Festschrift in honor of Judith Driscoll: Design and Discovery in Oxide Electronics for Next-Generation Energy-Efficient Technologies
This Special Topic honors the outstanding contributions of Prof. Judith Driscoll to oxide electronics and energy-efficient functional materials. Beginning with complex oxide thin films and heterostructures, her pioneering work has advanced interface engineering, superconductivity, ionic transport, neuromorphic and memristive devices, and the integration of oxides into next-generation technologies. We invite submissions of original research articles, reviews, and perspectives reporting cutting-edge developments in these areas, including experimental, theoretical, and machine learning–driven studies.
Note: Research with more materials focus should be submitted to APL Materials, while those with a machine learning focus should go to APL Machine Learning.
Topics covered include, but are not limited to:
- Oxide thin films and heterostructures
- Defect and interface engineering in complex oxides
- Ionic transport and electrochemical phenomena in oxides
- Memristive, neuromorphic and adaptive electronic devices
- Ferroelectric, multiferroic, and correlated oxide systems
- Energy-efficient and beyond-CMOS electronic materials
- Machine learning and data-driven materials discovery
- In situ/operando characterization of oxide materials
- Integration of oxides with semiconductor platforms.
Guest Editors
Lead Editor: Adnan Mehonic, EiC of APL Machine Learning
Tuhin Maity, (IISERVM)
Robert Hoye, (University of Oxford, United Kingdom)
Thomas Fix, (University of Strasbourg, France)
Jose Silva, (University of Minho, Portugal)
Markus Hellenbrand, University of Cambridge