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ISRO’s ambitious third Moon mission Chandrayaan-3’s Lander Module (LM) is all set to land on the lunar surface on Wednesday evening, as India eyes becoming the first country to reach the uncharted south pole of Earth’s only natural satellite. The LM comprising the lander (Vikram) and the rover (Pragyan), is scheduled to make a soft landing near the south polar region of the Moon at 6:04 pm on Wednesday.

If the Chandrayaan-3 mission succeeds in making a touchdown on the moon and in landing a robotic lunar rover in ISRO’s second attempt in four years, India will become the fourth country to master the technology of soft-landing on the lunar surface after the US, China and the erstwhile Soviet Union.

Chandrayaan-3 is a follow-on mission to Chandrayaan-2 and its objectives are to demonstrate safe and soft-landing on the lunar surface, roving on the Moon, and to conduct in-situ scientific experiments.

Chandrayaan-2 had failed in its lunar phase when its lander ‘Vikram’ crashed into the surface of the Moon following anomalies in the braking system in the lander while attempting a touchdown on September 7, 2019. Chandrayaan’s maiden mission was in 2008.

The Rs 600 crore Chandrayaan-3 mission was launched on July 14 onboard Launch Vehicle Mark-III (LVM-3) rocket, for a 41-day voyage to reach near the lunar south pole.

The soft-landing is being attempted days after Russia’s Luna-25 spacecraft crashed into the Moon after spinning out of control.

After the second and final deboosting operation on August 20, the LM is placed in a 25 km x 134 km orbit around the Moon.

The module would undergo internal checks and await the sun-rise at the designated landing site, ISRO has said, adding that the powered descent — to achieve a soft landing on the Moon’s surface — is expected to be initiated at around 5:45 pm on Wednesday.

The critical process of soft-landing has been dubbed by many including ISRO officials as “17 minutes of terror”, with the entire process being autonomous when the lander has to fire its engines at the right times and altitudes, use the right amount of fuel, and scan of the lunar surface for any obstacles or hills or craters before finally touching down.

After checking all the parameters and deciding to land, ISRO will upload all the required commands from its Indian Deep Space Network (IDSN) at Byalalu near here, to the LM, a couple of hours before the scheduled time touchdown.

According to ISRO officials, for landing, at around 30 km altitude, the lander enters the powered braking phase and begins to use its four thruster engines by “retro firing” them to reach the surface of the moon, by gradually reducing the speed. This is to ensure the lander doesn’t crash, as the Moon’s gravity will also be in play.

Noting that on reaching an altitude of around 6.8 km, only two engines will be used, shutting down the other two, aimed at giving the reverse thrust to the lander as it descends further, they said, then, on reaching an altitude of about 150-100 metres, the lander using its sensors and cameras, would scan the surface to check whether there are any obstacles and then start descending to make a soft-landing.

ISRO Chairman S Somanath had recently said the most critical part of the landing will be the process of reducing the velocity of the lander from 30km height to the final landing, and the ability to reorient the spacecraft from horizontal to vertical direction. “This is the trick we have to play here,” he said.

“The velocity at the starting of the landing process is almost 1.68 km per second, but (at) this speed (the lander) is horizontal to the surface of the Moon. The Chandrayaan-3 here is tilted almost 90 degrees, it has to become vertical. So, this whole process of turning from horizontal to vertical is a very interesting calculation mathematically. We have done a lot of simulations. It is here where we had the problem last time (Chandrayaan-2),” Somanath explained.

After the soft landing, the rover will descend from the lander’s belly, onto the Moon’s surface, using one of its side panels, which will act as a ramp.

The lander and rover will have a mission life of one lunar day (about 14 earth days) to study the surroundings there. However, ISRO officials do not rule out the possibility of them coming to life for another lunar day.

The lander will have the capability to soft-land at a specified lunar site and deploy the rover which will carry out in-situ chemical analysis of the lunar surface during the course of its mobility. The lander and the rover have scientific payloads to carry out experiments on the lunar surface.

“After powered descent onto the landing site, there will be deployment of ramp and rover coming out. After this, all the experiments will take place one after the other — all of which have to be completed in just one day on the moon, which is 14 days,” Somnath had said.

Stating that as long as the sun shines all the systems will have their power, he said, “The moment the sun sets, everything will be in pitch darkness, the temperature will go as down as low as minus 180-degree Celsius; so it is not possible for the systems to survive, and if it survives further, then we should be happy that once again it has come to life and we will be able to work on the system once again, and we hope like that to happen.” Polar regions of the moon are very different terrain due to the environment and the difficulties they present and therefore have remained unexplored. All the previous spacecraft to have reached the Moon landed in the equatorial region, a few degrees latitude north or south of the lunar equator.

The Moon’s south pole region is also being explored because there could be a possibility of the presence of water in permanently shadowed areas around it.

