Tag Archives: (India) Centre for Nano Science and Engineering (CeNSE)

Relief from tooth sensitivity with magnetically guided nanobots

An August 11, 2025 Indian Institute of Science (IISc) press release (also on EurekAlert) by Shruti Sharma announces research into improving relief for people with tooth sensitivity, Note: A link has been removed,

Sensitive teeth need tough toothpaste, but technology can also help. Researchers at the Indian Institute of Science (IISc) in collaboration with deep-tech startup Theranautilus have now engineered CalBots – magnetic nanobots that can penetrate deep into dentinal tubules, which are tiny tunnels in teeth that lead to nerve endings. These CalBots can then form durable seals for worn enamel, offering lasting relief from sensitivity in just one application. The study is published in Advanced Science. 

The CalBots use a completely new class of bioceramic cement. While bioceramics are widely used in orthopaedics and dentistry for their mineralising properties, the team wanted a solution tailored for hypersensitivity – a formulation that could travel deeper and last longer. 

“We didn’t want to create a slightly better version of what’s already out there,” says Shanmukh Peddi, first author of the study and postdoctoral researcher at the Centre for Nano Science and Engineering (CeNSE), IISc, and co-founder of Theranautilus. “We wanted a technology that solves a real problem in a way that no one’s attempted before.”

Dental hypersensitivity affects nearly one in four people worldwide. It occurs when microscopic tubules in the dentine – the layer beneath the enamel –become exposed due to erosion or gum recession. These tiny tubules lead directly to nerve endings, which is why even a sip of cold water can cause a sudden, stabbing pain. Most current solutions, such as desensitising toothpastes, offer only surface-level relief and need to be reapplied regularly. 

CalBots, however, are different. These 400 nanometre-sized magnetic particles, loaded with a proprietary calcium silicate-based bioceramic formula, are guided by an external magnetic field deep into the exposed tubules. They can reach depths of up to 300-500 micrometers inside the tubules. Once there, the bots self-assemble into stable, cement-like plugs that block the tubules and recreate a durable seal that mimics the natural environment of the tooth.  

To test their innovation, the team used human teeth extracted for clinical reasons and created conditions where the dentine was exposed. On these samples, they applied CalBots under a magnetic field for 20 minutes, during which the bots sealed the dentinal tubules by forming deep, stable plugs – a result confirmed through high-resolution imaging. Encouraged by this, they progressed to animal trials in collaboration with researchers at IISc’s Center for Neuroscience. It involved giving mice a choice between cold and room temperature water. Healthy mice preferred both equally. But the mice with induced tooth sensitivity avoided the cold water completely. 

“After we treated the sensitive mice with our CalBot solution, they started drinking cold water again – the treatment worked like a charm. We saw 100% behavioural recovery. That was a big moment for us,” Peddi says.

The CalBots are composed entirely of materials classified as ‘Generally Recognised as Safe’ (GRAS), ensuring high biocompatibility. Toxicity tests on mice showed no adverse effects. “This is a compelling demonstration of what nanorobotics can achieve, and how they could significantly impact future healthcare,” says Ambarish Ghosh, Professor at CeNSE and one of the corresponding authors of the study. “We’re excited to see this work progress toward clinical use.” 

While the immediate goal is to relieve sensitivity, the implications of this work extend much further. “We’ve created a regenerative, active nanomaterial – a step towards the kind of ‘tiny mechanical surgeons’ Richard Feynman once envisioned,” says Debayan Dasgupta, former PhD student at CeNSE, co-founder of Theranautilus and one of the corresponding authors.

“This is something we’ve worked towards silently for years,” adds Peddi. “And the fact that we’ve done it here, in India, makes us very happy.” 


I don’t think this will show up at your dentist’s office next week but here’s a sneak peak,

Caption: Microscopic images of CalBots inside teeth. Credit: Shanmukh Peddi, Debayan Dasgupta

Here’s a link to and a citation for the paper,

Directed Self-Assembly of Magnetic Bioceramic Deep Inside Dentinal Tubules May Alleviate Dental Hypersensitivity by Shanmukh Peddi, Prajwal Hegde, Prannay Reddy, Anaxee Barman, Arnab Barik, Debayan Dasgupta, Ambarish Ghosh. Advanced Science Volume 12, Issue 39 October 20, 2025 e07664 DOI: https://doi.org/10.1002/advs.202507664 First published online: 17 July 2025

This paper is open access.

You can find the startup Theranautilus here

Huge leap forward in computing efficiency with Indian Institute of Science’s (IISc) neuromorphic (brainlike) platform

This is pretty thrilling news in a September 11, 2024 Indian Institute of Science (IISc) press release (also on EurekAlert), Note: A link has been removed,

In a landmark advancement, researchers at the Indian Institute of Science (IISc) have developed a brain-inspired analog computing platform capable of storing and processing data in an astonishing 16,500 conductance states within a molecular film. Published today in the journal Nature, this breakthrough represents a huge step forward over traditional digital computers in which data storage and processing are limited to just two states. 

