The Industrial Science Report: Microscopic breakthroughs redefining electronics and engineered materials
Key Highlights
- Advanced digital simulations and new materials are improving component reliability at GM.
- Research into bio-inspired adaptive building materials aims to create structures that respond autonomously to environmental conditions, reducing energy consumption.
- Scalable nanoimprint lithography techniques are enabling mass production of ultra-thin optical metasurfaces for applications in AR/VR, holography, and biosensing.
- Partnerships like IBM and the University of Dayton are establishing new semiconductor fabrication labs to accelerate AI hardware development and build a skilled workforce.
- Robotic chip-scale nanofabrication systems are enhancing the precision and consistency of semiconductor manufacturing, reducing defects and increasing yields.
What happens when batteries charge in minutes, buildings act like pinecones, and robots start making the chips that power more robots? We live in a new wave of materials science and electronics research that’s pushing industrial technology into once-sci-fi territory. From nano-thin optical devices to bio-inspired materials and ultra-precise semiconductor fabrication, these scientific breakthroughs are reshaping the components at the heart of modern plants.
The future of maintenance and reliability won’t just depend on better parts. It will hinge on a new generation of engineered materials that are faster, lighter, tougher, and smarter than anything on today’s shop floor. These trends stand to influence preventive maintenance strategies, spare-part planning, equipment lifetimes, and the adoption of emerging technologies across automotive, energy, aerospace, and other heavy industrial sectors.
GM wins four awards with its R&D technologies
General Motors is winning awards for its work in improving component reliability with material design. Its new technologies show how advanced digital simulations and improved battery and engine designs could reduce defects, improve uptime and support higher reliability in next-generation manufacturing environments.
GM’s research and development (R&D) group, based at the Kettering Research & Development Center in Warren, Michigan, won four R&D 100 Awards for:
- a “DR-Weld” digital-reality simulation tool that accelerates welding and additive-manufacturing simulations from months to days;
- an ultra-fast charging battery cell architecture;
- a lighter, more efficient V8 medium-duty truck engine;
- a silicon-based all-solid-state battery with promising cycle life and safety metrics.
GM emphasized this success as validation of its eight strategic research programs, spanning robotics, future factory automation, advanced batteries, computational acceleration, vehicle efficiency, connected immersive experience for drivers, product safety and integration, and federal systems research, which aim to improve manufacturing quality, flexibility, and electric vehicle (EV) and internal combustion engine power-train efficiency.
University of Freiburg launches two new doctoral training programs in particle physics and bio-inspired materials
Did you know that a pinecone adapts to the weather by opening or closing its scales depending on humidity, making them resource- and energy-efficient? Scientists are trying to mimic this natural phenomenon for infrastructure.
We’ve made nearly all our appliances “smart,” and connected them together into smart home networks and applications, but what if building material itself could adapt and respond to weather and light conditions? They are initially focused on flexible shading systems, but the applications for structures that react autonomously to environmental conditions could be endless.
The University of Freiburg announced that the German Research Foundation (DFG) has approved two new research training groups (RTGs):
- New SM: Looking for Signposts towards the New Standard Model of Particle Physics — focusing on theory and experiments to search for new particles or structures beyond the current Standard Model.
- BioBuild: Bio-inspired Materials and Systems for Responsive Building Components — targeting materials science and engineering for dynamic, environment-responsive building envelopes (e.g., shading, adaptive facades) inspired by natural systems.
The RTGs will begin in spring 2026, funded for an initial five-year phase, to nurture doctoral-level researchers in cutting-edge physics and materials science.
POSTECH develops scalable nanoimprint lithography for mass manufacture of metasurfaces
We’ve long been undergoing a miniaturization revolution, from personal devices to the components that run the machines building those devices and everything in between. Smaller and faster is the name of the game, but scientists are now working in scales so small, it’s other worldly.
Man-made metasurfaces, how small are they, you ask? They are so ultra-thin, they are significantly smaller than the wavelengths of the electromagnetic waves they are designed to interact with, which allows them to manipulate light. This tech shows big promise for unlocking high volume production of ultra-thin optical devices for AR/VR glasses, holography, LiDAR, biosensing, and machine vision equipment.
A research team at Pohang University of Science and Technology (POSTECH) in South Korea, proposed two manufacturing strategies in a review published in Optics and Photonics Research, to enable mass scalable fabrication of optical metasurfaces, or ultra-compact optical devices capable of precisely manipulating light.
The strategies use nanoimprint lithography (NIL), combining either a high-refractive-index thin-film coating over resin patterns, or embedding high-index nanoparticles directly into the resin. This yields optical efficiencies comparable to electron-beam lithography, but with far higher throughput and drastically lower cost, potentially moving metasurface manufacturing much closer to industrial-scale production.
IBM and University of Dayton team up to build next-gen semiconductor lab for AI hardware
The more automation we adopt, the more we ultimately depend on those tiny semiconductor chips for more and more and more. IBM recognizes the importance of strengthening domestic chip R&D and building the skilled workforce to go with it. Without it, the supply chains for these critical electronics and automation systems will face shortages.
IBM and the University of Dayton are collaborating to establish a new semiconductor nanofabrication facility on UD’s campus, targeted for completion in early 2027. The partnership will accelerate research into next-generation semiconductor technologies, including artificial intelligence hardware, advanced packaging, and photonics. It will serve as a lab-to-fab training hub, offering hands-on experience to students and researchers working side-by-side with industry experts.
With IBM contributing more than $10 million in semiconductor equipment, the facility is expected to strengthen domestic chip R&D capacity and help build a skilled workforce aligned with future semiconductor manufacturing demands.
Stanford researchers develop robotic chip-scale nanofabrication to improve consistency in semiconductor production
As more industries rely on complex automation, sensing, and control electronics, the consistency and reliability of semiconductor components have become critical to overall manufacturing performance. Even small variations in chip fabrication can lead to downstream failures in robots, PLCs, drives, sensors, and other plant-floor systems. New research on robotic chip-scale nanofabrication shows how automation at the nanoscale can dramatically reduce variation in semiconductor production. For manufacturers, this work highlights a future where the electronic components that power industrial equipment are produced with greater precision, higher yields, and fewer defects.
Researchers at Stanford University have developed a robotic nanofabrication system designed to improve precision and consistency in creating nanoscale structures for advanced semiconductor devices. The approach integrates automated robotics with high-resolution lithography and patterning steps. Researchers say the system can maintain tighter tolerances and reduce variability compared to traditional manual or partially automated processes. The team reports that the robotic platform achieves more uniform feature dimensions, improved defect control, and greater repeatability across wafers. By tightly coordinating motion control, environmental stability, and nanoscale fabrication tools, the system demonstrates a pathway toward more scalable, high-throughput production of next-generation microelectronic components.
About the Author

Anna Townshend
managing editor
Anna Townshend has been a journalist and editor for almost 20 years. She joined Control Design and Plant Services as managing editor in June 2020. Previously, for more than 10 years, she was the editor of Marina Dock Age and International Dredging Review. In addition to writing and editing thousands of articles in her career, she has been an active speaker on industry panels and presentations, as well as host for the Tool Belt and Control Intelligence podcasts. Email her at [email protected].
