Empa innovation in bridge construction

Award-winning railway bridge with Swiss carbon cables

Sep 16, 2025 | MANUEL MARTIN

The multi-award-winning Oder Bridge near Küstrin is supported by a network arch with prestressed carbon cables. These ultra-lightweight yet extremely durable tension members made of carbon fiber reinforced polymers (CFRP) were largely developed, tested, and evaluated at Empa.

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The new cross-border bridge at Küstrin consists of a network arch with a span of 130 meters and 88 carbon hangers. Image: Deutsche Bahn AG / Volker Emersleben

A gleaming white network arch with a span of 130 meters supports the new border bridge near Küstrin. 88 carbon hangers stabilize the filigree construction over the Oder River. These tension members made of carbon fiber reinforced polymers (CFRP) were used for the first time worldwide in a railway bridge – developed by Empa spin-off Carbo-Link and tested and evaluated at Empa. The innovative material not only enables a particularly material-efficient construction method, but also significantly reduces CO₂ emissions compared to a conventional steel structure. The bridge has received two awards for this groundbreaking design – the British Bridges International Award and the German Bridge Construction Prize.

Lightweight carbon instead of heavy steel
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Trains can cross the Oder Bridge at speeds of up to 120 km/h making use of carbon hangers for the first time worldwide. Image: Deutsche Bahn AG / Oliver Lang

According to the jury of the German Bridge Construction Prize, the Küstrin Oder Bridge is not only considered an engineering masterpiece but is also pioneering in terms of economy and sustainability. The 88 carbon hangers significantly reduce the weight compared to conventional flat steel hangers. This is because CFRP offers higher tensile strength and better fatigue resistance than steel – while also being significantly lighter. This opens up new design freedoms, as the airy, transparent appearance of the Oder Bridge impressively demonstrates. In addition, the material savings reduce construction costs and maintenance requirements in the long term.

Overall, the use of CFRP hangers saved around 500 tons of steel and 1,350 tons of reinforced concrete in the bridge's overall structure. A sustainability study by Urs Meier, CFRP pioneer and former member of Empa's Directorate, shows that the carbon version saves around 20 percent of CO₂ emissions compared to a steel structure.

High technical requirements for railway bridges
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Hangers made of carbon fiber reinforced polymer tested at Empa provide strength and sustainability. Image: Empa

The railway bridge over the Oder is a double-track network arch bridge in composite construction, equipped with prestressed CFRP hangers. Although such carbon cables have already been used on another bridge, this is the first time they have been used worldwide for heavy rail freight traffic. Trains can now pass over the structure at speeds of up to 120 kilometers per hour – which required extensive testing and complex approval procedures.

According to Lorenz Haspel, the project manager responsible at the engineering firm schlaich bergermann partner, this carbon bridge would not have been possible without Empa. The innovative CFRP hangers come from the Empa spin-off Carbo-Link in Fehraltorf – founded by Andreas Winistörfer, CEO and former Empa doctoral student – and have now been used for the second time in a network arch bridge. “We used such carbon cables for the first time as highly stressed tension members in a network arch on the city railway bridge in Stuttgart,” says Haspel.

The fatigue tests for the Oder bridge were largely carried out by a team from Empa's Structural Engineering lab led by Robert Widmann and Dimitri Ott in Empa's construction hall – confirming the necessary fatigue strength of the innovative CFRP material. Giovanni Terrasi, head of Empa's Mechanical Systems Engineering lab, also worked with Christian Affolter to prepare the technical report for the now award-winning bridge. “We have thus laid the foundation for a new generation of filigree network arch bridges with carbon hangers as load-bearing elements,” Terrasi is convinced.


Fighting antibiotic resistance

Shining a light on germs

Feb 12, 2025 | ANDREA SIX

Light on – bacteria dead. Disinfecting surfaces could be as simple as that. To turn this idea into a weapon against antibiotic-resistant germs, Empa researchers are developing a coating whose germicidal effect can be activated by infrared light. The plastic coating is also skin-friendly and environmentally friendly. A first application is currently being implemented for dentistry.