Such a platform could potentially bring complex AI tasks, like training Large Language Models (LLMs), to personal devices like laptops and smartphones, thus taking us closer to democratising the development of AI tools. These developments are currently restricted to resource-heavy data centres, due to a lack of energy-efficient hardware. With silicon electronics nearing saturation, designing brain-inspired accelerators that can work alongside silicon chips to deliver faster, more efficient AI is also becoming crucial.

“Neuromorphic computing has had its fair share of unsolved challenges for over a decade,” explains Sreetosh Goswami, Assistant Professor at the Centre for Nano Science and Engineering (CeNSE), IISc, who led the research team. “With this discovery, we have almost nailed the perfect system – a rare feat.”

The fundamental operation underlying most AI algorithms is quite basic – matrix multiplication, a concept taught in high school maths. But in digital computers, these calculations hog a lot of energy. The platform developed by the IISc team drastically cuts down both the time and energy involved, making these calculations a lot faster and easier.

The molecular system at the heart of the platform was designed by Sreebrata Goswami, Visiting Professor at CeNSE. As molecules and ions wiggle and move within a material film, they create countless unique memory states, many of which have been inaccessible so far. Most digital devices are only able to access two states (high and low conductance), without being able to tap into the infinite number of intermediate states possible.

By using precisely timed voltage pulses, the IISc team found a way to effectively trace a much larger number of molecular movements, and map each of these to a distinct electrical signal, forming an extensive “molecular diary” of different states. “This project brought together the precision of electrical engineering with the creativity of chemistry, letting us control molecular kinetics very precisely inside an electronic circuit powered by nanosecond voltage pulses,” explains Sreebrata Goswami.

Tapping into these tiny molecular changes allowed the team to create a highly precise and efficient neuromorphic accelerator, which can store and process data within the same location, similar to the human brain. Such accelerators can be seamlessly integrated with silicon circuits to boost their performance and energy efficiency. 

A key challenge that the team faced was characterising the various conductance states, which proved impossible using existing equipment. The team designed a custom circuit board that could measure voltages as tiny as a millionth of a volt, to pinpoint these individual states with unprecedented accuracy.

The team also turned this scientific discovery into a technological feat. They were able to recreate NASA’s iconic “Pillars of Creation” image from the James Webb Space Telescope data – originally created by a supercomputer – using just a tabletop computer. They were also able to do this at a fraction of the time and energy that traditional computers would need.

The team includes several students and research fellows at IISc. Deepak Sharma performed the circuit and system design and electrical characterisation, Santi Prasad Rath handled synthesis and fabrication, Bidyabhusan Kundu tackled the mathematical modelling, and Harivignesh S crafted bio-inspired neuronal response behaviour. The team also collaborated with Stanley Williams [also known as R. Stanley Williams], Professor at Texas A&M University and Damien Thompson, Professor at the University of Limerick. 

The researchers believe that this breakthrough could be one of India’s biggest leaps in AI hardware, putting the country on the map of global technology innovation. Navakanta Bhat, Professor at CeNSE and an expert in silicon electronics led the circuit and system design in this project. “What stands out is how we have transformed complex physics and chemistry understanding into groundbreaking technology for AI hardware,” he explains. “In the context of the India Semiconductor Mission, this development could be a game-changer, revolutionising industrial, consumer and strategic applications. The national importance of such research cannot be overstated.” 

With support from the Ministry of Electronics and Information Technology, the IISc team is now focused on developing a fully indigenous integrated neuromorphic chip. “This is a completely home-grown effort, from materials to circuits and systems,” emphasises Sreetosh Goswami. “We are well on our way to translating this technology into a system-on-a-chip.”  

Caption: Using their AI accelerator, the team recreated NASA’s iconic “Pillars of Creation” image from the James Webb Space Telescope data on a simple tabletop computer – achieving this in a fraction of the time and energy required by traditional systems. Credit: CeNSE, IISc

Here’s a link to and a citation for the paper,

Linear symmetric self-selecting 14-bit kinetic molecular memristors by Deepak Sharma, Santi Prasad Rath, Bidyabhusan Kundu, Anil Korkmaz, Harivignesh S, Damien Thompson, Navakanta Bhat, Sreebrata Goswami, R. Stanley Williams & Sreetosh Goswami. Nature volume 633, pages 560–566 (2024) DOI: https://doi.org/10.1038/s41586-024-07902-2 Published online: 11 September 2024 Issue Date: 19 September 2024

This paper is behind a paywall.