Using computer simulations, MIT chemists have discovered how nuclear bodies called nucleoli interact with chromosomes in the nucleus, and how those interactions help the nucleoli exist as stable droplets within the nucleus.
Lubricant has been widely applied to reduce wear and friction between the contact surfaces when they are in relative motion. In the current study, a nonequilibrium molecular dynamics (NEMD) simulation was specifically established to conduct a comprehensive investigation on the dynamic contact between two iron surfaces in a boundary friction system considering the mixed C4-alkane and nanoparticles as lubricant. The main research objective was to explore the effects of fluid and nanoparticles addition on the surface contact and friction force. It was found that nano-particles acted like ball bearings between the contact surfaces, leading to a change of sliding friction mode to rolling friction mode. Under normal loads, plastic deformation occurred at the top surface because nanoparticles were mainly supporting the normal load. By increasing the number of C4-alkane molecules between two contact surfaces, the contact condition has been changed from partial to full lubrication. In addition,
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PharmCADD, a Busan, South Korea-based Artificial Intelligence (AI) and Physics-based drug discovery company, raised USD 16m in Series B funding.
The round, which brought total funding raised to date to USD 22m, was led by strategic investors Huons, Samyang Holdings and SD BIOSENSOR and financial investors KTB Network, Daily Partners, DSC Investment, KDB Capital, Maple Investment and KB Securities.
The company intends to use the funds to launch the U.S. and India-based branches, to advance its AI & Physics-based drug discovery platform technology, Pharmulator™, to expand R&D manpower, and conduct preclinical study of internal pipelines.
Led by Mr. Taehyung Kwon, CEO, and Dr. Sangwook Wu, CTO, PharmCADD leverages an AI & Physics-based drug discovery platform technology, Pharmulator™, which integrates five core modules: (1) Protein 3D Structure Prediction (2) Molecular Dynamics Simulation (3) Quantum Calculation (4) Toxicity Prediction and (5) AI Drug Generation, to generate pot
Abstract
In the present study, a group of microcapsule-based smart coatings has been investigated to decrease the corrosion rate in oil and gas transmission lines. The microcapsules are made of epoxy resin and self-healing materials such as oil, which acts as a repairing agent. In this study, the parameters affecting the coating performance such as agitation rate in the micro capsulation process, microcapsule size, and percentage of microcapsule used in the coating structure have been investigated and optimized. Also, other properties of the smart coating, such as the ability to protect against corrosion and adhesion of the coating to the substrate, are examined by Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD) analysis, and pull-off test. The use of microcapsules indicates that as the microcapsules become smaller, the corrosion resistance, as well as the adhesion of the coating to the substrate, is improved. Also, the use of microcapsules in the structure improves the