logo
Scientists in India turn sunlight into fuel - Green hydrogen tech could power homes, cars

Scientists in India turn sunlight into fuel - Green hydrogen tech could power homes, cars

Time of India26-06-2025
New Delhi: In a development that could significantly advance India's green hydrogen ambitions, scientists at the
Centre for Nano and Soft Matter Sciences
(CeNS), Bengaluru, have designed and tested a next-generation device that produces green hydrogen by directly splitting water molecules using sunlight and earth-abundant materials.
Unlike the conventional route—where solar panels generate electricity that powers an electrolyser to split water—this new system uses a direct photoelectrochemical (PEC) process. Here, sunlight itself triggers the water-splitting reaction, eliminating the need for an external power supply or fossil-fuel-based backup. This makes the process simpler, more efficient, and potentially cheaper.
The research, led by Dr Ashutosh K. Singh and his team at CeNS—an autonomous institute under the Department of Science and Technology (DST)—focuses on building a sustainable and scalable system for green hydrogen generation. The work has been published in the Journal of Materials Chemistry A by the Royal Society of Chemistry.
The device and its design
At the core of the innovation is a novel silicon-based photoanode featuring an n-i-p heterojunction architecture. This includes layers of n-type titanium dioxide (TiO₂), intrinsic silicon (Si), and p-type nickel oxide (NiO). The structure enhances light absorption, improves charge separation, and ensures efficient charge transport—critical for direct solar-to-hydrogen conversion.
The materials were deposited using magnetron sputtering, a commercial-scale thin-film technique known for precision layering and structural stability. The device operated in alkaline electrolyte conditions and maintained structural integrity over extended hours of use.
Key performance indicators
The prototype achieved a surface photovoltage of 600 millivolts and a low onset potential of 0.11 volts versus the reversible hydrogen electrode (VRHE), indicating high photoelectrochemical efficiency and a low energy threshold. It ran continuously for over 10 hours under simulated solar irradiation with only a 4% drop in performance.
'The heterostructure was specifically designed to maximise PEC efficiency while maintaining long-term stability,' said Dr Singh. 'This brings us closer to building practical, fossil-fuel-free hydrogen systems.'
Scalability and impact
To demonstrate scalability, the team tested a 25 cm² photoanode, which performed effectively under solar water-splitting conditions. This scale-up shows promise for moving from lab to pilot applications and potentially to commercial hydrogen production.
The device's design avoids rare-earth or high-cost catalysts, does not require high pressure or temperature, and is compatible with different lithium-ion battery chemistries for renewable storage integration—making it flexible and economically viable.
National relevance
The innovation supports India's clean energy goals under the National Green Hydrogen Mission and Aatmanirbhar Bharat. By producing green hydrogen directly from sunlight without relying on electricity or imported materials, the device contributes to energy self-reliance and carbon-neutral fuel alternatives for mobility, power generation, and industry.
According to the DST, such breakthroughs can accelerate India's leadership in solar hydrogen technology and help build decentralised hydrogen hubs with localised energy ecosystems.
Outlook
The CeNS team is exploring further scale-up pathways, industry partnerships, and integration into existing hydrogen infrastructure. They also plan to test the device in varied climatic conditions to assess long-term field performance across India.
If successful, the technology could help build round-the-clock renewable energy systems, especially in sectors where direct electrification is difficult—offering a new route to affordable and indigenous green hydrogen at scale.
te long-term field applications.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Generative AI boosts customer retention by 14% in Insurance sector: Report
Generative AI boosts customer retention by 14% in Insurance sector: Report

