Artemis-2: Hurtling moon-ward on an epochal mission

Artemis-2: Hurtling moon-ward on an epochal mission


The Artemis 2 mission will fly a figure-eight pattern that will take the crew around the Earth and then around the moon
| Photo Credit:
NASA/JSC/Goddard

As you are reading this, three Americans (including a woman) and a Canadian are hurtling moon-ward on an epochal mission, whose success will ginger up global deep-space activities.

Apollo, after whom the moon missions between 1969 and 1972 were named, was the son of Zeus, the mythical Greek king of gods, and Leto.

More than half a century after the last Apollo mission, it is the turn of twin sister, Artemis, to lend her name to a moon mission.

Artemis-2 is truly wow. Since the Orion capsule — the temporary residence of the four astronauts — will circle the moon without entering the moon’s orbit, the team will go farther than any human ever has — close to 4,00,000 km from the Earth to the moon, and nearly 4,000 km beyond the far side of the moon — slightly exceeding the record set by Apollo 13.

Like Apollo 8, which took humans around the moon for the first time ever, Artemis-2 will fly by the moon during its 10-day mission.

Along the way, it will have to brave many demons such as van belt radiation, unexpected solar storms and galactic cosmic rays, and guard against even the tiniest of errors in navigation that could lead it astray.

And its return to the earth’s atmosphere will be anything but easy — zipping in from that distance, the speed at re-entry will be far more than in a low-earth orbit mission, calling for ultra-advanced heat shields.

The success of Artemis-2 will mean that humans will walk again on the moon soon.

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Visual Generation
INSIDE A TOKAMAK. The doughnut-shaped nuclear fusion reactor chamber

Published on April 6, 2026



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Power supply lessons for AI

Power supply lessons for AI


India’s electricity grid has long resisted the forecasting methods that work elsewhere. A recent study, ‘Indian peak power demand forecasting: Transformer-based implementation of temporal architecture’, by Vishvaditya Luhach and Shashwat Jha, applied a transformer-based architecture to Indian peak power demand and achieved a mean absolute percentage error of 4.15 per cent across a six-year daily dataset. The number matters less than what the attempt reveals about the problem.

The structural difficulty of India’s demand curve has several layers. Agricultural irrigation draws heavily on subsidised, largely unmetered power that follows crop cycles and monsoon patterns across States with different cropping calendars, groundwater conditions and seasonal rainfall. Historical consumption data carries all of this embedded complexity without labelling it.

The pre-monsoon months compound this. From April through June, cooling demand peaks as temperatures climb toward their annual high, while reservoirs depleted through the dry season constrain hydro-generation capacity. Supply tightens precisely when demand is most acute. A temperature variable captures one side of this; it cannot capture the reservoir cycle, which moves adversely against it at the same time.

Most fundamentally, India’s observed peak demand strains supply and is hence expensive. Large portions of the population remain underserved or unconnected, and the training signal understates latent consumption by an uncertain margin, which will shift as electrification expands.

Mature grids in western Europe have stable, metered and climatically moderate demand profiles. India’s grid has none of these properties.

The temporal fusion transformer handles this environment better than its competitors for a specific architectural reason: It processes three input types simultaneously — historical observations, known future variables such as calendar dates and public holidays, and static metadata — without requiring the analyst to pre-specify how they interact. It learns the weighting. Its variable selection mechanism highlights which inputs drove a given forecast, making its reasoning available for inspection. For regulators, a model that can be audited is qualitatively different from one that produces only a number.

Domain fit

The study’s most telling result involves a model that did not perform well. The temporal convolutional network, a sophisticated deep-learning architecture with a creditable record in sequence modelling, was outperformed by naive seasonal forecasting: A method that essentially extends yesterday’s pattern with a drift adjustment. The paper is limited enough that a more rigorous investigation — with regional disaggregation, more model comparisons and finer-grained data — might tell a different story about the TCN.

