India-made transistor

India-made transistor


Researchers at the Centre for Nano Science and Engineering (CeNSE), IISc, have developed India’s first fully indigenous microwave power transistor based on a gallium nitride-on-silicon approach. These transistors are crucial for strategic applications such as radars, jammers, electronic warfare and telecom infrastructure, where they amplify radio waves during transmission. Most existing gallium nitride (GaN) transistors are built on costly silicon carbide (SiC) platforms and are import-restricted. The GaN-on-silicon approach offers economic advantages and scalability but comes with significant technical challenges.

The CeNSE team overcame these by growing the entire material stack at IISc and designing, fabricating and testing the transistors in-house. They achieved an output of 8W at 10 GHz — suitable for high-frequency applications. A key breakthrough was in engineering the material’s energy landscape by tuning a property called ‘polarisation’. This eliminated the need for intentionally adding carbon or iron impurities, which are commonly used in such devices to enable high-voltage operation. The atomic layer deposition process was meticulously studied and optimised, and the entire fabrication know-how was developed indigenously.

This is the first time in India that GaN-on-silicon microwave transistors have been demonstrated without any intentional carbon or iron addition, marking a significant leap toward self-reliance in advanced semiconductor technologies.

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Published on May 4, 2025



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Long live avatar!

Long live avatar!


There is certainly no one who can fill the vacuum left by the death of a loved one.

But with AI you can create a digital avatar of the dearly departed and, perhaps, share many more years of togetherness, even if it’s only of the virtual kind.

You can make a digital avatar of yourself; the avatar will live forever.

The idea of a digital presence is not new. A company called eterni.me has been offering such services for a decade now. But these are mostly interactive bots. Things have speeded up greatly with generative AI. Digital immortalisation has become sharper, easier, more believable, more interactive.

Katarzyna Nowaczyk-Basiska, a research fellow at the Leverhulme Center for the Future of Intelligence, University of Cambridge, told Scientific American recently that to create your postmortem avatar, you need tomes of personal data and AI — you need to grant access to your personal data to the commercial company; it means that you share your video and audio recordings and your messages, so that AI can make sense of it.

So, is it all good or bad?

If the digital avatar ‘learns’, it would become an entirely different person. A digital avatar could interfere with the process of ‘closure’ of the dead, keeping memories alive and painful. What if the avatar is manipulated by a third party for fraud?

Think about all these potential scenarios carefully before you seek a “rebirth”.

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Published on May 4, 2025



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Is India’s DEW technology battle-ready?

Is India’s DEW technology battle-ready?


A laser weapon developed by the Defence Research and Development Organisation to shoot down aerial targets
| Photo Credit:
ANI

Recently, the news of a Turkish cargo aircraft’s brief stopover at Karachi airport set off a wave of conspiracy theories, given the escalating tensions between India and Pakistan over the terrorist attack on tourists at Pahalgam in Kashmir. Turkey said the halt was for refuelling, but not many bought that line.

A few defence analysts have surmised that Turkey may have supplied Pakistan a planeload of drones, possibly the Bayraktar TB2, which has proved itself in many conflicts.

If Pakistan sends across a swarm of these, can India stand up to the challenge?

On April 13, the Centre for High Energy Systems and Sciences (CHESS), Hyderabad, which is part of the Defence Research and Development Organisation (DRDO), announced it had successfully tested a ‘directed energy weapon’ (DEW) — which can send a 30 kW laser beam to a target and incapacitate it structurally. The significance of the timing is not lost on anyone — the DRDO has been working on the technology for at least 13 years, only to taste success at an opportune juncture.

The use of lasers in cutting hard materials, such as metal, is nothing new. Remember the scene from Goldfinger?

James Bond, held captive by the villain Goldfinger, is spread-eagled on a table, even as a laser beam cuts through the table and advances menacingly towards Bond’s groin. It would have slit him alright, but the debonair spy talks his way out of the mortal danger and ultimately kills Goldfinger.

While industrial lasers are used for precision cutting in controlled environments, laser-based weapons need to destroy or disable fast-moving targets that likely have stealth capabilities and are smart.

Only three countries — the US, China and Russia — have DEWs. India will join this elite club.

What are DEWs?

The US Office of Naval Research describes DEWs as “electromagnetic systems capable of converting chemical or electrical energy to radiated energy and focusing it on a target, resulting in physical damage that degrades, neutralises, defeats or destroys an adversarial capability”.

DEWs are mainly of three types: High-energy laser (HEL), which uses a focused, invisible beam, typically in infrared wavelengths, to destroy a target; high-power microwave (HPM), which uses electromagnetic radiation in microwave wavelengths to burn electronics, such as sensors, in a target; and millimetre wave (MMW) systems, which operate at low wavelengths for non-lethal applications, such as crowd dispersal.

HPMs have less punch, but can bring down a swarm of projectiles, such as drones, says Dr Ratnajit Bhattarjee, Head, Manekshaw Centre of Excellence for National Security Studies and Research, IIT-Guwahati.

