Glass meets carbon

Glass meets carbon


Researchers at the Institute of Advanced Study in Science and Technology (IASST) have developed a novel method for directly synthesising carbon nanotubes on glass substrates at 750oC. This has wide-ranging impacts in the fields of energy research, biomedical and optoelectronics.

Carbon nanotubes (CNTs) find applications in fields such as rechargeable batteries, flexible electronics, aerospace, transparent electrodes, touch screens, supercapacitors and medicine. However, conventional methods of synthesising CNT require high temperatures reaching ~1000o C and metal catalysts such as Fe, Co and Ni. These catalysts pose biocompatibility concerns for potential biomedical applications. And removing these catalysts from CNTs raises up the cost, highlighting the need for cleaner, more sustainable methods of CNT synthesis.

On that note, the IASST researchers have pioneered a novel method for directly synthesising CNTs on glass substrates at a temperature of 750°C. The experiment is performed using a Plasma Enhanced Chemical Vapour Deposition Technique (PECVD), where plasma is generated using a specially designed spiral-shaped fused hollow cathode source. This process circumvents the need for elevated temperatures and eliminates the need for a transition metal catalyst. Furthermore, this synthesis is executed under atmospheric pressure, adding commendable cost-effectiveness to its advantages compared to counterparts in the field.

Several factors, including the plasma characteristics, substrate’s composition, temperature and plasma pre-treatment significantly influence the CNT growth. Optimally, the pre-plasma treatment of the glass substrate at an elevated temperature enhances the surface area, exposing a more significant amount of its constituent elements directly to the surface. Of the elements within the glass, Sodium (Na) emerges as the primary catalyst for initiating CNT growth. It has also been observed that the Na present in the CNTs can be easily removed by washing the CNTs with deionised water.

The finding marks a significant stride towards addressing challenges in CNT synthesis and advancing their application in various fields, says a press release.

Here comes Syncubator

Dr Gajendra Singh and Dr Satyasheel Ramesh Pawar and Keshav Verma, a B.Tech Mechanical Engineering student of IIT Mandi have invented a ‘SynCubator’ — a neonatal incubator. The device has been selected for the prestigious ‘Stanford Biodesign Innovators Garage’ programme.

Designed as a multifunctional neonatal incubator, SynCubator offers a unique solution to the challenges faced in transporting and providing critical care to newborns. Unlike traditional incubators, the developed device doubles as both a standalone warmer and an incubator, adaptable to the specific needs of each infant.

According to a press release, the rugged aluminium frame ensures high portability, allowing transportation using the typical 4-wheelers, and it maintains temperature in the range of 35–38oC, maintains relative humidity between 50-70 per cent. It also grants access to all probes available in an adult ambulance and enables continuous video monitoring of the baby through an android or IOS app.

“Utilising a user-friendly mobile application, healthcare providers gain the ability to remotely monitor and adjust critical parameters such as temperature, humidity and oxygen concentration in real-time. Moreover, continuous video monitoring enables both medical professionals and parents to closely observe the newborns’ condition, irrespective of their physical location,” the release says.





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Boehringer’s Jardiance, now approved in India for chronic kidney disease, in adults

Boehringer’s Jardiance, now approved in India for chronic kidney disease, in adults


Boehringer Ingelheim’s (BI) Jardiance (empagliflozin) has now been approved by the Central Drugs Standard Control Organisation —India’s drug regulator — for the treatment of chronic kidney disease (CKD), as an additional indication.

The approval allows nephrologists and cardiologists to use Jardiance 10mg tablets for the treatment of CKD in eligible patients, the company said. The drug was originally approved for the treatment of Type 2 diabetes, and over the last few months, it has been getting approval in other countries as well, for CKD.

Announcing the approval, BI said, “The national regulatory authority of India, the Central Drugs Standard Control Organisation (CDSCO), has approved Jardiance (empagliflozin) 10mg tablets to reduce the risk of sustained decline in eGFR (only for patients with eGFR 30-90 ml/min/1.73m2), end-stage kidney disease, cardiovascular death and hospitalisation in adults with chronic kidney disease at risk of progression.”

Further, it added, Jardiance was not recommended for the treatment of CKD in patients with polycystic kidney disease or patients requiring or with a recent history of intravenous immunosuppressive therapy or greater than 45 mg of prednisone or equivalent for kidney disease.

“The approval has the potential to advance the standard of care for an estimated 33 million adults in India living with CKD and help relieve the burden on healthcare systems by reducing the risk of hospitalisations, as well as delaying progression to kidney failure, for people with CKD,” the company said.

