Hachmann, J.

Authored

(377f) A Data-Driven in silico Research Paradigm for the Rational Design of Catalyst Systems and the Exploration of Chemical Space
2017 Annual Meeting (ISBN: 978-0-8169-1102-8)
(508h) Advancing Molecular Simulation Methods with Machine Learning
2017 Annual Meeting (ISBN: 978-0-8169-1102-8)
(740h) Harnessing Virtual High-Throughput Screening and Machine Learning for the Discovery of Novel High Refractive Index Polymers
2017 Annual Meeting (ISBN: 978-0-8169-1102-8)
(731f) Molecular Properties for Renewable Energy Materials from Big Data
2014 AIChE Annual Meeting (ISBN: 978-0-8169-1086-1)
(253bp) A Software Ecosystem for the Data-Driven Design of Chemical Systems and the Exploration of Chemical Space
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
(724g) Computational and Data-Driven Discovery of Novel High Refractive Index Polymers
2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)
(231a) Cheml- a Machine Learning and Informatics Program Suite for the Chemical and Materials Sciences
2015 AIChE Annual Meeting Proceedings (ISBN: 978-0-8169-1094-6)

Related Proceedings

2014 AIChE Annual Meeting2015 AIChE Annual Meeting Proceedings2016 AIChE Annual Meeting2017 Annual Meeting