Recognition
The ability of AI to sense and identify various substances based on their smell alone can have profound impacts on allergen detection (e.g., smelling gluten or peanuts in a cake), monitoring the manufacturing process, and sensing hormones that indicate emotional states, stress levels, and diseases. Despite these broad impacts, there are virtually no large scale benchmarks, and therefore little progress, for training and evaluating AI systems' ability to smell in the real world. In this paper, w…

Monolithic interferometric modules for multi-axis coordinate positioning with sub-nanometre precision
Simon Rerucha, Ondrej Cip, Miroslava Hola, Josef Lazar, Bretislav Mikel
https://arxiv.org/abs/2507.07642

Monolithic interferometric modules for multi-axis coordinate positioning with sub-nanometre precision
We report on developing, characterizing, and verifying a compact, monolithic laser interferometric assembly designed for high-precision two- and three-axis displacement measurements in coordinate positioning systems. The design targets OEM integration into advanced precision motion platforms, including nanometrology instruments, semiconductor manufacturing equipment, and ultra-high vacuum (UHV) environments. Using a single laser source, the assembly integrates multiple interferometers into a mo…

From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
Peter Pfeiffer, Alexander Rombach, Maxim Majlatow, Nijat Mehdiyev
https://arxiv.org/abs/2506.03801

From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
Traditional Business Process Management (BPM) struggles with rigidity, opacity, and scalability in dynamic environments while emerging Large Language Models (LLMs) present transformative opportunities alongside risks. This paper explores four real-world use cases that demonstrate how LLMs, augmented with trustworthy process intelligence, redefine process modeling, prediction, and automation. Grounded in early-stage research projects with industrial partners, the work spans manufacturing, modeli…

This https://arxiv.org/abs/2410.21844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Optimizing Perishable and Non-Perishable Product Assignment to Packaging Lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm
Identifying appropriate manufacturing systems for products can be considered a pivotal manufacturing task contributing to the optimization of operational and planning activities. It has gained importance in the food industry due to the distinct constraints and considerations posed by perishable and non-perishable items in this problem. Hence, this study proposes a new mathematical model according to knowledge discovery as well as an assignment model to optimize manufacturing systems for perisha…

This https://arxiv.org/abs/2410.23302 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0
The rise of Industry 5.0 has introduced new demands for manufacturing companies, requiring a shift in how production schedules are managed to address human centered, environmental, and economic goals comprehensively. The flexible job shop scheduling problem (FJSSP), which involves processing operations on various capable machines, accurately reflects the complexities of modern manufacturing settings. This paper investigates the FJSSP involving reconfigurable machine tools with configuration dep…

U.S. Textile Makers, Feeling Forgotten by Trump, Hope Boom Days Are Ahead (New York Times)
https://www.nytimes.com/2025/06/25/business/textile-manufacturing-trump-tariffs.html
http://www.memeorandum.com/250625/p10#a250625p10

President Trump has pledged to bring more factory work back to the U.S., but many manufacturing jobs are already going unfilled
https://www.wsj.com/economy/jobs/will-anyone-take-the-factory-jobs-trump-wants…

Sources: TSMC is evaluating building a "gigafab" in the UAE and has discussed the possibility with MGX and officials in the Trump administration (Bloomberg)
https://www.bloomberg.com/news/articles/2025-0…

TSMC Is Said to Evaluate Building Advanced Chip Plant in the UAE
Taiwan Semiconductor Manufacturing Co. is evaluating building an advanced production facility in the United Arab Emirates and has discussed the possibility with officials in President Donald Trump’s administration, according to people familiar with the matter, a potentially major bet on the Middle East that would only come to fruition with Washington’s approval.

Dynamic Collaborative Material Distribution System for Intelligent Robots In Smart Manufacturing
Ziren Xiao, Ruxin Xiao, Chang Liu, Xinheng Wang
https://arxiv.org/abs/2506.11723

Dynamic Collaborative Material Distribution System for Intelligent Robots In Smart Manufacturing
The collaboration and interaction of multiple robots have become integral aspects of smart manufacturing. Effective planning and management play a crucial role in achieving energy savings and minimising overall costs. This paper addresses the real-time Dynamic Multiple Sources to Single Destination (DMS-SD) navigation problem, particularly with a material distribution case for multiple intelligent robots in smart manufacturing. Enumerated solutions, such as in \cite{xiao2022efficient}, tackle t…

Fluid dynamics of a liquid mirror space telescope
Israel Gabay, Omer Luria, Edward Balaban, Amir D. Gat, Moran Bercovici
https://arxiv.org/abs/2507.02812 h…

Fluid dynamics of a liquid mirror space telescope
Large aperture telescopes are pivotal for exploring the universe, yet even with state-of-the-art manufacturing and launch technology, their size is limited to several meters. As we aim to build larger telescopes - extending tens of meters - designs in which the main mirror is based on liquid deployment in space are emerging as promising candidates. However, alongside their enormous potential advantages, liquid-based surfaces present new challenges in material science, mechanics, and fluid dynam…

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
Saad Alqithami
https://arxiv.org/abs/2506.22445

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
Cyber-Physical Systems play a critical role in the infrastructure of various sectors, including manufacturing, energy distribution, and autonomous transportation systems. However, their increasing connectivity renders them highly vulnerable to sophisticated cyber threats, such as adaptive and zero-day attacks, against which traditional security methods like rule-based intrusion detection and single-agent reinforcement learning prove insufficient. To overcome these challenges, this paper introdu…

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Ossi Parikka, Roel Pieters
https://arxiv.org/abs/2506.22028

