Recommended PC for the material development software "Materials Studio"
Recommended PC for the material development simulation/modeling software "Materials Studio"
What is Materials Studio? "Materials Studio" is an integrated software suite for materials science that enables various modeling and simulations, including quantum chemistry, molecular dynamics, and crystal structure analysis. It is utilized in diverse fields such as pharmaceuticals, chemistry, battery materials, polymers, and semiconductors. "A high-end configuration capable of processing large-scale simulations quickly, stably, and safely" In research and development using Materials Studio, this configuration meets high standards for computational performance, reliability, and operational stability. It is particularly suitable for companies and research institutions that require resilience under the demands of long-term projects. - Researchers who frequently conduct large-scale materials simulations (such as CASTEP, DMol, etc.) - Tasks that require high memory and multi-threaded performance, such as molecular dynamics and periodic systems - Industrial applications and collaborative research projects that demand stability and reliability
basic information
Recommended Model for Materials Studio Use 【CPU】Intel Xeon w7-3545 Point: Materials Studio can take advantage of thread parallel performance, so this CPU, which has a good balance of core count and clock speed, is highly compatible. 【Memory】256GB DDR5 ECC Point: In Materials Studio, memory usage increases dramatically in proportion to the size of the calculations, so 256GB can cover many research themes. 【GPU】NVIDIA RTX 2000 Ada Point: While Materials Studio itself does not support GPU computing, the GPU memory capacity and driver stability are effective for rendering and visualization tasks. 16GB is sufficient even for rendering large structural models.
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Materials Studio is an integrated simulation platform equipped with a variety of functions necessary for materials design and molecular design, including first-principles calculations (DFT), molecular dynamics (MD), structural optimization, adsorption simulations, and chemical reaction analysis.