| 2017-KUBI-67787 | |
| Researchers at Purdue University have developed an algorithm that adapts NEGF to molecular chemistry. This modeling technique would be valuable to general chemistry companies and pharmaceutical companies. In particular, pharmaceutical R&D would benefit from this technology, since it allows for predicting the influence of formulation, temperature, shelf life, etc., on the drug molecules. It can thereby avoid unrealistic predictions and save resources otherwise wasted with futile experiments. Advantages: -Predicting molecular properties -More reliable than existing tools -Easy to run Potential Applications: -Chemistry companies -Pharmaceutical companies |
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Dec 19, 2019
NATL-Patent
United States
11,508,463
Nov 22, 2022
Jan 27, 2023
CIP-Patent
United States
(None)
(None)
Nov 18, 2022
CON-Patent
United States
(None)
(None)
Jun 29, 2018
PCT-Patent
WO
(None)
(None)
Jun 29, 2017
Provisional-Patent
United States
(None)
(None)
Jun 29, 2017
Copyright
United States
(None)
(None)
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Purdue Office of Technology Commercialization The Convergence Center 101 Foundry Drive, Suite 2500 West Lafayette, IN 47906 Phone: (765) 588-3475 Fax: (765) 463-3486 Email: otcip@prf.org |
