Topic: Interpretable physics-based models compared with symbolic regression for hopping transport in organic field-effect transistors
Speakers: Lakshminarayanan Madhavkrishnan (School of Electrical and Electronic Engineering, Nanyang Technological University) and Rajdeep Dutta (Institute for Infocomm Research, Agency for Science Technology and Research)
We’re excited to announce the speakers for our next seminar, Lakshminarayanan Madhavkrishnan (Madhav) from School of Electrical and Electronic Engineering, Nanyang Technological University, and Rajdeep Dutta from Institute for Infocomm Research, Agency for Science Technology and Research, to bring us:
“Interpretable physics-based models compared with symbolic regression for hopping transport in organic field-effect transistors”
Abstract
Charge transport in organic semiconductors is dominated by the extent of disorder. Several theories have been proposed to study transport, but they require numerous and often convoluted assumptions. Here, we examine the efficacy of one of the conventional models, namely the Bassler model, in describing the temperature-dependent field-effect mobility of organic field-effect transistors. Using data-driven techniques, that do not require the prior assumption of any existing theory, we propose a simplification of the complexity of not only the number, but also the nature of parameters required by the model to describe the mobility by adopting (1) a data-driven Symbolic Regression (SR) approach and (2) a physics-inspired Renormalization approach. We discuss the merits and demerits of each approach and highlight that physics-inspired fitting techniques point towards a more generalized methodology.
Bio
Lakshminarayanan Madhavkrishnan (Madhav) is a PhD student in the School of Electrical and Electronic Engineering in Nanyang Technological University, Singapore since 2017, jointly supervised by Prof. Wei Lin Leong and Prof. Kedar Hippalgaonkar. Before starting his PhD, he obtained his integrated undergraduate and Masters degrees from the Hyderabad Campus of Birla Institute of Technology and Science (BITS), Pilani. His interests lie in studying structure-property relationships in organic materials using machine learning methods.
Rajdeep Dutta received the Bachelor of Engineering degree in Electrical Engineering, the Master of Science degree in Aerospace Engineering, and the Doctor of Philosophy degree in Electrical and Computer Engineering from Bengal Engineering and Science University (BESU) at Shibpur, Indian Institute of Science (IISc) at Bangalore, and University of Texas at San Antonio (UTSA), respectively. He is currently a research Scientist at the department of Machine Intellection, Institute for Infocom Research, Agency for Science Technology and Research (A*STAR), Singapore. Previously, he worked as a software scientist at Parabole LLC and as a postdoctoral research fellow at the department of Civil Engineering, IISc, Bangalore, India.
Very much looking forward to the seminar – hope to see you all on Wednesday: (SGT) 9am, Wed, 15 September 2021!
Warmest regards,
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