Rohit Ramachandran

Emailrohitrrrutgersedu

Research activity per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Rohit Ramachandran is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

1 Finished

CAREER: MULTI-SCALE MODELING AND ANALYSIS OF REACTIVE GRANULATION PROCESSES
Ramachandran, R.
National Science Foundation (National Science Foundation (NSF))
1/1/14 → 12/31/18
Project: Research project

3161 Citations
35 h-Index
111 Article
11 Chapter
11 Conference contribution
3 Review article
More
- 2 Conference article
- 1 Paper

A Population Balance Methodology Incorporating Semi-Mechanistic Residence Time Metrics for Twin Screw Granulation
Muddu, S. V. & Ramachandran, R., Feb 2022, In: Processes. 10, 2, 292.
Research output: Contribution to journal › Article › peer-review

Open Access
Prediction of entire tablet formulations from pure powder components’ spectra via a two-step non-linear optimization methodology
Baranwal, Y., Román-Ospino, A. D., Li, J., Razavi, S. M., Muzzio, F. J. & Ramachandran, R., Mar 5 2022, In: International Journal of Pharmaceutics. 615, 121472.
Research output: Contribution to journal › Article › peer-review
Switching from batch to continuous granulation: A case study of metoprolol succinate ER tablets
Kotamarthy, L., Feng, X., Alayoubi, A., Kumar Bolla, P., Ramachandran, R., Ashraf, M., O'Connor, T. & Zidan, A., Apr 5 2022, In: International Journal of Pharmaceutics. 617, 121598.
Research output: Contribution to journal › Article › peer-review
A compartment based population balance model for the prediction of steady and induction granule growth behavior in high shear wet granulation
Muthancheri, I., Chaturbedi, A., Bétard, A. & Ramachandran, R., Jun 2021, In: Advanced Powder Technology. 32, 6, p. 2085-2096 12 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
A hybrid model to predict formulation dependent granule growth in a bi-component wet granulation process
Muthancheri, I. & Ramachandran, R., Dec 2021, In: Pharmaceutics. 13, 12, 2063.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations

Rohit Ramachandran

Fingerprint

Network

Dive into details

CAREER: MULTI-SCALE MODELING AND ANALYSIS OF REACTIVE GRANULATION PROCESSES

A Population Balance Methodology Incorporating Semi-Mechanistic Residence Time Metrics for Twin Screw Granulation

Prediction of entire tablet formulations from pure powder components’ spectra via a two-step non-linear optimization methodology

Switching from batch to continuous granulation: A case study of metoprolol succinate ER tablets

A compartment based population balance model for the prediction of steady and induction granule growth behavior in high shear wet granulation

A hybrid model to predict formulation dependent granule growth in a bi-component wet granulation process

Rohit Ramachandran

Fingerprint

Network

Projects

CAREER: MULTI-SCALE MODELING AND ANALYSIS OF REACTIVE GRANULATION PROCESSES

Research output

A Population Balance Methodology Incorporating Semi-Mechanistic Residence Time Metrics for Twin Screw Granulation

Prediction of entire tablet formulations from pure powder components’ spectra via a two-step non-linear optimization methodology

Switching from batch to continuous granulation: A case study of metoprolol succinate ER tablets

A compartment based population balance model for the prediction of steady and induction granule growth behavior in high shear wet granulation

A hybrid model to predict formulation dependent granule growth in a bi-component wet granulation process