“Chronic kidney disease is an important health issue and there is a significant unmet need for therapies that slow disease progression and improve outcomes,” said Gagandeep Singh Bedi, BI’s Managing Director, in a statement. Dr Shraddha Bhure, BI Medical Director added that CKD was a major health problem in India, arising from risk factors like diabetes, hypertension or cardiovascular disease, among others. “Patients with CKD progression are at increased risk of hospital admissions, cardiac events, kidney failure and death. Apart from the impact on health, a large proportion of patients with CKD also need to face catastrophic health expenditures,” she added.





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The importance of battery recycling in the circular economy

The importance of battery recycling in the circular economy


The demand for lithium-ion batteries is expected to increase exponentially in the coming years, mainly due to the rise of electric vehicles, electric bicycles, and other high-energy applications such as electronic gadgets. For instance, by 2020, there will be one billion electric cars on the road globally.

In addition, global lithium-ion battery demand is expected to increase from 500 gigawatt hours (GWh) in 2019 to 4 GWh by 2030, which amounts to $2 trillion worth of investment needed for sustainable recycling globally over five years (2019-2025).

Li-ion batteries

Lithium-ion batteries are rechargeable batteries that use lithium ions as the positive electrode. They have a high energy density, meaning that they can hold a large amount of energy in a small space. Because of this, lithium-ion batteries are used in many consumer devices and electric vehicles. Larger lithium-ion batteries are also used to store energy from solar panels and wind turbines.

The typical lifespan of lithium-ion batteries is around 2,000 cycles (or thousands of charge/discharge cycles). The maximum lifespan for all types of rechargeable cells is about 1 million cycles; however, repeated cycling can reduce their performance significantly over time.

The demand for lithium-ion batteries is expected to grow at a CAGR of 9.6 per cent from 2020 to 2025. However, there is a lack of supply of lithium-ion battery raw materials in the world, and hence there has been an increase in price over time due to the limited availability of these raw materials.

Significance of recycling

Recycling lithium-ion batteries is essential to reduce the environmental impact of battery waste and to recover valuable metals. The recycling process involves the recovery of metals such as cobalt, nickel, and lithium from spent batteries. These metals can then be used to manufacture new batteries, reducing the need for mining new raw materials.

Several recycling technologies are available, including pyrometallurgy, hydrometallurgy, and biometallurgy. Pyrometallurgy involves the use of high temperatures to melt the battery components, while hydrometallurgy uses chemical solutions to dissolve the metals. Biometallurgy involves the use of microorganisms to extract metals from batteries.

Sustainable recycling

Sustainable recycling of lithium-ion batteries is essential to address the increasing need for batteries and minimise the environmental consequences of battery waste. A novel recycling

A method known as the “Hybrid Hydrometallurgy Process” has been developed, utilizing water as a key component in the recycling of lithium-ion batteries. This process offers a carbon-negative alternative compared to traditional recycling and mining techniques.

Recycling in India

India is one of the largest markets for lithium-ion batteries in the world. However, the country lacks a comprehensive policy framework for battery recycling. The government of India has recently launched the National Programme on Advanced Chemistry Cell Battery Storage to promote research and development in advanced battery technologies and to establish a robust recycling ecosystem for lithium-ion batteries.

In conclusion, the demand for lithium-ion batteries is expected to increase exponentially in the coming years, and sustainable recycling of lithium-ion batteries is crucial to meet this demand and reduce the environmental impact of battery waste. Recycling lithium-ion batteries can recover valuable metals and reduce the need for mining new raw materials. Governments and industries must invest in sustainable recycling technologies to ensure a circular economy for lithium-ion batteries.

The author is the co-founder and CTO of MiniMines Cleantech Solutions





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Ask QX, an Indian AI for the world

Ask QX, an Indian AI for the world


QX Lab AI launched the world’s first node-based, hybrid Gen AI platform ‘Ask QX’ in 12 Indian and over 100 global languages on February 2, 2024, in Dubai. Businessline spoke to the co-founders of QX Lab AI just before the launch to get an insight into an Indian foray in generative artificial intelligence (Gen AI) with some unique characteristics. Participating in the discussion were Tilakraj Parmar (CEO), Arjun Prasad (Chief Strategy Officer), and Tathagat Prakash (Chief Scientist). Excerpts:

While there has been a great deal of noise around Gen AI in the last 12 months following OpenAI’s launch of ChatGPT, you have come out of the blue. Can you tell us about your journey and the product.

Tilakraj Parmar: We have been working on the product for nearly eight years now. We are one of the first to build a product on a hybrid, node-based architecture. Our product is about 30 per cent GPT-based and the rest is a unique blend.

