Wallenberg Initiative Materials Science for Sustainability

Published in Nature Energy, Prof. Gao’s and researcher Rui Zhang’s study identifies the key factors controlling morphology, a long-standing challenge to improve efficiency. These findings also provide a roadmap for designing organic solar cells that meet the requirements of large-scale production using green solvents.

We are happy to introduce Magnus Fredriksson, one of our great speakers, to present at WISE Networking Day, January 28, 2025.

We are happy to introduce Susanne Norgren, one of our great speakers, to present at WISE Networking Day, January 28, 2025.

-The WISE Research School plays a crucial role in helping doctoral students and postdoctoral researchers contribute to the green transition through materials research, says Prof. Larsson from LTU.

The UN Sustainable Development Goal (SDG) 12 promotes sustainable consumption and production. “Our developed OECT-based biosensor is designed to monitor the freshness of meat and fish contributing to pave the way for smarter, more reliable food quality checks”, says Yunfan Lin, WISE PhD student at KTH.

The recent calls for WASP-WISE collaboration projects have generated an impressive response, with 22 applications for the pilot projects and 30 for the NEST projects.

-While XPS is straightforward to use for metals, it poses profound challenges for insulators, which can lead to inaccurate spectra interpretation. The exponential growth in XPS publications has also increased the risk of dissemination of potentially erroneous results. This is a serious concern because scientific progress depends on reliable and reproducible data, say Profs. Greczynski and Hultman from Linköping University.

As 2024 draws to a close, WISE reflects on an incredible year of groundbreaking initiatives and collaboration.

-What makes my job at WISE very rewarding is the fact that we work as a team and we support each other, says Erna Delczeg, WISE Research Coordinator.

The fourth seminar in the series: Machine Learning meets Materials Science is coming up on December 5th. Don’t miss this opportunity to gain fresh perspectives, learn foundational AI concepts, and connect with leading minds in materials science and machine learning.