Search words under length of 4 characters are not processed.

4305 results:

841. Tailoring properties of hybrid perovskites by domain-width engineering with charged walls
Date: 18-12-18  Score: 1,51  Percental score: 7 

… npj Computational Materials, vol. 4, no. 1, art. no. 75,…

842. LIGHTWEIGHT SUSTAINABLE CARBON-FLAX HYBRID COMPOSITES WITH POLYBENZOXAZINE VITRIMER
Date: 19-03-24  Score: 1,51  Percental score: 7 

… on Composite Materials, 2023 Bourdon K.,…

843. Physical mechanisms underpinning conductometric gas sensing properties of metal oxide nanostructures
Date: 04-12-23  Score: 1,51  Percental score: 7 

… to use multiple materials and…

844. At the heart of the global warming negotiations
Date: 04-12-15  Score: 1,51  Percental score: 7 

LIST's focus on the topic of limiting global temperature increase

845. SD-25044 - POSTDOCTORAL RESEARCHER IN PYROELECTRIC CATALYSIS FOR WATER SPLITTING
Date: 13-05-25  Score: 1,51  Percental score: 7 

… in the fields of materials, environment and…

846. REACH, CLP and the Environment: 8 events in 2018
Date: 05-04-18  Score: 1,51  Percental score: 7 

In 2018, LIST is running eight events for Luxembourgish businesses and public authorities affected by environmental and/or chemical product legislation.

847. Valortech
Date: 03-11-15  Score: 1,51  Percental score: 7 

Developing an innovative polygeneration energy concept by integrating biomass gasification, pellet production and combined heat and power generation.

848. New partnership towards reducing reliance on fossil fuels in transportation through vehicle-integrated photovoltaics
Date: 15-03-23  Score: 1,51  Percental score: 7 

On 3 March, LIST and Cactus Supermarkets signed a new partnership within the scope of energy transition and decarbonization of the transport sector based on vehicle-integrated photovoltaics, the

849. LIST and VTT sign Memorandum of Understanding
Date: 13-05-16  Score: 1,51  Percental score: 7 

LIST and VTT have signed a Memorandum of Understanding reinforcing their collaboration.

850. Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks
Date: 09-01-24  Score: 1,51  Percental score: 7 

… simulations in materials science. Focusing…