Zobrazeno 1 - 10
of 3 376
pro vyhledávání: '"Geometry optimization"'
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-11 (2024)
Abstract Cam-lobe radial-piston hydraulic motors are widely used as rotation driving units for various marine machinery owing to their ultrahigh output torque (more than 100 kN m). A multi-row cam roller bearing (MCRB) is the key component that direc
Externí odkaz:
https://doaj.org/article/e27fe767bde542e1aa2dec3970c5a948
Autor:
Gary W. Breton, Jazmine V. Ridlehoover
Publikováno v:
Organics, Vol 5, Iss 3, Pp 205-218 (2024)
Bridgehead alkenes are polycyclic molecules bearing at least one C=C bond that includes a bridgehead carbon atom. For small bicyclic systems, these bonds are highly strained due to geometric constraints placed on the sp2 hybridized carbon atoms. Thes
Externí odkaz:
https://doaj.org/article/8b5777ec1af4463ab49c0afcf6d1962b
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 11, Pp n/a-n/a (2024)
Magnetic field generators are a key component of Magnetic Particle Imaging (MPI) systems, and their power consumption is a major obstacle on the path to human‐sized scanners. Despite their importance, a focused discussion of these generators is rar
Externí odkaz:
https://doaj.org/article/2df3908a28054f8d8661d105a1712d48
Publikováno v:
Materials Genome Engineering Advances, Vol 2, Iss 3, Pp n/a-n/a (2024)
Abstract Machine‐learning interatomic potentials have revolutionized materials modeling at the atomic scale. Thanks to these, it is now indeed possible to perform simulations of ab initio quality over very large time and length scales. More recentl
Externí odkaz:
https://doaj.org/article/e0d90a29f08d4a2083493453f7f92bd3
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 51, Iss , Pp 101657- (2024)
The optimization of industrial products and processes has been, since the beginning of the third industrial revolution, a fundamental aspect of the design phase as it allows, together with the testing and validation phases, the improvement of the per
Externí odkaz:
https://doaj.org/article/cdb2eabf74a6483aa56d580084be7357
Publikováno v:
Fluids, Vol 9, Iss 6, p 131 (2024)
Vortices belong to the most important phenomena in fluid dynamics and play an essential role in many engineering applications. They can act detrimentally by harnessing the flow energy and reducing the efficiency of an aerodynamic device, whereas in o
Externí odkaz:
https://doaj.org/article/480798d68879446d8ecd3efe20d38d8a
Autor:
Sergio I. Suriano-Sánchez, Mario Ponce-Silva, Víctor H. Olivares-Peregrino, Susana E. De León-Aldaco
Publikováno v:
Eng, Vol 3, Iss 4, Pp 646-661 (2022)
Nowadays the efficient use of energy is a major issue in applications such as electric vehicles. However, there are some phenomena that affect electric vehicle performance. One of those phenomena is the torque ripple of electric motors, which interfe
Externí odkaz:
https://doaj.org/article/e8d4870b423e4bdba8a104415ff680a0
Autor:
Martin Breza
Publikováno v:
Molecules, Vol 29, Iss 6, p 1344 (2024)
The dimethylaminophenyl-substituted silver phthalocyanine [dmaphPcAg] can be used as a UV-vis photoinitiator for in situ preparation of a silver/polymer nanocomposite. To verify early steps of the supposed mechanism of radical polymerization, we perf
Externí odkaz:
https://doaj.org/article/85fe6c6fa213413f9b43f17e9108a5a5
Autor:
Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas Wolf Andreas Gebauer
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035038 (2024)
Molecular relaxation, finding the equilibrium state of a non-equilibrium structure, is an essential component of computational chemistry to understand reactivity. Classical force field (FF) methods often rely on insufficient local energy minimization
Externí odkaz:
https://doaj.org/article/95d2fa9ac5594e2fbe4924b650a872a5
Autor:
Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R Kitchin, Rachel C Kurchin, Zachary W Ulissi
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025018 (2024)
Although density functional theory (DFT) has aided in accelerating the discovery of new materials, such calculations are computationally expensive, especially for high-throughput efforts. This has prompted an explosion in exploration of machine learn
Externí odkaz:
https://doaj.org/article/20ecae75a8384f14a7101708909c445d