News18

time3 hours ago

  • News18

Generative AI boosts customer retention by 14% in Insurance sector: Report

New Delhi [India], August 11 (ANI): Indian insurers using Generative AI are reporting gains, customer retention has gone up by 14 per cent, and Net Promoter Scores (NPS) have risen 30 per cent, according to information shared in a press release by Experts believe it could play a central role in achieving India's target of 'Insurance for All by 2047."Layak Singh, CEO of said the early impact of Generative AI is most visible in customer-facing areas. 'The industry is witnessing approximately a 14 per cent increase in consumer retention and a 30 per cent rise in Net Promoter Scores, both clear indicators of enhanced customer experience and satisfaction. When implemented effectively with responsibility, Gen AI can serve as a powerful driver of competitive advantage," Singh healthcare, it is powering telemedicine with multilingual, real-time consultations and remote triage. Automated transcription of medical consultations is also making claims faster and more transparent, with reported reductions of 20-30 per cent in loss adjustment expenses and a 10-12 per cent increase in early fraud technology, which is still relatively new in the country, is already reshaping everything from how insurers interact with customers to how claims are traditional AI has been valuable in data analysis, risk scoring, and fraud detection, Generative AI takes things further by creating synthetic data to improve small or incomplete datasets. This allows insurers to make more accurate decisions in underwriting and identify new fraud patterns that conventional systems might next stage will be driven by intelligent AI agents, autonomous systems that can keep learning, work in multiple languages, and make decisions instantly. These agents are already cutting operational costs by up to 30 per cent by handling routine tasks such as data entry, policy administration, and claims processing. They also offer round-the-clock support, tailor coverage options, and speed up claims are also turning to Gen AI for proactive engagement. By spotting early warning signs, the systems can address issues before customers even raise a complaint, improving problem resolution and strengthening trust. 'Generative AI will play a defining role in India's pursuit of 'Insurance for All by 2047' by making insurance resilient, inclusive, and consumer-centric," Singh said, pointing to its role in on boarding, underwriting, and claims. (ANI)

India to focus on voice-first vernacular LLMs: AI Mission CEO
India to focus on voice-first vernacular LLMs: AI Mission CEO

Mint

time13 hours ago

  • Mint

India to focus on voice-first vernacular LLMs: AI Mission CEO

New Delhi: India's $1.2-billion AI Mission is preparing to make voice-first artificial intelligence (AI) models for Indian languages its calling card, aiming to differentiate itself from Big Tech firms that focus primarily on text-based AI. The differentiator for artificial intelligence from India could include Indic languages-focused large language models, alongside voice-first models. In an interview with Mint, Abhishek Singh, additional secretary at the Ministry of Electronics and IT (Meity) and chief executive of the Centre's India AI Mission, said that the country's push to build its own foundational AI models will seek to create solutions that can be replicated in other nations. 'India's common compute infrastructure is a unique model that is receiving a lot of interest from around the world, especially the global south," Singh said. 'While US tech firms are largely building foundational models based on text data as the primary medium, as India, we see a sizeable opportunity to develop foundational models that are primarily trained on voice data, because in future, voice will be the primary and most natural way in which people will interact with AI." The AI Mission, announced in March last year, seeks to offer funding support in the form of access to graphic processing unit (GPU) chips to startups. So far, four startups—Gan, Gnani, Sarvam and Soket—have been approved to build foundational AI models by Meity under the Mission. A total of over 34,000 GPUs, which are fundamental resources used to train AI algorithms on billions of parameters of data, have also been procured by Meity through cloud and data centre providers, which include the likes of Jio,Tata Communications and Yotta. Since its announcement, the India AI Mission has been allocated close to $250 million over the previous and current fiscals. Meity does not disclose the exact budgetary utilization figure. Leaning on language data Singh, however, added that more than procuring GPUs and bringing down the cost of compute for startups building AI models, India's biggest efforts are being pooled into procuring public datasets on Indian languages. 'All foundational models are trained on publicly available datasets. If you look at Wikipedia, which is one of the largest sources of open data used by AI startups, there are millions of pages of data in English—but the number of pages of data in Hindi would be around a few hundred thousand. The amount of data available in other Indian languages, such as Bangla or Assamese, is even less. This is why Meity, through its Bhashini programme, conducted a datasets sourcing drive to procure language data from our own sources," he said. Bhashini, to be sure, maintains a database of 22 Indian languages, which the AI Mission is offering to help startups build LLMs based on these languages. Singh's emphasis is already being reflected in early examples—on 8 May, Sarvam, the first startup approved by the AI Mission, introduced a text-to-speech LLM with native support for 11 Indian languages. 'In the long run, voice-first Indian language LLMs can come into application in public services—such as for a farmer who can use a public utility to reduce his irrigation costs, for access to healthcare in remote districts, and for improving education in fringe sectors. It is this that will be the biggest impact of AI in India," Singh said. While it is too early to test most of the models, Sarvam-M, the first of the Indic language-native AI models born in India, claimed to offer 20% superior performance in vernacular languages over foreign models. However, Sarvam-M is not a foundational model—but is a 24-billion-parameter AI model trained on French startup Mistral's foundational models. Public service apps Industry stakeholders, too, concurred. 'For private corporates, we see a lot of investments going in with a commercial business outcome-linked approach," said Saibal Chakraborty, managing director and senior partner for India at management consultancy firm, Boston Consulting Group (BCG). 'While this only develops the upper layer of AI applications, the need of the hour is for startups to work on public service applications in AI. Not everyone needs to work on foundational models, or try to reinvent the wheel—but public utilities will likely emerge as the biggest disruptor in the long run." The efficacy of the Mission has also been questioned recently, with large, global tech firms such as Google and OpenAI adding support for Indian languages in their latest foundational models. Kashyap Kompella, veteran AI analyst and consultant, said that there would be room for both Big Tech firms and Indian startups to coexist despite targeting a similar base. 'Enterprises are more likely to trust AI models offered by Big Tech, since they have stronger policies and safety safeguards. However, Indian firms have ample scope to disrupt critical sectors. The work on local AI models and investments should continue with a long-term focus, if the ultimate goal is not to be dependent solely on AI built outside the country," Kompella added. Singh reaffirmed this long-term focus, adding that the Mission will seek to create an impact for the future. 'By end-2026, we hope to see the India AI Mission give birth to five foundational LLMs, and up to 100 AI applications catering to public utilities in key sectors such as agriculture, education and healthcare. The government's role is to be an enabler for private firms to take on such work," he said.