We are launching with 100+ of the planned 300 global languages and 12 Indian languages. This involved a significant effort to train and tune the programme just as the architecture and model-building.

Arjun Prasad: We are 3 Indian founders, bootstrapped and working for eight years on tech and then launching only when we were ready for the customer. Our strategy is to go for the B2C market and empower everyone with the power of AI.

Tilakraj: We have trained around 372 billion parameters which is roughly 6 trillion tokens — one token is roughly 750 words. Currently we are in the beta phase of web version that was launched in January.

We have almost 8 million users now, which is a big number for us because we were not expecting this kind of a response. We have had somewhere around 60 million prompts — questions that people ask on the platform.

So the goal is to not just focus on the English language. This is where we differ from the rest of the crowd. We want to get into the regional language market where we want people to think and write and create in their own language.

Do you allow only text-based interaction or will we have voice input as well? Also, new developments from OpenAI allows for the creation of one’s own GPT with specific inputs like spreadsheets and other structured documents. Does QX allow that?

Tilakraj: On the web, we don’t have voice input yet, but on the app that we’ve just launched, it is present. In our voice input feature you can ask questions, but the answer will come in text as of now. Voice response will be coming soon.

Arjun: The multimodal product is in alpha phase. It’s in our roadmap and we will release it at some point in the year. We are one of the very few companies that actually believe in delivering the tech-first and then talking about it. It’s in alpha phase right now and we want it to be fine-tuned to make sure it’s a beautiful product.

We will soon have the text-to-image, text-to-voice, voice-to-text options. We are also working on ensuring that the usability — our UI, UX — is user-friendly.

Given that a big promise — and I am sure, a big challenge — is the Indian languages’ capabilities of the system, can you tell us how you went about building it?

Tilakraj: The team’s Indian origin had a huge impact on the platform’s language features, particularly in terms of cultural understanding and linguistic diversity. We decided not to work with translations but with original material in the given language. While it was a challenge to find so much digitised material in Indian languages — other than the top 6 or 7 languages. It wasn’t just literature that we needed. We need current, on-going material from all areas as well as in languages.

Tathagat Prakash: To address this challenge, we looked towards synthetic data. Over a period of time this synthetic data will be replaced by actual data. But the synthetic data would have done its job — of not making the user feel like they are dealing with a translation.

Challenges include diverse structures, scripts, phonetics, scarcity of quality datasets, capturing contextual nuances, integrating cultural context, resource constraints for less common languages, orthographic disambiguation, speech recognition challenges, semantic ambiguities and the need for efficient algorithms in various technical environments.

Some recent developments suggest that guardrails around AI are not very strong. Have you done anything about this concern in QX?

Tilakraj: We use contextual inferencing and we have also put “ethical dilemma” in it, where if somebody puts in a query about some famous movie stars or great personalities from India or anywhere one else in the world, the program will stop. “Is it necessary to give that answer?” These are few things that we’ve worked very hard on. Before launching the product, we wanted to be very sure about contextual inferencing and the ethical dilemmas it brings in so that you know the product doesn’t affect the end user adversely.

Published on February 5, 2024





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The movement towards lightweight materials

The movement towards lightweight materials


If a car is made 100 kg lighter, its fuel consumption decreases by about half a litre for every 100 km, according to the Fraunhofer magazine. Multiply this by the number of cars that ply on the roads, you will see that a little weight reduction makes an enormous difference. The magazine goes on to point out that if the weight of an Airbus 320 is reduced by 100 kg, it can save 10,000 litres of fuel per year.

Making things lighter is the newest tool available to mankind for fighting climate change.

Though lightweight materials are useful in all their applications, their utility is most evident in mobility. For decades, researchers have been toying with magnesium alloys for designing light-weighting automobiles, but there have been problems. According to a report, the average magnesium content in US-made cars has remained unchanged at about 5 kg for two decades. So, there is a need to move over to something else.

Researchers are therefore turning to composites, mainly carbon composites. Lightweight composite materials (LWCM) have been used in racing cars for a while — the task now is to mainstream it. Composites are an artificial combination of two different materials. The base material is called the matrix and the one bound to it is called filler. By toying with different combinations of matrices and fillers, researchers can come up with something good. But this is an arduous task. After developing each material, the scientists must test it for its ability to take different forms of stress, durability under various temperatures and other qualities such as water absorption.

