BENGALURU: In a significant advancement in the field of electronics, researchers from the Indian Institute of Science
(IISc) have developed molecular-scale devices that adapt their behavior to perform various computing functions. This
work aims to push the boundaries of electronics beyond conventional silicon-based systems, which have dominated the
industry for decades. The study integrates principles from chemistry, physics, and electrical engineering, resulting in
tiny electronic devices constructed from specially-designed molecules that can switch their roles based on electrical
The innovation addresses two longstanding challenges in the field: the need for smaller electronic devices and the
pursuit of neuromorphic computing, which seeks to replicate the learning processes of the human brain. Traditional
electronic systems rely on silicon, which has limits in miniaturization, while existing neuromorphic systems depend on
oxide materials that mimic learning through engineered processes rather than intrinsic material properties. The IISc
team's work suggests a potential resolution to these challenges through their newly designed molecular devices.
Under the guidance of Sreetosh Goswami, an assistant professor at IISc's Centre for Nano Science and Engineering
(CeNSE), the research team synthesized 17 variants of ruthenium-based molecular complexes. By modifying chemical ligands
and the surrounding ionic environment, they were able to influence electron movement within thin molecular films. This
manipulation resulted in devices that exhibited a spectrum of behaviors, from sharp digital switching to smooth analogue
responses, showcasing a remarkable range of electrical conductance.
It is important to note that while this adaptability is a significant finding, it does not mean that these devices are
ready for commercial use. The behavior of molecules in these devices can be complex and unpredictable, which has
historically complicated the reliable control of molecular electronics. Moreover, while the potential for these devices
to serve as memory units, logic gates, and artificial synapses is promising, practical applications are still in the
The implications of this research reach beyond immediate technological applications. The ability to create devices that
can mimic aspects of brain function might pave the way for more efficient computing systems that can learn and adapt in
real-time. However, researchers acknowledge that there remain limitations and unanswered questions, including the
stability of these devices over time and how well they can function in real-world environments.
In summary, the IISc's work represents a noteworthy advancement in molecular electronics and neuromorphic computing.
While the findings present exciting possibilities, the scientific community must approach the practical applications
with caution, as further research is necessary to address the challenges of stability, predictability, and real-world
usability. This research not only contributes to the ongoing quest for smaller, more efficient electronic devices but
also opens new avenues for exploring the intersection of chemistry and computing, which may shape the future of