S. Mukhopadhyay

发表

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training

Anima Anandkumar, K. Sastry, Zong-Yi Li, 2022, ArXiv.

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design

Anima Anandkumar, K. Sastry, Zong-Yi Li, 2022, ArXiv.

Generic lithography modeling with dual-band optics-inspired neural networks

Anima Anandkumar, K. Sastry, M. Kilgard, 2022, DAC.

Influence of heat release and turbulence on scalar dissipation rate in autoigniting n-heptane/air mixtures

J. Abraham, S. Mukhopadhyay, 2012 .

Influence of compositional stratification on autoignition in n-heptane/air mixtures

J. Abraham, S. Mukhopadhyay, 2011 .

Simulations of liquid nanocylinder breakup with dissipative particle dynamics.

J. Abraham, H. Reddy, A Tiwari, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Influence of turbulence on autoignition in stratified mixtures under compression ignition engine conditions

J. Abraham, S. Mukhopadhyay, 2013 .

Evaluation of an unsteady flamelet progress variable model for autoignition and flame development in compositionally stratified mixtures

J. Abraham, S. Mukhopadhyay, 2012 .

A generalized mathematical description for comparative assessment of various horizontal polar tube geometries with regard to external film condensation in presence of non-condensable gases

S. K. Som, S. Chakraborty, S. Mukhopadhyay, 2007 .

Optimization of a CO2–C3H8 cascade system for refrigeration and heating

Jahar Sarkar, Souvik Bhattacharyya, J. Sarkar, 2005 .