The result still points to something real. General purpose architectures designed to handle heterogeneous, multi-layered inputs fared better on India’s demand curve than a deeper model optimised for sequential pattern extraction. Domain fit outweighed architectural sophistication, and India’s grid exposed the difference.

A more accurate forecast only improves outcomes if the institution receiving it can act on it. Decisions about generation capacity, transmission investment and storage procurement require forecasts that look years ahead; infrastructure takes years to build and decades to pay off. Acting on those forecasts requires procurement flexibility, regulatory frameworks and pricing signals, which most State electricity boards and central planners do not yet have.

The transformer’s migration from language parsing to power grid management reflects something specific: A compact set of mathematical operations, designed to identify which parts of a sequence matter most for predicting what comes next, generalises across domains defined by long-range temporal dependencies. India’s grid, with its accumulated complexity, is among the most demanding tests of that generalisation. Passing it is a result worth examining.

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Published on April 6, 2026



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India contributes ₹745 crore to multi-country ITER

India contributes ₹745 crore to multi-country ITER


India will “maintain its contribution” to the International Thermonuclear Experimental Reactor (ITER), a multi-country fusion reaction plant coming up in France, at ₹745 crore, according to government documents. ITER is a long-term project; according to the latest Energy Technology Perspectives 2026 report of the Internati- onal Energy Agency, the ITER, if successful, could pave the way for a 500 MW demonstra- tion plant connected to the grid, by around 2050. India’s contribution is part of a growing global interest in fusion, even if the results are expected far in the future (see related report ‘Why nuclear fusion is gaining funding’).

Next-gen material for efficient energy storage

Newly developed polymeric materials could significantly improve energy storage and green hydrogen production, advancing access to clean energy.

Scientists have created coordination polymers, Zn (DAB) and Cd (DAB), in which zinc or cadmium ions combine with organic molecules to form stable, layered structures.

A key advantage is that these materials can be easily synthesised at room temperature, without complex equipment, making them suitable for largescale use.

Researchers from the Centre for Nano and Soft Matter Sciences, in collaboration with Christ University, tested the materials for two critical clean-energy applications — energy storage and hydrogen generation.

In laboratory tests, the materials demonstrated high energy storage capacity and retained performance even after thousands of charge–discharge cycles, indicating strong durability, according to a press release.

They also performed well in more practical, device-like conditions.

Equally important, the materials showed strong potential as electrocatalysts for water splitting, requiring relatively low energy input to produce hydrogen. This makes them competitive with some of the best existing materials.

Graphite from spent battery

A new technology for the reuse of spent graphite recovered from end-of-life lithium-ion batteries could convert battery waste into a high-value functional material that improves fuel cell efficiency.

Researchers from the International Advanced Research Centre for Powder Metallurgy and New Materials (ARCI) recovered graphite from spent lithium-ion batteries and chemically peeled (exfoliated) it to increase surface area and the number of edge functional groups.

They also carried out extensive physicochemical characterisation, electrochemical evaluation for oxygen reduction reaction and methanol tolerance, and optimisation of composition for maximum performance and stability.

When integrated with platinum catalysts, the exfoliated graphite formed a conductive network that enhanced both electronic conductivity and oxygen transport while selectively adsorbing methanol molecules. This also acted as a chemical barrier, suppressing methanol oxidation and platinum CO poisoning. An optimum composition of 10 wt per cent exfoliated graphite was identified, offering superior performance and durability.

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Published on April 6, 2026



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Why nuclear fusion is gaining funding

Why nuclear fusion is gaining funding


INSIDE A TOKAMAK. The doughnut-shaped nuclear fusion reactor chamber
| Photo Credit:
quantic69

Nuclear fusion, arguably a yet-to-be-proven commercial energy source — and a big-bucks game — is gaining traction. You have large research projects, such as the International Thermonuclear Experimental Reactor (ITER), a multi-country endeavour located in France (to which, incidentally, India is contributing ₹745 crore in 2026-27), alongside many fusion start-ups, which have been receiving investor interest and aim to produce energy in the next decade.