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Microbe hunters: Empa researchers Paula Bürgisser and Giacomo Reina from the Nanomaterials in Health laboratory in St. Gallen. Image: Empa
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Antibiotic-resistant bacteria and emerging viruses are a rapidly increasing threat to the global healthcare system. Around 5 million deaths each year are linked to antibiotic-resistant germs, and more than 20 million people died during the COVID-19 virus pandemic. Empa researchers are therefore working on new, urgently needed strategies to combat such pathogens. One of the goals is to prevent the spread of resistant pathogens and novel viruses with smart materials and technologies.

Surfaces that come into constant contact with infectious agents, such as door handles in hospitals or equipment and infrastructure in operating theaters, are a particularly suitable area of application for such materials. An interdisciplinary team from three Empa laboratories, together with the Czech Palacký University in Olomouc, has now developed an environmentally friendly and biocompatible metal-free surface coating that reliably kills germs. The highlight: The effect can be reactivated again and again by exposing it to light.

Biocompatible and effective
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Biocompatible: Stable and safely embedded in a compatible polymer, graphenic acid is deadly for germs. Image: Empa

“The new material is designed to kill microorganisms locally and quickly,” explains Giacomo Reina from Empa's Nanomaterials in Health Laboratory in St. Gallen. A basic matrix of polyvinyl alcohol, a biocompatible plastic that is also used in the food industry, was used for this purpose. Embedded in this matrix is specially synthesized graphenic acid, which is ideally suited as an antimicrobial coating due to its chemical properties. Its full potential can be exploited by using near-infrared light. As soon as the composite material is irradiated, it unfolds its dual strategy: Firstly, it absorbs the energy of the infrared light and converts it into germicidal heat. It also stimulates the formation of oxygen radicals, which cause additional damage to the pathogens.

Another advantage here is that this strategy is completely different from the mode of action of conventional antibiotics. The material thus offers continuous protection against a broad spectrum of microorganisms without contributing to the development of resistance. “Our laboratory experiments have clearly confirmed the effectiveness of the antimicrobial material against various bacteria and viruses,” says the Empa researcher.

Application for dentistry
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Antibiotic resistance: One of the most dreaded germs in the oral cavity is the bacterium Pophyromonas gingivalis, a pathogen that causes severe periodontitis with increasing antibiotic resistance. Image: Adobe Stock.

An initial application for the antimicrobial coating is currently being developed for dentistry. To this end, Empa researchers are working together with the Center for Dental Medicine at the University of Zurich on a dental splint that kills microorganisms in the oral cavity.

The microbial flora in the mouth is a particularly unpleasant opponent in the fight against infectious agents: Complex communities of bacteria cavort in inaccessible niches, embedded in a self-produced mucous matrix. Antibiotics and disinfectants barely penetrate these resistant biofilms. This allows the germs to ruin teeth unhindered or even lead to extensive infections in the body. The interdisciplinary team led by Giacomo Reina is therefore working on a plastic splint into which nanomaterials such as graphenic acid can be stably integrated. As near-infrared light can penetrate the tissue several centimeters deep, the splint can be placed in the oral cavity and activated from the outside by a light source, over and over again.

The project can be started thanks to generous donations from the Eduard Aeberhardt Foundation and another foundation. Clinic Director Ronald Jung from the Center for Dental Medicine at the University of Zurich appreciates this interdisciplinary approach to materials science and clinical research. “Such new and innovative solutions will offer great added value for patients,” says Jung.

Zukunftsfonds

Empa's Zukunftsfonds is looking for private donations for outstanding research projects and talents that are not (yet) supported elsewhere. If you would also like to make a contribution to the project, you can find our donation form here.





Literature

G Reina, D Panáček, K Rathammer, S Altenried, P Meier, P Navascués, Z Baďura, P Bürgisser, V Kissling, Q Ren, R Zbořil, P Wick; Light Irradiation of N-Doped Graphene Acid: Metal-Free Strategy Toward Antibacterial and Antiviral Coatings with Dual Modes of Action; EcoMat (2025); https://doi.org/10.1002/eom2.70009


Links

The silent pandemic: Antiobiotic resistant

Pocket Facts 01
Dangerous increase: Antimicrobial Resistance (AMR)

Download Pocket Facts here.