The LM has payloads including RAMBHA-LP which is to measure the near-surface plasma ions and electrons density and its changes, ChaSTE Chandra’s Surface Thermo Physical Experiment — to carry out the measurements of thermal properties of the lunar surface near-polar region– and ILSA (Instrument for Lunar Seismic Activity) to measure seismicity around the landing site and delineating the structure of the lunar crust and mantle. The rover, after the soft-landing, would ramp down the lander module and study the surface of the moon through its payload APXS – Alpha Particle X-Ray Spectrometer – to derive the chemical composition and infer mineralogical composition to further enhance understanding of the lunar surface.

The rover also has another payload Laser Induced Breakdown Spectroscope (LIBS) to determine the elemental composition of lunar soil and rocks around the lunar landing site.

Ahead of its scheduled landing on the moon, Chandrayaan-3’s LM has established two-way communication with Chandrayaan-2’s orbiter which continues to orbit around the Moon. The two-way contact potentially offers ground controllers (MOX-Mission Operations Complex in Bengaluru) more channels for communication with Chandrayaan-3.

The Chandrayaan-2 spacecraft comprising an orbiter, lander and rover was launched in 2019. The lander with a rover inside crashed into the moon’s surface, failing in its mission to achieve a soft landing. The ISRO had said that due to the precise launch and orbital manoeuvres, the mission life of the Ch-2 orbiter, which had separated from the lander and rover, is increased to seven years.

Somanath has said instead of a success-based design in Chandrayaan-2, the space agency opted for a failure-based design in Chandrayaan-3, focused on what can fail and how to protect it and ensure a successful landing.

“We looked at very many failures – sensor failure, engine failure, algorithm failure, calculation failure. So, whatever the failure we want it to land at the required speed and rate. So, there are different failure scenarios calculated and programmed inside.” The LM of Chandrayaan-3 successfully separated from the Propulsion Module on August 17, which was 35 days after the satellite was launched on July 14.

Meanwhile, the Propulsion Module, whose main function was to carry the Lander Module from launch vehicle injection to lander separation orbit, will continue its journey in the current orbit for months/years, the space agency said.

Apart from this, the Propulsion Module also has one scientific payload as a value addition. The SHAPE (Spectro-polarimetry of Habitable Planet Earth) payload onboard it, whose future discoveries of smaller planets in reflected light would allow us to probe into a variety of Exo-planets which would qualify for habitability (or for the presence of life).

Post its launch on July 14, Chandrayaan-3 entered into the lunar orbit on August 5, following which orbit reduction manoeuvres were carried out on the satellite on August 6, 9, 14 and 16, ahead of the separation of both its modules on August 17, in the run-up to the landing on August 23.

Earlier, over five moves in the three weeks since the July 14 launch, ISRO had lifted the Chandrayaan-3 spacecraft into orbits farther and farther away from the Earth.

Then, on August 1 in a key manoeuvre — a slingshot move — the spacecraft was sent successfully towards the Moon from Earth’s orbit. Following this trans-lunar injection, the Chandrayaan-3 spacecraft escaped from orbiting the Earth and began following a path that would take it to the vicinity of the moon. 


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Quantum Breakthrough: CSIRO Uses 5-Qubit Model to Enhance Chip Design

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Quantum Breakthrough: CSIRO Uses 5-Qubit Model to Enhance Chip Design

Researchers at Australia’s CSIRO have achieved a world-first demonstration of quantum machine learning in semiconductor fabrication. The quantum-enhanced model outperformed conventional AI methods and could reshape how microchips are designed. The team focused on modeling a crucial—but hard to predict—property called “Ohmic contact” resistance, which measures how easily current flows where metal meets a semiconductor.

They analysed 159 experimental samples from advanced gallium nitride (GaN) transistors (known for high power/high-frequency performance). By combining a quantum processing layer with a final classical regression step, the model extracted subtle patterns that traditional approaches had missed.

Tackling a difficult design problem

According to the study, the CSIRO researchers first encoded many fabrication variables (like gas mixtures and annealing times) per device and used principal component analysis (PCA) to shrink 37 parameters down to the five most important ones. Professor Muhammad Usman – who led the study – explains they did this because “the quantum computers that we currently have very limited capabilities”.

Classical machine learning, by contrast, can struggle when data are scarce or relationships are nonlinear. By focusing on these key variables, the team made the problem manageable for today’s quantum hardware.

A quantum kernel approach

To model the data, the team built a custom Quantum Kernel-Aligned Regressor (QKAR) architecture. Each sample’s five key parameters were mapped into a five-qubit quantum state (using a Pauli-Z feature map), enabling a quantum kernel layer to capture complex correlations.

The output of this quantum layer was then fed into a standard learning algorithm that identified which manufacturing parameters mattered most. As Usman says, this combined quantum–classical model pinpoints which fabrication steps to tune for optimal device performance.

