Autonomous Discovery of Advanced Materials

Informacje na temat projektu

ADAM

Identyfikator umowy o grant: 856405

DOI 10.3030/856405

Data podpisania przez KE 11 Grudnia 2019

Data rozpoczęcia 1 Października 2020

Data zakończenia 31 Marca 2027

Finansowanie w ramach

• EXCELLENT SCIENCE - European Research Council (ERC)

Koszt całkowity € 9 999 283,00

Wkład UE € 9 999 283,00

Koordynowany przez

UNIVERSITY OF SOUTHAMPTON
United Kingdom

Rezultaty

Open Research Data Pilot (1)

Data Management Plan (DMP)

Data Management Plan

Publikacje

Conference proceedings (2)

SOLIS: Autonomous Solubility Screening using Deep Neural Networks

Autorzy: Gabriella Pizzuto, Jacopo De Berardinis, Louis Longley, Hatem Fakhruldeen, Andrew I. Cooper
Opublikowane w: International Joint Conference on Neural Networks (IJCNN), 2022, Strona(/y) 1-7
Wydawca: IEEE
DOI: 10.1109/ijcnn55064.2022.9892533

Integration and Testing of Novel MOX Gas Sensors for IoT-based Indoor Air Quality Monitoring

Autorzy: Mohammed Faeik Ruzaij AI-Okby; Sebastian Neubert; Thomas Roddelkopf; Kerstin Thurow
Opublikowane w: IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Numer 21, 2021, ISBN 978-1-6654-2684-8
Wydawca: IEEE
DOI: 10.1109/cinti53070.2021.9668462

Peer reviewed articles (6)

Evaluating of IAQ-Index and TVOC Parameter-Based Sensors for Hazardous Gases Detection and Alarming Systems

Autorzy: Mohammed Faeik Ruzaij Al-Okby; Sebastian Neubert; Thomas Roddelkopf; Heidi Fleischer; Kerstin Thurow
Opublikowane w: Sensors, Numer 22 (4), 2022, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22041473

Evaluating a Novel Gas Sensor for Ambient Monitoring in Automated Life Science Laboratories

Autorzy: Mohammed Faeik Ruzaij Al-Okby; Thomas Roddelkopf; Heidi Fleischer; Kerstin Thurow
Opublikowane w: Sensors, Numer 22 (21), 2022, Strona(/y) 8161, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22218161

Roles and opportunities for machine learning in organic molecular crystal structure prediction and its applications

Autorzy: R.J. Clements, J.T. Dickman, J. Johal, J.E. Martin, J. Glover, G.M. Day
Opublikowane w: MRS Bulletin, Numer 2022, 2022, ISSN 1938-1425
Wydawca: Springer
DOI: 10.1557/s43577-022-00434-y

Analogy powered by prediction and structural invariants: computationally-led discovery of a mesoporous hydrogen-bonded organic cage crystal

Autorzy: Qiang Zhu; Jay Johal; Daniel E. Widdowson; Zhongfu Pang; Boyu Li; Christopher M. Kane; Vitaliy Kurlin; Graeme M. Day; Marc A. Little; Andrew I. Cooper
Opublikowane w: Journal of the American Chemical Society, Numer 00027863, 2022, Strona(/y) 9893–9901, ISSN 0002-7863
Wydawca: American Chemical Society
DOI: 10.1021/jacs.2c02653

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

Autorzy: Mohammed Faeik Ruzaij Al-Okby; Sebastian Neubert; Thomas Roddelkopf; Kerstin Thurow
Opublikowane w: Sensors, Numer 21 (23), 2021, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21238128

Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots.

Autorzy: Sebastian Neubert; Thomas Roddelkopf; Mohammed Faeik Ruzaij Al-Okby; Steffen Junginger; Kerstin Thurow
Opublikowane w: Sensors, Numer 21 (21), 2021, Strona(/y) 7347, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21217347