The Artificial and Machine learning (AI & ML) Unit in CSIR-NIIST with a focus to build a strong predictive analytics team focusing on providing cutting-edge and tailored AI/ML solutions to the stakeholders. Artificial intelligence research aims at building intelligent algorithms/systems that learns from real data to form predictive models that can make predictions and decisions.
Photosciences and Photonics Section of the Chemical Sciences and Technology Division has proven expertise in the area of fluorescent molecules and materials. The current program is an effort to channelize this multidisciplinary expertise into developing useful products for anti-counterfeiting and security printing applications.
Developed Aluminum alloys and components for space (mounting frames), defence (piston) and automotive application
Established Pilot Scale Squeeze Casting facility for High Strength Aluminum alloy components (340 tones)
Developed Software for Casting Design and Simulation (licensed to more than 185 companies)
Developed High Temperature Magnesium alloys for automotive and aerospace applications.
Summary of Activities
Design of materials for printed electronics
High temperature ceramics and nanomaterials for functional coatings
Catalysts for advanced oxidation process
Biodegradable polylactic acid and coir composites
Doped TiO2 crystals for spintronics and magneto-optical applications
Angle-dependent color changing colloidal photonic crystal arrays
Donor-acceptor charge transfer stacks using supramolecular block copolymers
Graphene based membranes for desalination
The reversible shift of emission observed in fluorescent molecular gelators exploited for the preparation of a composite polymer film useful for erasable thermal imaging and secret documentation.
Novel pi-conjugate materials developed and investigated the role of molecular packing on solid-state optical properties and imaging applications.
Harnessing the natural wealth (plant/herbal) of the region to obtain novel biologically active compounds or leads for drug synthesis, exploring traditional systems of medicine including Ayurveda, Siddha and tribal medicine for lead structures and correlating/corroborating this wealth of knowledge with modern diagnostic chemical and biological testing methods.