Bengaluru must lead with future-ready urban infrastructure: Prime Minister Narendra Modi
Bengaluru must lead with future-ready urban infrastructure: Prime Minister Narendra Modi

Time of India

time17 hours ago

  • Time of India

Bengaluru must lead with future-ready urban infrastructure: Prime Minister Narendra Modi

Bengaluru: Bengaluru must take the lead in building future-ready urban infrastructure to keep pace with the demands of the 21st century, Prime Minister Narendra Modi said Sunday, inaugurating key mobility projects in the city. Tired of too many ads? go ad free now "In the 21st century, urban planning and infrastructure are critical needs for our cities. Bengaluru must be prepared for future," Modi said, highlighting that recent years have seen projects worth thousands of crores launched for Bengaluru. He urged the city to strengthen its role in Make in India and manufacturing. "Our next big priority should be becoming self-reliant in technology. India's products must adhere to the Zero Defect, Zero Effect standard," he said. Hailing India's rise as "the fastest-growing major economy in the world", he noted in 11 years, the country has moved from the tenth to the fifth-largest economy and is rapidly progressing toward becoming one of the top three economies. His remarks come days after US President Donald Trump's India is a "dead economy" jibe. Modi linked this growth to the 'Reform, Perform and Transform' approach, and cited rapid infrastructure expansion: Metro networks have grown from five cities in 2014 to over 1,000km in 24 cities today, making India the third-largest network globally. He noted expansion of railway electrification to over 40,000km in the same period, airports from 74 to 160, and national waterways from three to 30. Highlighting Bengaluru's role in India's transformation, Modi pointed to electronics exports rising from $6 billion in 2014 to $38 billion, with India now among the top five mobile handset exporters. Automobile exports have more than doubled, placing India fourth globally. Tired of too many ads? go ad free now Touching upon the country's technology sector, he said, Indian tech companies have already made a mark globally, developing software and products for the entire world. "It is now time to prioritise India's own needs more strongly and we must accelerate the development of new products, especially as software and apps are now being used across every domain," he added. Calling for self-reliance, he said Karnataka's talent will lead the vision of Aatmanirbhar Bharat. Digital India, he said, now accounts for over half the world's real-time transactions through UPI, with over 2,200 govt services available on mobile. Modi also cited growth in AIIMS (from 7 to 22) and medical colleges (from 387 to 704), along with over one lakh new medical seats. On housing, he said more than 4 crore pucca houses have been provided under PMAY, with 3 crore more planned. The launch event saw political undercurrents, with both Congress and BJP seeking credit for Bengaluru's Metro.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store