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The FAIR data guidelines are central to effective data management and the ability to leverage institutional knowledge. Unfortunately, not everyone understands the concepts. Read about the goals and benefits of FAIR data for scientists and the organization; and practical considerations for implementation.

Sustainability is a growing concern in all aspects of life, and scientists have a unique role in finding solutions to environmental problems. One area where chemists can have a profound impact is the selection of catalysts.

The collaboration represents MilliporeSigma’s joint steps toward breakthrough innovation to make research and quality control in the lab more efficient and sustainable. The new ChemisTwin™ platform combines ACD/Labs’ industry-leading NMR predictors with MilliporeSigma’s digital reference materials (dRMs).  Baveno, ITALY (September 18, 2023)—ACD/Labs, an informatics company that develops and commercializes software in support of R&D, today...

The NuBBE database (NuBBEDB) has been expanded to include predicted NMR data from ACD/Labs in support of research for the development of new drugs from natural products, and sustainability of Brazilian biodiversity. Toronto, CANADA (August 14, 2017)— ACD/Labs, an informatics company that develops and commercializes solutions in support of chemical and pharmaceutical R&D, is delighted...

Building a multi-technique polymer database at the University of Lille Nord de France Lille, France, January 12, 2015—In France, the Materials and Transformations Unit (“Unité Matériaux Et Transformations”, UMET) of the University of Lille Nord de France houses a diverse group of materials science laboratories. Recently the Polymer Systems Engineering group added ACD/ChemAnalytical Workbook and...

For more than a decade, ACD/Structure Elucidator has been used by industry and academic experts to help solve some of the toughest structure problems. Using data from various analytical techniques (NMR, MS, UV, and IR) Structure Elucidator can propose chemical structures that are consistent with ALL available analytical data.

Due to their broad peaks and wide range of chemical shifts in 1H NMR spectra, exchangeable protons are known to pose challenges in NMR interpretation, but collecting 2D spectra and selecting proper experimental conditions can sometimes be used in our favor to learn more.