Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session T24: Recent Advances in Metal-Insulator Transitions: from Fundamentals to ApplicationsInvited
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Sponsoring Units: DCMP Chair: IVAN SCHULLER, University of California, San Diego Room: Room 237 |
Thursday, March 9, 2023 11:30AM - 12:06PM |
T24.00001: The Transition Mechanism and Its Heterogeneity in Metal-Insulator Transition Compounds, and Machine-Learning Assisted Discovery of Novel Materials Invited Speaker: Alexandru Bogdan Georgescu I will focus on three key recent topics in the field of metal-insulator transition (MIT) compounds. First, I will show how we’ve solved the question of the transition from a high-temperature metallic to a low-temperature insulating state is driven by the electronic or the lattice degrees of freedom by disentangling their roles and showing that the lattice plays a key role in bulk and layered structures of rare earth nickelates (RNiO3 with R a rare earth atom) and Ca2RuO4 - bulk and epitaxially strained thin films [1]. The methodology presented here can be easily applied to study phase transitions in other electronically active compounds. Second, I will discuss how we’ve used layered structures of different materials to understand the heterogeneity of the MIT and its coupled order parameters, and how this theory can be extended to devices [2]. Third, I will discuss the machine learning tools we’ve developed and provided to the community to discover new MIT compounds, and gain new insight into the features that characterize them [3]. Time permitting, I will discuss possible new MIT compounds we’ve identified using these machine learning based tools. |
Thursday, March 9, 2023 12:06PM - 12:42PM |
T24.00002: Tracking the dynamics of the light-induced insulator-metal phase transition in VO2 on atomic and nanoscopic length scales Invited Speaker: Simon E Wall Ultrafast control of material properties is an emerging route to engineer new properties transiently. However, there is still much to learn. While ultrafast techniques can have exceptional time resolution, they typically do so at the expense of spatial information, with most probes measuring average quantities over large areas. This loss of information can make understanding phase transitions particularly challenging as they may be heterogenous, making it difficult to know if defects or other local structures are dominating the response. |
Thursday, March 9, 2023 12:42PM - 1:18PM |
T24.00003: New ways to drive and utilize the metal insulator transition of VO2 Invited Speaker: Junqiao Wu The metal-insulator transition (MIT) of VO2 continues to challenge our understanding of correlated electron physics as well as inspire novel technological applications. In recent years, we have discovered new, non-thermal and non-optical ways to reversibly drive the MIT. We have also developed new applications of the MIT that impact the energy and sensor markets. In this talk, I will review our achievements at these two fronts. |
Thursday, March 9, 2023 1:18PM - 1:54PM |
T24.00004: The electrically driven Insulator-to-Metal transition Invited Speaker: Javier del Valle Many correlated oxides feature an insulator to metal transition (IMT) with a large change of resistivity. Generally, these transitions can also be induced electrically, a phenomenon known as voltage-triggered IMT [1]. The associated volatile resistive switching has attracted a lot of attention due to potential applications. |
Thursday, March 9, 2023 1:54PM - 2:30PM |
T24.00005: Metal-insulator transitions for brain-inspired computing and haptic intelligence Invited Speaker: Shriram Ramanathan We will focus on electronic phase transition mechanisms in correlated oxide semiconductors that can be used to emulate the characteristics of neurons and synapses in the brain and serve as building blocks for AI hardware as well as sensory interfaces for robotics. We will then discuss how features of intelligence noted in slime molds, insects, birds and mammals can be implemented in electronic devices and circuits for learning and decision-making. Mouse brain – perovskite interfaces as an example of bio-electronic information transfer will then be presented. Electric-field driven orbital occupancy control as a principal mechanism behind function will be discussed and contrasted against band semiconductors. |
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