Latest Research

Our department is at the forefront of addressing both fundamental and applied challenges through innovative research. Here are some highlights:

Advanced Computational Models Accelerate Antimicrobial Screening and Efficacy Analysis

Researchers at IISc and Unilever have created computational models of bacterial cell walls to better understand how antimicrobials interact with Gram-negative and Gram-positive bacteria, aiding in the rapid screening of potential antimicrobial...
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How crystals nucleate from dilute vapors and solutions?

Sudeep N Punnathanam's group has developed a new molecular theory of  crystal nucleation theory.
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Water flow on defective 2D materials

Ananth Govind Rajan's team reports how defects in hexagonal boron nitride (hBN) reduce water friction, except boron vacancies which increase it threefold, influencing the design of nanoscale devices.
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Understanding COVID19 vaccine effectiveness

IISc team develops a mathematical model that predicts how antibodies generated by COVID-19 vaccines confer protection against symptomatic infections.
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Dynamics of Fluid Flow in Soft-Walled Conduits

The instability and transition to turbulence in flows through compliant-walled conduits reveals unique destabilization mechanisms compared to rigid-walled channels, with significant implications for engineering and physiological applications.
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Barrier-Free Microfluidic Paper Analytical Devices

Bhushan Toley’s group developed a barrier-free design using a paper stacking strategy, enabling multiplex colorimetric detection without patterning barriers. This innovation could significantly simplify and scale up the fabrication of paper-based diagnostic...
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Enhanced water evaporation from Angstrom-scale nanoporous graphene

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Development of Dengue vaccine tailored to infections in India

Researchers from IISc and collaborators sequenced 119 full genomes of the four co-circulating dengue virus serotypes in India from clinical samples, revealing significant genomic diversity from 2012 to 2018.
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Predicting the structure of microbial communities

Prof. Narendra Dixit and his student Aamir Ansari developed a method called EPICS to efficiently predict microbial community compositions, revealing their crucial roles in health and environmental ecosystems.
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Paper diagnostics for anti-microbial resistance detection in urinary tract infections

Papyrus Diagnostics, a startup from the Department bags the first runners-up award at the national AMR idea challenge.
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