According to the recently released Energy Technology Perspectives (2026) report of the International Energy Agency, cumulative venture capital in fusion energy companies has reached about $11 billion. A few are from India, such as Anubal Fusion, which is technically assisted by the Tata Institute of Fundamental Research (TIFR), and Pranos Fusion, which raised ₹63 crore last month.

At least three other fusion energy companies have announced fund-raise in February. US-based Shine Technologies, which is into businesses such as nuclear medicine, nuclear fuel recycling and nuclear fusion, has received about $750 million since 2018, including $240 million in February this year.

Another American company, Realta Fusion, received a loan of $9.5 million from the Silicon Valley Bank in February, complementing the $36 million of equity funding it secured from a host of investors, including Khosla Ventures. Realta Fusion is a startup spun out of research work at the University of Wisconsin-Madison; the company says it is “developing linear magnetic mirror machines that utilise high-temperature super-conducting magnets”.

OpenStar Technologies of New Zealand got a $21 million loan from its government to set up a “bespoke fusion energy research and development facility”. This, read in conjunction with the UK government releasing last month a fusion energy strategy paper, illustrates the keenness of governments in supporting home-grown fusion technologies — a lesson for India.

What explains the sudden and growing interest in fusion, which still stands on shaky ground? The IEA report reasons that “falling computation costs, more data and technical breakthroughs have driven AI capabilities to accelerate energy innovation”, while cautioning that “the extent of its real-world impact remains to be seen”.

Recent advances

The report speaks of “some important advances in fusion technology” in recent times. Fusion energy is all about getting two atoms — mostly from the two isotopes of hydrogen, deuterium and tritium — to merge, producing heat in the process. For this, you need a pool of plasma confined in extremely high temperatures. Adding to that challenge is the problem of neutrons flying off and hitting the walls of the vessel, typically the doughnut-shaped tokamak, making the walls brittle.

Tackling these problems calls for innovative thinking — this is where start-ups, born in university research labs, see a play for themselves. For example, Germany’s Gauss Fusion, which aims to have a commercial plant in the early 2040s, is working on enhanced tritium generation using an isotope of lithium (Li-6). Tritium (unlike deuterium) is a key ingredient and in short supply. Bengaluru-based Anubal Fusion, backed by Speciale Invest, is toying with the idea of bombarding boron-11 with protons using TIFR-made high-power lasers, an approach that could side-step some challenges encountered in conventional reactors.

While nuclear fusion is dressing up for commercialisation, it is not happening anytime soon. However, as the IEA report notes, “if realised, the prize will be extraordinary”. Fusion produces a lot of cheap energy, with no emissions and shorter-lived radioactive waste, an irresistible prospect for venture capital.

‘Not hype’

“The renewed investor interest in fusion isn’t hype,” says Vishesh Rajaram, Founding Partner at Speciale Invest. “It is a rational response to the scale of the climate challenge and the real progress being made in the lab,” he told Quantum.

Speciale Invest funds deep-tech startups; its portfolio has over 40 investees. The fund house said its investment in Anubal Fusion reflected the belief that “India can, and should have a seat at the table in defining the energy technologies of the next century”. Fusion sits at the core of these technologies.

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Published on April 6, 2026



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Big budgets, slow science: BARC under-spends on R&D

Big budgets, slow science: BARC under-spends on R&D


India’s premier nuclear research body, Bhabha Atomic Research Centre (BARC), has struggled to spend the funds allocated to it by the government for R&D.

The publicly funded BARC has several projects of national importance on its table — ranging from advanced conventional reactors and fast-breeder reactors (key to harnessing India’s thorium resources) to thermal reactors for green hydrogen, isotope development and high-energy particle accelerators. These are critical for energy, nuclear medicine and even food preservation. Yet, BARC has been unable to fully utilise its R&D allocations.