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Modern industry is increasingly moving away from mass manufacturing, towards more specialized and personalized products. As manufacturing tasks become more complex, full automation is not always an option, human involvement may be required. This has increased the need for advanced human robot collaboration (HRC), and with it, improved methods for interaction, such as voice control. Recent advances in natural language processing, driven by artificial intelligence (AI), have the potential to answ…

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation
Huikang Liu, Yicheng Huang, Hongpei Li, Dongdong Ge, Yinyu Ye
https://arxiv.org/abs/2506.06258

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation
Large-scale competitive market equilibrium problems arise in a wide range of important applications, including economic decision-making and intelligent manufacturing. Traditional solution methods, such as interior-point algorithms and certain projection-based approaches, often fail to scale effectively to large problem instances. In this paper, we propose an efficient computational framework that integrates the primal-dual hybrid conjugate gradient (PDHCG) algorithm with GPU-based parallel comp…

Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
Luis Miguel Vieira da Silva, Aljosha K\"ocher, Felix Gehlhoff
https://arxiv.org/abs/2506.11180

Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
Explicit modeling of capabilities and skills -- whether based on ontologies, Asset Administration Shells, or other technologies -- requires considerable manual effort and often results in representations that are not easily accessible to Large Language Models (LLMs). In this work-in-progress paper, we present an alternative approach based on the recently introduced Model Context Protocol (MCP). MCP allows systems to expose functionality through a standardized interface that is directly consumab…

Low-loss terahertz negative curvature suspended-core fiber
Jing Deng, Lei Fan, Qichao Hou, Xingfang luo, Chun-Fang Rao, Yuan-Feng Zhu
https://arxiv.org/abs/2507.05709

Low-loss terahertz negative curvature suspended-core fiber
Inspired by the design concept of negative curvature hollow-core fibers, this paper presents an innovative negative curvature suspended-core THz fiber. Compared to traditional suspended-core fibers, all structural units of this fiber are designed with circular boundaries, effectively avoiding the issues of insufficient mechanical strength and manufacturing difficulties associated with the wide and ultra-thin rectangular support arms in traditional structures. The numerical simulation using the …

Robust Input Shaping Control for Flexible Structures Based on Unscented Kalman Filter
Weiyi Yang, Yu Yuan, Mingsheng Shang
https://arxiv.org/abs/2507.01460

Robust Input Shaping Control for Flexible Structures Based on Unscented Kalman Filter
With the rapid development of industrial automation and smart manufacturing, the control of flexible structures and underactuated systems has become a critical research focus. Residual vibrations in these systems not only degrade operational efficiency but also pose risks to structural integrity and longevity. Traditional input shaping techniques, while effective, often suffer from performance degradation due to parameter inaccuracies and environmental disturbances. To address these challenges,…

Manufacturing Revolutions: Industrial Policy and Industrialization in South Korea
Nathan Lane
https://arxiv.org/abs/2505.20566 https://

Manufacturing Revolutions: Industrial Policy and Industrialization in South Korea
I study the impact of industrial policies on industrial development by considering an important episode during the East Asian miracle: South Korea's heavy and chemical industry (HCI) drive, 1973--1979. Based on newly assembled data, I use the introduction and termination of industrial policies to study their impacts during and after the intervention period. (1) I reveal that heavy-chemical industrial policies promoted the expansion and dynamic comparative advantage of directly targeted industri…

The Florida field tomato — which the Trump administration wants us to eat more of by imposing a 21 percent tariff on most Mexican tomatoes starting July 14.
The tariff represents a double insult to consumers,
assaulting both our taste buds and our pocketbooks.
Trump has told us to make do with fewer (and more expensive) imported pencils and dolls for the greater good of bringing manufacturing back to America.
Fine. But tomatoes?
The last thing American consumers …

Opinion | How Has a Food This Bad Survived the American Market for So Long?
The last thing American consumers need is a revitalization of Florida’s withering tomato industry.

Purism's $1,999 security-focused Liberty Phone, assembled in the US with decade-old specs and some US-made parts, exposes the gaps in US phone manufacturing (Ben Raab/Wall Street Journal)
https://www.wsj.com/tech/personal-t…

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
Twisha Chattopadhyay, Fabricio Ceschin, Marco E. Garza, Dymytriy Zyunkin, Animesh Chhotaray, Aaron P. Stebner, Saman Zonouz, Raheem Beyah
https://arxiv.org/abs/2506.21897

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
The 3D printing industry is rapidly growing and increasingly adopted across various sectors including manufacturing, healthcare, and defense. However, the operational setup often involves hazardous environments, necessitating remote monitoring through cameras and other sensors, which opens the door to cyber-based attacks. In this paper, we show that an adversary with access to video recordings of the 3D printing process can reverse engineer the underlying 3D print instructions. Our model tracks…

Sources: Masayoshi Son is pitching a Shenzhen-like $1T AI and robotics manufacturing hub in Arizona, codenamed Project Crystal Land, in partnership with TSMC (Bloomberg)
https://www.bloomberg.com/news/articles/202…

Memo: Intel's manufacturing VP said Intel plans to cut 15%-20% of staff, starting in July, "to meet our affordability challenges and current financial position" (Mike Rogoway/Oregonian)
https://www.oregonlive.com/silicon-forest/…

Intel will lay off 15% to 20% of its factory workers, memo says
Next month’s layoffs will take place at Intel factories around the world but could have an especially big effect in Oregon.

Bitmain, Canaan and MicroBT, which build 90% of crypto mining rigs, are setting up US manufacturing footholds as Trump's tariff war reshapes the supply chain (Reuters)
https://www.reuters.com/world/china/domina