Adversarial attacks on deep learning models have compromised their performance considerably. As remedies, a number of defense methods were proposed, which however, been circumvented by newer and more sophisticated attacking strategies. In the midst this ensuing arms race, problem robustness against adversarial still remains challenging task. This paper proposes novel, simple yet effective strat...

– Dissipative particle dynamics (DPD) and multi-particle collision (MPC) dynamics are powerful tools to study mesoscale hydrodynamic phenomena accompanied by thermal fluctuations. To understand the advantages of these types of mesoscale simulation techniques in more detail, we propose new two methods, which are intermediate between DPD and MPC — DPD with a multibody thermostat (DPD-MT), and MPC...

Medicinal chemistry depends on many other disciplines ranging from organic chemistry andpharmacology to computational chemistry. Typically medicinal chemists use the moststraightforward ways to prepare compounds. The validation of any design project comes from thebiological testing.Studies of the binding site of vinblastine by a single cross—linking experiment identified it asbeing between resi...

In this work, we combine our earlier proposed empirical potential based quasi-continuum theory, (EQT) [A. V. Raghunathan, J. H. Park, and N. R. Aluru, J. Chem. Phys. 127, 174701 (2007)], which is a coarse-grained multiscale framework to predict the static structure of confined fluids, with a phenomenological Langevin equation to simulate the dynamics of confined fluids in thermal equilibrium. A...