Machine learning has proven to be a powerful technique during the past decades. Artificial
neural network (ANN), as one of the most popular machine learning algorithms, has been …

▪ Abstract Atomistic aspects of dynamic fracture in a variety of brittle crystalline, amorphous,
nanophase, and nanocomposite materials are reviewed. Molecular dynamics (MD) …

Chemical demulsification is the most commonly used demulsification method for the
separation of oil–water emulsions (W/O) in petroleum industry. Previous experiments …

In the 1990s, nanoparticles and quantum dots began to be used in optical, electronic, and
biological applications. Now they are being studied for use in solid-state quantum …

实验观测, 理论研究以及数值模拟是包括流体力学在内很多学科的基本研究范式. 21 世纪以来,
大数据驱动下的人工智能成为引领新一轮科技革命和产业变革的重要驱动力 …

The advancement of nanomedicine and the increasing applications of nanoparticles in
consumer products have led to administered biological exposure and unintentional …

We have modeled the dynamics of a 3-D system consisting of red blood cells (RBCs),
plasma and capillary walls using a discrete-particle approach. The blood cells and capillary …

We have implemented parallel algorithms for density-functional-theory (DFT) based
electronic-structure calculations. These include a plane-wave based algorithm, a real-space …

Atomistic computer-simulation evidences are presented for the possible existence of one-
dimensional silicon nanostructures: the square, pentagonal, and hexagonal single-walled …

The seawater desalination through porous graphene membrane is considered as promising
candidate technology for water purification, but the desalination mechanism is seldom …