Market Research - New York, NY, US
The Open Force Field Initiative is a network of academic and industry researchers working together to advance science and infrastructure required for building the next generation of small molecule and biomolecular force fields. The aim is to develop automated and systematic data-driven techniques to parameterize and assess new generations of more accurate force fields. Software and data are released under open licensing agreements to enable rapid application, validation, extension and any kind of modification by our users and contributors. Building and supporting a strong community of users and contributors from industry and academia is another important goal for the Initiative, as well as exploring different pathways to sustainability.
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The Open Force Field Initiative is a collaborative network of academic and industry researchers dedicated to advancing the science and infrastructure required for building the next generation of small molecule and biomolecular force fields. Based in New York, USA, the initiative aims to develop automated and systematic data-driven techniques to parameterize and assess new generations of more accurate force fields. With a focus on openness and collaboration, the initiative releases software and data under open licensing agreements, enabling rapid application, validation, extension, and modification by users and contributors. Building a strong community of users and contributors from industry and academia is also a key goal, as well as exploring different pathways to sustainability. The Open Force Field Initiative's website, openforcefield.org, provides further information on their research and activities. You can also find them on LinkedIn at http://www.linkedin.com/company/openforcefield. With a size of 20-49 employees and revenue of 1-2.5 million, the initiative is a growing presence in the market research industry. Their work has the potential to significantly impact the field of molecular research and beyond.
The Open Force Field Initiative is a group of researchers from universities and companies working together to improve the science and technology needed to create more accurate models of small molecules and biomolecules. They want to develop ways to automatically create and test these models using data-driven techniques. They release their software and data under open licenses so that others can use, modify, and expand upon their work. They also want to build a community of users and contributors from both academia and industry, and explore ways to make the project sustainable.