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In this paper, we employ a combination of all-atom-MD-machine-learning approach to quantify water-water hydrogen bonding inside anionic polyelectrolyte brush layer with different charge fractions. This is Arka’s 1st paper, Tanmay’s 3rd paper, Raashiq’s 4th paper, Turash’s 13th paper from the group.

In this paper (1st acceptance of 2024), we employ all-atom MD simulations to probe the effect of the brush sizes and the number of side-chain monomers on the properties of uncharged bottlebrush polymers (BBPs) and BBP-supported water molecules. This is Tanmay’s 2nd paper and Raashiq’s 3rd paper from the group. Congrats!!!

Prof. Das delivers an invited talk, titled “Soft and Active Interfaces: From Polymer-Grafted Nanochannels for Enhanced Liquid Flowsto Self-Assembly via Active Drops” at IIT Kharagpur

In this paper, we employ all-atom MD simulations for probing the water and ion behavior inside cationic brush layer. This is Raashiq’s 2nd paper, Tanmay’s 1st paper, and Arka’s 1st paper from the group. Congratulations to All !!!!

Included in the Stanford University list of world’s top 2% scientists based on the citations for the year 2022 [The rank is 63,032 (with self-citations) and 68,951 (without self-citations). The rank is 878 among 100,804 researchers in the sub-field of Chemical Physics.

In this invited article, we provide a Perspective of the reliability of Lab-on-a-Chip Technologies for Wearable Electronics. This is Swarup’s 5th paper from the group. Congrats!!!

The funding is a collaborative effort with a NASA team of scientists. We shall be 3D printing a specialized kind of optical instrument that is extensively used by the Astrophysicists

The grant titled “Collaborative Research: Very High Heat-flux Cooling through Stable Energy-Efficient Macro-scale Partial Flow-boiling Using Microstructured Surfaces and Ultrasonics” has received funding from NSF. This is a 3-year project and is in collaboration with Prof. Amitabh Narain of Michigan Technological University.

Two new students, Subad and Shathi, have joined SMIEL as Ph.D. students in Fall 2023. Welcome to the group !!!

In this paper, we study the temperature-humidity sensing and life prediction modeling of aerosol jet printed electronic components. This is Beihan’s 9th paper from the group.