In tests, the QKAR model beat seven top classical algorithms on the same task. It required only five qubits, making it feasible on today’s quantum machines. CSIRO’s Dr. Zeheng Wang notes that the quantum method found patterns classical models might miss in high-dimensional, small-data problems.

To validate the approach, the team fabricated new GaN devices using the model’s guidance; these chips showed improved performance. This confirmed that the quantum-assisted design generalized beyond its training data.

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Metamaterial Breaks Thermal Symmetry, Enables One-Way Heat Emission

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Metamaterial Breaks Thermal Symmetry, Enables One-Way Heat Emission

Researchers have found that a metamaterial, a stack of InGaAs semiconductor layers, can emit significantly more mid-infrared radiation than it absorbs. When this sample was heated (~540 K) in a 5-tesla magnetic field, it exhibited a record nonreciprocity of 0.43 (about twice the previous best). In other words, it strongly violates Kirchhoff’s law and forces heat to flow one way. This demonstration of strong nonreciprocal thermal emission could enable devices like one-way thermal diodes and improve technologies like solar thermophotovoltaics and heat management.

According to the published study, the new device is made from five ultra-thin layers of a semiconductor called indium gallium arsenide, each 440 nanometers thick. The layers were gradually doped with more electrons as they went deeper and were placed on a silicon base. The researchers then heated the material to about 512°F and applied a strong magnetic field of 5 teslas. Under these conditions, the material emitted 43% more infrared light in one direction than it absorbed—a strong sign of nonreciprocity. This effect was about twice as strong as in earlier studies and worked across many angles and infrared wavelengths (13 to 23 microns).

By providing a one-way flow of heat, the metamaterial would serve as a thermal transistor or diode. It could enhance solar thermophotovoltaics by sending waste heat to energy-harvesting cells and aid in controlling heat in sensing and electronics. It has potential implications for energy harvesting, thermal control, and new heat devices

Challenging Thermal Symmetry

Kirchhoff’s law of thermal radiation (1860) states that at thermal equilibrium, a material’s emissivity equals its absorptivity at each wavelength and angle. Practically, this reciprocity means a surface that strongly emits infrared will absorb it equally well.

Breaking this symmetry requires violating time-reversal symmetry, such as by applying a magnetic field to a magneto-optical material. For example, a 2023 study showed that a single layer of indium arsenide (InAs) in a ~1 T magnetic field could produce nonreciprocal thermal emission. However, that effect was extremely weak and worked only at specific wavelengths and angles. Till now, magneto-optical designs have achieved only tiny emission–absorption imbalances under very restrictive conditions. The new achievement demonstrates that man-made materials can produce one-way thermal emitters.

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NASA TEMPO Satellite to Continue Tracking Pollution Hourly from Space Until 2026

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NASA TEMPO Satellite to Continue Tracking Pollution Hourly from Space Until 2026

The tropospheric mission of NASA was launched in 2023 to monitor pollution. It was abbreviated as TEMPO and has revolutionised the scientists’ observation of the air quality from space. It was located around 22,000 miles above the Earth, and it uses a spectrometer to collect daytime air quality data on an hourly basis over North America. It covers small areas within a few square miles and significantly advances technologies, offering only one-time readings per day. This mission was successful within 20 months at its prime phase from June 19, 2025, and is now extended till September 2026 because of the exceptional quality of the data.

TEMPO Tracks the Air Quality

As per NASA, TEMPO keeps a track of the pollutants such as nitrogen oxides, formaldehyde, and ozone in the troposphere, which is the lowest atmospheric layer. This layer gets triggered by the power plants, vehicle emissions, dust, smog, and wildfire smoke. It gives hourly data rather than once a day, said Laura Judd, a researcher at NASA. Through this, we get to know about the emissions change over time. Further, how to monitor smog in the city or wildfire smoke. Such a real-life incident helps astronomers understand the evolution of air pollution in detail.

The major milestone during this mission was to get sub-three-hour data, which allows quicker air quality alerts. This enhances the decision-making and helps the first responders, said the lead data scientist at NASA’s Atmospheric Science Data Centre, Hazem Mahmoud. With over 800 users, TEMPO has passed two petabytes of data downloads in a year. It proves the immense value of the health researchers and air quality forecasters.

NASA’s Collaboration with NOAA and SAO

NASA worked together with NOAA and the Smithsonian Astrophysical Observatory, the former producing the aerosol products for distinguishing smoke from dust and analysing the concentration. As per Xiong Liu, the principal investigator, these datasets enhance the forecast of pollution, improve the models, and support public alerts at the time of peak emissions.

NASA’s Earth Venture Instrument program is running the TEMPO mission and a global constellation of air monitors, along with GEMS of South Korea and Sentinel-4 of ESA. The formal mission review this and evaluate the progress, inform future space-based air quality efforts, and be helpful in refining the goals.

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