An HEL can blow a target out of the sky, while an HPM can attack multiple targets simultaneously and disable them while not destroying them completely. The laser beam, pulsed or continuous, is 2,00,000 times more powerful than the laser pointer that people use for power-point presentations.

High-energy laser beams need energy. The power source should accompany the system when mounted on a battlefield truck. While batteries, supercapacitors and even diesel generators can do the job, the challenge is to ensure they are long-lasting.

Managing the heat they generate is the second challenge, calling for substantial cooling capacity, which again needs power. Typically, a 30-kW system may require 150 kW (200 HP) power. Yet another challenge is to miniaturise the system for use on fighter aircraft and UAVs. High-power microwave devices need relatively less power to energise microwave generators like magnetrons or klystrons.

India’s tryst with DEW

DRDO’s 30-kW HEL is a milestone, but still considered a testbed rather than a fully integrated battle weapon. It was shown to destroy aerial targets of up to 5 km range. It is a precursor to a more advanced 100-kW DEW, christened DURGA-II (directionally unrestricted ray-gun array), and a more advanced 300-kW Surya. These will take a few years to become fully operational.

So, if Pakistan threatens with armed drones, India is not quite in a position to snap its fingers and say, “bring them on” — but it is not helpless either. Indian startups like Big Bang Boom Solutions, Paras and Tonbo Imaging have anti-drone solutions, though of less power and range. And, of course, there are other ways of neutralising drones, namely using guns and jammers.

The need of the hour is high-power, indigenous machines. While these have long been in development, there appears to be an inflection point, and the Army will have them in a matter of years.

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Published on May 4, 2025



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Innovation driven by empathy at the grassroots level

Innovation driven by empathy at the grassroots level


AI-LED SAFETY: Niloofer Abed, assisted by her son Abtin Deldari, works on her farm security system

As a child, Niloofer Abed was witness to the environmental depredations caused by the oil and gas sector. Growing up in her native city Shiraz in Iran, Abed saw gas flaring leading to polluted waters and dead fish. Rather than watch helplessly, she resolved to do something about it.

From the oilfields of Iran to the arid farmlands of Rajasthan, Abed’s journey is a testament to the transformative power of purpose-driven science. A doctoral scholar at Amrita University’s E4LIFE international PhD programme, Abed found a platform to channel her concerns into action. The university’s focus on community engagement and sustainable development resonated with her aspirations. She decided to leverage technology to address the day-to-day problems of rural communities. This led her to Hari Rampura, a village in Rajasthan’s Sawai Madhopur district. The village’s 510 residents grappled with issues ranging from water scarcity and erratic monsoons to frequent crop raids by wild animals, such as the Nilgai and wild boar. The nocturnal wildlife intrusions severely hit agricultural productivity, forcing farmers to stay awake through the night to guard their fields.

Abed began working on solutions that could safeguard both human and animal lives. The community suggested traditional methods like fires, herbal repellent and noise-making, which were integrated into a broader strategy. Neighbourhood watch groups were established to monitor the fields collectively.

The next step was the development of a solar-powered, AI-driven crop protection system, which uses deep learning algorithms and IoT connectivity to detect and deter animals without causing harm. Equipped with motion sensors and real-time monitoring capabilities, the system alerts farmers via a user-friendly mobile application, allowing them to respond promptly to potential threats. Notably, the device includes a ‘recovery zone mechanism’ to guide displaced animals to safe areas, where they can recuperate before returning to their natural habitats.

Tailored solution

The technology’s design was tailored to suit the local context, given the limited digital literacy in the village — the user interface features icon-based navigation and support for local languages. Solar power was chosen to ensure sustainability, though challenges like inconsistent sunlight and dust accumulation required additional engineering solutions. Moreover, the AI model was trained on a custom dataset to accurately identify region-specific wildlife.

Thanks to the initiative, farmers in the region no longer face sleepless nights, leading to improved health and family well-being. Crop yields have increased due to reduced losses, enhancing food security and economic stability in the community.

Abed believes her work demonstrates that scientific innovation grounded in empathy and community collaboration can forge pathways to a more equitable and sustainable future.

(The writer is an independent journalist based in Chennai)

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Published on May 4, 2025



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Less than human, more than lab rat

Less than human, more than lab rat


Imagine this: An adult human body, lying on a table. It is not alive — it never did have ‘life’. But it has all organs functioning — except the brain. It is not sentient; it can never feel pain or pleasure — it is “experientially blank”. A fully lab-grown zombie, produced for scientific experiments, including drug testing.

Welcome to the emerging world of ‘bodyoids’.

Come to think of it, if you can grow organs-on-a-chip, why not an entire human body?

Scientists are researching developing bodyoids — they are not there yet, but well on the way.

They are using pluripotent stem cells, which are the earliest cells that form and give rise to every other type of cell in the body. From pluripotent stem cells to actual embryos, it is but a hop, as is embryo to fetus. After all, they also have artificial uterus technology to help.

So, in the near future, a biotech company can mass-produce human bodies that medical students can dissect and study, pharma companies can inject with drugs and assess their effect, avoiding putting mice and primates through the misery of drug tests.