This pattern extends across other Department of Atomic Energy institutions under the Prime Minister’s Office, such as the Indira Gandhi Centre for Atomic Research (IGCAR), the Raja Ramanna Centre for Advanced Technology (RRCAT) and the Board of Radiation and Isotope Technology (BRIT). BARC, the largest among them, was allocated ₹1,100 crore for R&D in 2025-26, while “establishment expenses” were nearly three times higher at ₹3,135 crore.

The R&D allocation was later revised down to ₹919 crore. Till December 2025, BARC had spent about 55 per cent.

The Budget for 2026-27 has nearly doubled BARC’s R&D allocation to ₹1,800 crore.

BARC’s inability to spend allocated funds has been flagged by the Parliamentary Standing Committee examining the department’s demands for grants. The committee noted that the gap between budget estimates and actual utilisation “reflects a recurring pattern of over-estimation… compounded by procedural delays in project execution”.

Among the major projects pending for decades, the accelerator-driven subcritical systems (ADSS) project has been on the anvil since at least 2001. Similarly, plans for a high-intensity 1 GeV proton accelerator, potentially placing India at the forefront of nuclear fusion technology, have seen little progress for over two decades. BARC’s high-temperature reactor for hydrogen production was presented internationally as early as 2006, but no product is yet in the market.

The committee cautioned that higher allocations must be matched by “improvements in execution readiness”.

BRIT, a unit of BARC, allocated ₹88 crore in 2025-26 (later revised to ₹35 crore), spent only ₹12.43 crore, a third of the revised estimate. The 2026-27 Budget has again raised the allocation to ₹76 crore.

RRCAT spent ₹42 crore (till December 2025) against an original allocation of ₹178 crore and a revised estimate of ₹63 crore. The gap is even starker for IGCAR, where the original allocation of ₹225 crore was cut to ₹68 crore, with actual spending at ₹50 crore.

‘Expenditure vacuum’

The department attributed the underspending to project cycles — several projects were concluded in 2023-24, while new ones began only in October 2025. The committee, however, was not convinced, calling it “indicative of a deeper structural issue”. It observed that the gap between the conclusion of one project cycle and the initiation of the next cycle “has resulted in a prolonged expenditure vacuum at a premier nuclear research institution”.

Data from the report also show that establishment costs of the four research units — BARC, IGCAR, RRCAT and BRIT — are more than double their R&D spending: ₹5,171 crore versus ₹2,396 crore in 2025-26 (revised estimates).

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Published on April 6, 2026



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Mind-reading tech

Mind-reading tech


Australian media recently reported on an interesting device that can help paralysed persons “regain connection with the world through text, email, shopping and banking online.”

The matchstick-sized implant, called Stentrode, is placed in a blood vessel near the motor cortex of the brain. Once deployed, it self-expands and stays in position. It senses electrical activity from nearby neurons, particularly signals associated with intended movement. These signals are transmitted via a thin wire to a small device implanted in the chest, which then sends them wirelessly to an external computer. There, specialised software decodes the patterns and converts them into digital commands — such as moving a cursor, clicking or typing. In effect, the system — developed by a company co-founded by Prof Thomas Oxley of University of Melbourne — translates the brain’s intention, enabling interaction without physical movement.

This development has brought renewed attention to an emerging field known as brain-computer interfaces (BCI). We are familiar with EEG, which reads brain activity through external sensors. Researchers like Oxley are taking the technology much deeper. Most current work on BCI is focused on medicine, including operating wheelchairs and other assistive devices.

Looking ahead, the possibilities are striking — especially when combined with artificial intelligence. One can imagine, for instance, switching off a device at home by thought alone or access data directly from a computer.

Inevitably, there are ethical questions. As Jackson Tyler Boonstra, a postdoctoral researcher at Vrije University Amsterdam, notes in a recent paper, “While BCIs hold transformative potential for treating neurological disorders, their premature translation into consumer markets risks outpacing neuroscientific understanding and ethical frameworks.”

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Published on March 23, 2026



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