Using smartphone technology, researchers can now access Chemical Abstracts Services SciFinder
Chemical Abstracts Service (CAS) has introduced new enhancements to SciFinder, which will provide more synthetic pathways and improve productivity for researchers working in the chemical, pharmaceutical, biotechnology, and energy industries
Chemical Abstracts Service (CAS) has made its SciFinder research tool available over the web.
Chemical Abstracts Service and FIZ Karlsruhe have introduced a more powerful version of the STN AnaVist analysis and visualisation software. The newest version features the Derwent World Patents Index.
SciFinder 2007, from Chemical Abstracts Service (CAS) will make it easier for scientists to process records more conveniently, and to fine-tune their answer sets for chemistry-related literature, substances, and reactions.
Chemical Abstracts Service has introduced a number of enhancements in the CA and CAplus databases on STN, including additional content and features for more effective patent searching with IPC codes.
Chemical Abstracts Service (CAS) has introduced a number of enhancements in the CA and CAplus databases on STN, including additional content and features for more effective patent searching with IPC codes. IPC-related improvements in CA/CAplus databases include the implementation of all available IPC classifications in patents in the CA/CAplus databases from the Canadian, European, French, German, Japanese, Russian, UK, US and WIPO patent offices.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