Empa Quarterly #88
Surfaces and Interfaces

Totally superficial? You bet! What might be a bit of a character flaw in a person is actually a good thing in materials science. Because, chemically speaking, it's what happens on the surface that counts. A sound understanding of surfaces and interfaces enables everything from better electronics to more robust bridges. Whether it's biological compatibility in implants, antibacterial coatings in hospitals, or catalytic processes in the production of synthetic fuels – surfaces are crucial to all of these.

Read the EmpaQuarterly online or download the PDF version.


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Omya new NEST partner of Empa

Innovative building materials for NEST's Beyond.Zero unit

Sep 10, 2025 | ANNINA SCHNEIDER

Omya and NEST, the research and innovation platform of Empa and Eawag, have entered into a new partnership in August 2025. Together with additional partners, they will begin planning and constructing the new NEST unit Beyond.Zero. The goal is to develop and test CO₂-reduced and CO₂-negative materials and technologies across the entire life cycle of buildings.

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New partnership between NEST and Omya: Back, from left to right: Reto Largo, Managing Director of NEST at Empa; Prof. Matthias Sulzer, Head of the Department of Engineering Sciences, Empa; Dr. Mateusz Wyrzykowski, Group Leader "Concrete Technology," Empa; Dr. Philipp Hunziker, Vice President, Research & Development, Omya; Prof. Dr. Tanja Zimmermann, Director of Empa; Dr. Philipp Müller, Vice President, Construction, Omya; Enrico Marchesi, Innovation Manager, NEST; Claudio Lotti, Head of Construction Sales Switzerland, Omya. Front, from left to right: Dr. Michel Schenker and Dr. Fabrizio Orlando, Senior Scientists, Omya. Photo: Empa

At the core of this new partnership is the further development of a cement-reduced concrete that Empa and Omya developed in a joint research project. This innovative building material replaces up to 70 percent of the clinker content with natural minerals, significantly reducing the CO₂ footprint. "For a novel type of concrete to achieve broad acceptance, it must be tested in practice. With its use in the NEST unit Beyond.Zero, we can comprehensively validate our cement-reduced concrete — from processing to durability," explains Mateusz Wyrzykowski, Empa researcher. The goal is a building material that not only meets ecological requirements but also delivers in terms of workability, mechanical performance, dimensional stability, and durability.

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The new cement-reduced concrete significantly lowers emissions in building material production – while maintaining consistent mechanical performance. Photo: Empa

"Omya is a globally leading Swiss producer of industrial minerals and supplies a wide range of industries — from construction to pharmaceuticals. Collaborating to develop sustainable building materials and testing them directly under real-life conditions at NEST accelerates the transfer of innovation into climate-friendly construction," emphasizes Empa Director Tanja Zimmermann.
Further information about the new NEST unit: Beyond.Zero 


A laser that can “see” and “think”

Machine learning simplifies industrial laser processes

May 27, 2025 | ANNA ETTLIN

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and resource-consuming preparations. Researchers at Empa in Thun are using machine learning to make laser processes more precise, more cost-effective and more efficient.

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When the laser learns: Laser-based welding processes can be optimized in real time thanks to machine learning. Image: Empa

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to precision-weld components together or produce more complex parts using 3D printing – quickly, precisely and automatically. This is why laser processes are used in numerous sectors, such as the automotive and aviation industries, where maximum precision is required, or in medical technology, for example for the production of customized titanium implants.

However, despite their efficiency, laser processes are technically challenging. The complex interactions between the laser and the material make the process sensitive to the smallest of deviations – whether in the material properties or in the settings of the laser parameters. Even minor fluctuations can lead to errors in production.

“To ensure that laser-based processes can be used flexibly and achieve consistent results, we are working on better understanding, monitoring and control of these processes,” says Elia Iseli, research group leader in Empa's Advanced Materials Processing laboratory in Thun. In line with these principles, Giulio Masinelli and Chang Rajani, two researchers from his team, want to make laser-based manufacturing techniques more affordable, more efficient and more accessible – using machine learning.

