Grants

May 2022

May 12, 2022
Prof. Dutt has received a $382,260 research award from the National Science Foundation (NSF) REU program titled " Advanced Materials at Rutgers Engineering ".

April 2022

April 27, 2022
Dr. Ramachandran receives a $5,000 Core Facility Utilization grant toward his group’s work on high-resolution imaging to further develop mechanistic models of high shear granulation processes.
April 20, 2022
Prof. Neimark has received a $40,000 Rutgers Busch Biomedical award titled " Molecular Design of Biomimetic Lipid Membranes and Liposome".  The project aims at the development of the multiscale molecular simulation methods to study the physicochemical properties and stability of lipid membranes and their interactions with functional nanoparticles.  The period of the project is for 2 years. 
April 20, 2022
Prof. Neimark has received a $157,500 research award from Colgate-Palmolive titled " Computational Modeling of Xanthan Gum Solutions".  The project aims at developing coarse-grained dissipative particle dynamics simulation methods to study the effects of metal-complexation on the morphological and rheological properties of polysaccharide solutions. As a case-study example, we consider Xanthan gum (XG) solutions containing ZnCl2 that are widely used in food and personal, and health care products.
April 20, 2022
Prof. Neimark has received a $55,000 research award from the NJ ACTS Pilot project grant program titled " Development of Computational Models to Explore Interactions of Coronavirus Virions with Lung Surfactant Films".  Coronavirus (CoV) virions, such as SARS-CoV-2, are complex core-shell nanoparticles of spheroidal shape, bound by the lipid bilayer envelope of ~85 nm diameter decorated by a “crown” of 20 nm long Spike protein protrusions. The lung surfactant (LS) is the first line of defense in the lung against airborne nanoparticles, like CoV virions. LS affects the ability of CoV to penetrate and infect the respiratory system, and therefore, is a target of potential “surfactant” therapies to cure severe acute respiratory syndrome (SARS) caused by COVID-19.
April 20, 2022
Prof. Neimark has received a $359,999 research award from the National Science Foundation (NSF) titled "Interactions of Airbone Engineered Nanoparticles with Lung Surfactant Films".  This collaborative project, involving a synergistic combination of experimental and computational studies, seeks to study the effects of physicochemical and structural properties of engineered nanoparticles on interfacial flow behaviors and the stability of surfactant films.

March 2022

March 11, 2022
Prof. Neimark receives a $499,765 research award from the National Science Foundation (NSF) titled "Multiscale Modeling of Coronavirus Virions in the Respiratory System". This new NSF award will contribute into multifaceted Rutgers efforts in COVID-19 research. For the first time, the methods of nanoscale interfacial engineering will be applied to study interactions of coronavirus virions with lung surfactants that may inform ongoing clinical search for surfactant therapies.

February 2022

February 23, 2022
Profs. Fernando Muzzio, Ravendra Singh, and George Tsilomelekis receive a $4,198,914  research award from the United States Food and Drug Administration titled "Integrated toolbox for digital design, scale-up, control and optimization of advanced API manufacturing processes." The project duration is for 2 years and involves academic co-investigators from Purdue University and industrial collaborators from SRI International.
February 22, 2022
Profs. Fernando Muzzio and Ravendra Singh receive a $800,000 research award from the Defense Advanced Research Projects Agency (DARPA) titled "ProSyn-Agile Manufacturing of APIs for Rapid Response to Emerging Biological Threats and Pandemics. Flow-sheet model-based optimization, scale-up, and process control of a continuous flow reactor system".  This project is focused on manufacturing the COVID-19 drug substance (API).
February 22, 2022
Prof. Ramachandran and his group are working with Boehringer Ingelheim to advance the state of the art of predictive modeling in multi-component wet granulation processes. The ability to develop improved process models for complex particulate based processes have tremendous scientific and manufacturing impact. The $80K funding for 10 months will support a current PhD student to work on this project for this duration.

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