Some may find the idea of bodyoids exciting, others disturbing, raising ethical questions.

Writing in MIT Technology Review, Carsten T Charlesworth, a postdoctoral fellow at the Institute of Stem Cell Biology and Regenerative Medicine, is all for it. He says it is possible to even build animal bodyoids for, say, work in agricultural fields, replacing sentient animals. Charlesworth does advocate caution, but stresses that “the opportunity is too important to ignore”.

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Published on April 20, 2025



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How AI can cut green hydrogen cost

How AI can cut green hydrogen cost


Green hydrogen is costly (at best, $4 a kg); the two key drivers of costs — electrolysers and electricity — are the focus of research, but economics can’t quarrel with physics. There is only so much you can do to hammer down costs.

Or so it was thought.

A new pathway is opening to tame recalcitrant costs — artificial intelligence (AI) and its subset machine learning (ML). AI/ML can assist in each step of the production — analyse real-time operational parameters such as temperature, pressure and input electricity; predict faults; and help discover catalysts that are alternatives to costly rare materials such as platinum and iridium (a gram costs $5,000).

International Energy Agency’s ‘Green Hydrogen Review 2023’ estimated that over 50 green hydrogen projects were using AI, involving some $500 million investment. In many pilot projects, AI usage has achieved efficiency gains of 5-15 per cent; this could go higher with more operational data, notes a June 2024 paper by Ashish Saxena, Master of Technology with Amazon, Seattle. He notes that Siemens Energy incorporated ‘reinforcement learning’ (RL), a type of ML, to enable online tuning of over 70,000 parameters for their electrolysis process to achieve 8-10 per cent enhancement. “The models used equipment control variables and performance measures to come up with the best control strategies,” says Saxena, noting that falling cost of software, sensors, and IoT connectivity is making AI affordable.

Experts such as Saxena underscore the value of AI in predictive maintenance and process optimisation. When run continuously, AI models feed on real-time data from the equipment’s performance to anticipate failures.

Catalyst finder

A bigger role AI could play is in identifying affordable catalysts for hydrogen evolution reactions (HER) in electrolysers. Catalysts, which speed up a chemical reaction without being consumed in the process, help in hydrogen and oxygen evolution in electrolysers.

The performance of a catalyst is influenced by the interplay of the structure, composition, electronic configuration, adsorption site geometry, and so on of the alloying materials. Analysing the parameters of hundreds of materials to determine the right combination is a daunting task, but could be made easier by AI.

But this begs the question why catalysts for hydrogen evolution reactions (HER) thrown up by AI are not commonplace. Indeed, AI has suggested some interesting catalysts, as we will see later, but the problem is the cost and complexity of experimental data generation needed to feed the AI models.

Prof KE Vipin and Prof Prahallad Padhan of IIT-Madras are developing novel ML methodologies for predicting and designing high-performance, cost-effective intermetallic catalysts for HER and oxygen evolution reaction (OER).

They used a dataset extracted from the Catalysis-hub database, representing a significant compilation of alloy catalysis data for HER and OER. It involved 16,226 distinct data points, with 8,856 entries focused on HER catalysis and 7,370 entries dedicated to OER catalysis, they say in a paper, which is yet to be peer-reviewed. Vipin and Padhan created a “systematic, data-driven approach to catalyst design that can overcome the limitation of traditional trial-and-error methods”. Incidentally, the model is good for designing any catalyst, not just for hydrogen evolution.

Using regression algorithms such as Random Forest, XGBoost, and Support Vector Regression, the model can “accurately predict the Gibbs free energy of hydrogen adsorption on bimetallic alloy surfaces — a key descriptor for catalytic activity,” Vipin told Quantum. Gibbs free energy is a thermodynamic quantity that tells us whether a chemical process can happen spontaneously, without needing extra energy.

“While we haven’t experimentally validated new catalysts yet, we are using the trained model to screen and predict promising new bimetallic candidates,” Vipin said. These predictions are further evaluated through density functional theory simulations to confirm their potential theoretically before going for experimental testing.

AI-driven catalyst design has already led to several candidates emerging, including a ‘nickel-incorporated carbon quantum dots’ (based on a Bayesian genetic algorithm); a ruthenium–manganese–calcium–praseodymium mixed oxide catalyst; and a copper-aluminium catalyst.

First key step

It must be noted that designing a catalyst is only the first (but indispensable) step — it must cross the ‘valley of death’ between research labs and industry. It must work fine for long years and not collapse after a burst of performance. It should integrate seamlessly with existing systems.

AI is helping win this major part of the battle. Once you have systems that help increase the efficiency of electrolysers (indeed the entire value chain of green hydrogen, including renewable energy assets), and an affordable catalyst, then green hydrogen can come within the reach of commerce.

“The path to a sustainable hydrogen economy is complex and multifaceted, requiring innovative solutions that transcend disciplinary boundaries,” write Vipin and Padhan.

“Through advanced machine learning approaches, we stand at the cusp of a potential breakthrough that could revolutionise green hydrogen production, bringing us significantly closer to a decarbonised, sustainable global energy system,” they add.

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Published on April 20, 2025



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