This is where modern science is stepping in. Machine learning (ML) is helping fast-track material development. In a paper, researchers Nesrine Amor et al, of the Technical University of Liberec, Czech Republic, point to the growing use of computational intelligence in finding lightweight materials, especially composites. Testing the composites is also much faster and less expensive now. In the past, researchers would perform simulations to predict the material properties using ‘Finite Element Methods’— a time-consuming process. But in recent years, ‘computational intelligence’ (such as machine learning) has become the backbone of engineering. “ML methods work as excellent tools for LWCM due to their short development cycle, accurate prediction ability and strong data analysis. Nowadays, ML methods are widely used for the prediction of thermal and mechanical properties, dielectric constant and new materials design,” they say.

Scientists are finding success in bringing in lightweight materials into vehicles. Recently, the German Fraunhofer Institute announced that its applied polymer research scientists are working on a drive shaft made of fiber-reinforced plastic. Drive shafts transfer power from the gearbox to the wheels and must withstand high loads. Therefore, they have always been made of alloys of steel, aluminium or titanium. If the Fraunhofer scientists succeed, a drive shaft made of carbon fiber-reinforced plastic may become a reality. These drive shafts will be 60 per cent lighter than their metal counterparts but also have better mechanical properties.

Beyond mobility

The need for light-weighting materials goes beyond vehicles. For example, building materials could be made lighter and energy efficient. One research speaks of the immense potential that ‘lightweight concrete’ holds. The scientists investigated the merits of ‘lightweight expanded clay aggregate’ (LECA). They studied different levels of LECA mixed with conventional aggregates for making concrete and tested the lighter concrete for mechanical strength and water absorption. They found “10 per cent replacement” to be the “optimal percentage”. A cubic metre of this concrete weighs 1,821 kg, compared with 2,548 kg of conventional concrete.

But one could move away from concrete itself. Research is on for the use of alternative materials like bamboo, compressed earth blocks, fly ash bricks, and glass fiber–reinforced concrete.

“Lightweight construction is not just about making slight reductions in mass,” notes the Fraunhofer magazine. “This construction philosophy focuses on selecting materials, designing products… in a way that conserves materials and makes products lighter, while also improving functionality and safety at the same time,” it says.

In sum, lightweight materials are a new philosophy sweeping through the research world.





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A new device for cooling data centres 

A new device for cooling data centres 


India is fast becoming a data-centre hub. The Indian market, estimated at 700 MW, is expected to grow to 1.5 GW in the next 3-4 years. Data centres are big energy guzzlers. The International Energy Agency (IEA) estimates that in 2022, data centres around the world consumed 240-340 terawatt hour (TWh) of electricity, roughly 1-1.3 per cent of global final electricity demand.

Why do they need consume this much? Because energy is needed to cool the servers at the data centres. There are three ways of cooling the servers — room level, rack level and chip level. Of the three, chip-level is said to be the most energy efficient.

Chip-level cooling is done by phase-change materials (like ice) or by ‘heat pipes’. Most heat pipes feature a porous wick which moves the working fluid to the evaporator from the condenser. But the wicks are costly.

Then there are these heat pipes called thermosyphons. They simply siphon out the heat — a liquid moves through it, picking up heat from the hot regions and dumping the heat into the atmosphere. Thermosyphons are gravity-assisted wickless heat pipes that utilise gravitational force to transport the working fluid from the condenser section to the evaporator section.

A group of scientists led by Prof Pallab Sinha Mahapatra and Prof Arvind Pattamatta from the Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, have developed an ‘Integrated Flat Thermosyphon Heat Sink (IFTHS)’ with enhanced performance. The IFTHS has a condenser with integrated hollow fins, the inner surface of which is used for condensation and the outer surface is used for air-side convective cooling.

In their paper published in Applied Thermal Engineering, the researchers have said that a super-hydrophobic (water-repelling) condenser and a mini-channel used in the device gave superior cooling performance. “The lifespan of electronic components can be increased by 3.73–17.75 times and the room air cooling load can be reduced by 8.04–25.12 kJ/kg when the IFTHS configurations are used for cooling electronic chips in data centre servers instead of the baseline configuration. The novel IFTHS configurations developed in the present study can contribute to energy-efficient chip-level thermal management in energy-intensive data centers,” the paper noted.

The conventional air-cooled heat sinks used for cooling CPUs in rack servers can be replaced by the IFTHS without any additional modifications, it says.

Prof Marco Marengo, Professor of Thermal Sciences, from the Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy, has reviewed this work. In his comments, published in IIT-Madras Tech Talk, Prof Marengo noted that by using both inner and outer surfaces for condensation and air-side convective cooling, the IFTHS outperforms (the conventional) flat thermosyphon.

“This technology has the potential to enhance the cooling effectiveness of these systems in energy-intensive sectors and for data centres,” he says.





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