Samsung

About: Samsung is a company organization based out in Seoul, South Korea. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134067 authors who have published 163691 publications receiving 2057505 citations. The organization is also known as: Samsung Group & Samsung chaebol.

Shower head of a wafer treatment apparatus having a gap controller

Abstract: A shower head for adjusting distribution of a reactant gas in a process region of a semiconductor manufacturing reaction chamber, wherein a top plate has a gas port for introducing the reactant gas into the reaction chamber; a face plate, having through holes, disposed opposite the process region; a first baffle plate, having through holes, disposed between the top plate and the face plate and capable of moving up or down, wherein the first baffle plate has a top surface that defines a first gap for forming a first lateral flow passage; a second baffle plate, having through holes, disposed between the first baffle plate and the face plate and capable of moving up or down, wherein the second baffle plate has a top surface that defines a second gap for forming a second lateral flow passage; and a gap controller for determining widths of the first and second gaps.

High‐Resolution Printing of 3D Structures Using an Electrohydrodynamic Inkjet with Multiple Functional Inks

Abstract: Electrohydrodynamic-inkjet-printed high-resolution complex 3D structures with multiple functional inks are demonstrated. Printed 3D structures can have a variety of fine patterns, such as vertical or helix-shaped pillars and straight or rounded walls, with high aspect ratios (greater than ≈50) and narrow diameters (≈0.7 μm). Furthermore, the formation of freestanding, bridge-like Ag wire structures on plastic substrates suggests substantial potentials as high-precision, flexible 3D interconnects.

Method and apparatus for transmitting wireless power

Abstract: A method and apparatus are provided for transmitting wireless power in a wireless power network managed by a wireless power transmitter. The method includes transmitting first charging power to a first wireless power receiver; detecting a second wireless power receiver; and transmitting second charging power to the second wireless power receiver.

Optimal Demand Response Using Device-Based Reinforcement Learning

Abstract: Demand response (DR) for residential and small commercial buildings is estimated to account for as much as 65% of the total energy savings potential of DR, and previous work shows that a fully automated energy management system (EMS) is a necessary prerequisite to DR in these areas. In this paper, we propose a novel EMS formulation for DR problems in these sectors. Specifically, we formulate a fully automated EMS’s rescheduling problem as a reinforcement learning (RL) problem, and argue that this RL problem can be approximately solved by decomposing it over device clusters. Compared with existing formulations, our new formulation does not require explicitly modeling the user’s dissatisfaction on job rescheduling, enables the EMS to self-initiate jobs, allows the user to initiate more flexible requests, and has a computational complexity linear in the number of device clusters. We also demonstrate the simulation results of applying Q-learning, one of the most popular and classical RL algorithms, to a representative example.