Vaporize or melt?

First, the two researchers focused on additive manufacturing, i.e. the 3D printing of metals using lasers. This process, known as powder bed fusion (PBF), works slightly differently to conventional 3D printing. Thin layers of metal powder are melted by the laser in exactly the right spots so that the final component is gradually “welded” out of them.

PBF allows the creation of complex geometries that are hardly possible with other processes. Before production can begin, however, a complex series of preliminary tests is almost always required. This is because there are basically two modes for laser processing of metal, including PBF: In conduction mode, the metal is simply melted. In keyhole mode, it is even vaporized in some instances. The slower conduction mode is ideal for thin and very precise components. Keyhole mode is slightly less precise, but much faster and suitable for thicker workpieces.

Where exactly the boundary between these two modes lies depends on a variety of parameters. The right settings are needed for the best quality of the final product – and these vary greatly depending on the material being processed. “Even a new batch of the same starting powder can require completely different settings,” says Masinelli.

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Empa researchers Giulio Masinelli (left) and Chang Rajani want to make laser-based processes for metals more accessible. Image: Empa
Better quality with fewer experiments

Normally, a series of experiments must be carried out before each batch to determine the optimum settings for parameters such as scanning speed and laser power for the respective component. This requires a lot of material and must be supervised by an expert. “That is why many companies cannot afford PBF in the first place,” says Masinelli.

Masinelli and Rajani have now optimized these experiments using machine learning and data from optical sensors that are already incorporated in the laser machines. The researchers “taught” their algorithm to “see” which welding mode the laser is currently in during a test run using this optical data. Based on this, the algorithm determines the settings for the next test. This reduces the number of preliminary experiments required by around two thirds – while maintaining the quality of the product.

“We hope that our algorithm will enable non-experts to use PBF devices,” summarizes Masinelli. All it would take for the algorithm to be used in industry is integration into the firmware of the laser welding machines by the device manufacturers.

Real-time optimization

PBF is not the only laser process that can be optimized using machine learning. In another project, Rajani and Masinelli focused on laser welding – but went one step further. They not only optimized the preliminary experiments, but also the welding process itself. Even with the ideal settings, laser welding can be unpredictable, for example if the laser beam hits tiny defects on the surface of the metal.

“It is currently not possible to influence the welding process in real time,” says Chang Rajani. “This is beyond the capabilities of human experts.” The speed at which the data have to be evaluated and decisions to be made is a challenge even for computers. This is why Rajani and Masinelli used a special type of computer chip for this task, a so-called field-programmable gate array (FPGA). “With FPGAs, we know exactly when they will execute a command and how long the execution will take – which is not the case with a conventional PC,” explains Masinelli.

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Before and after: Above a laser weld seam before “learning”, below a weld seam from the process optimized by the algorithm. Image: Empa

Nevertheless, the FPGA in their system is also linked to a PC, which serves as a kind of “backup brain”. While the specialized chip is busy observing and controlling the laser parameters, the algorithm on the PC learns from this data. “If we are satisfied with the performance of the algorithm in the virtual environment on the PC, we can 'transfer' it to the FPGA and make the chip more intelligent all at once,” explains Masinelli.

The two Empa researchers are convinced that machine learning and artificial intelligence can contribute a great deal more in the field of laser processing of metals. That is why they are continuing to develop their algorithms and models and are expanding their area of application – in collaboration with partners from research and industry.



Literature

G Masinelli, L Schlenger, K Wasmer, T Ivas, J Jhabvala, C Rajani, A Jamili, R Logé , P Hoffmann, D Atienza: Autonomous exploration of the PBF-LB parameter space: An uncertainty-driven algorithm for automated processing map generation; Additive Manufacturing (2025); doi: 10.1016/j.addma.2025.104677

G Masinelli, C Rajani, P Hoffmann, K Wasmer, D Atienza: Reinforcement Learning on Reconfigurable Hardware: Overcoming Material Variability in Laser Material Processing; IEEE International Conference on Robotics and Automation (ICRA), 2025; doi: 10.1109/ICRA55743.2025.11127658



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