Once in a lifetime - designing electrolyser technologies to work reliably with fluctuating renewable power

Sensor fusion will be needed to unlock BVLOS, but achieving low SWAP-C is key to take “detect and avoid” to the next level. TTP went back to first principles to work out what is possible with different sensors.
Industrial biomanufacturing must forge ahead and invent its own process technology to scale up the production of food and materials.
Quantum entanglement is the scientific basis for "quantum 2.0" technologies being developed all over the world. But how do we reduce risk and uncertainty for adopters? Technology standards can help to abstract out the complex science, but it’s crucial not to stifle innovation.
We need to scale up green hydrogen electrolysers to meet the demands of a net zero world. The first step is to understand the scale of the challenge.
As cell and gene therapies become more mainstream, how can – and should – the industry assure the reliability of the therapy manufacturing equipment?
Spatial sequencing still seems too expensive to match the offer of subcellular resolution and usability of FISH-based technologies outside of the research lab – but with declining costs the value of spatial sequencing could be significant. We see many opportunities for companies to improve their technologies as they look to develop an industry-leading platform.
Diagnostic applications of spatial, multi-omic tissue analysis are emerging. Now we need new technologies to support the field of tissue pathology in making these insights available to clinicians caring for millions of patients.
The need for hydrogen gas sensing is growing beyond its historic focus on leak detection to encompass a broader range of opportunities including blending, process control and metering. Is there one technology that can meet each of these very different opportunities?
Nerve stimulation therapies for chronic pain can be very successful. But patients and clinicians face day-to-day challenges in the delivery of therapy that call for greater personalisation. Adaptive stimulation paradigms based on neural sensing data could help to achieve this – and give us additional insights.
Much is to be gained from developing next-generation sample preparation techniques to keep up with progress in DNA sequencing technology.