April 2024: Prof. Mannodi will deliver an invited talk titled “Machine Learning Defect Properties of Semiconductors” in the symposium “Machine Learning Methods, Data and Automation for Sustainable Electronics” at the MRS Spring Meeting in Seattle.
March 2024: Prof. Mannodi will deliver an invited MSE seminar at Boston University, titled “Semiconductor Discovery using Multi-Fidelity DFT-ML and Crystal Graphs”.
Dec 2023: Prof. Mannodi delivered an invited talk on “Data-Driven Materials Design” at IIT Delhi, New Delhi, India.
Dec 2023: Prof. Mannodi delivered an invited talk titled “Machine Learning Defect Properties of Semiconductors” at The XXIII International Workshop on the Physics of Semiconductor Devices (IWPSD 2023) held at IIT Madras, Chennai, India.
Oct 2023: Prof. Mannodi delivered an MRS webinar titled “TUTORIAL PREVIEW SESSION: Machine Learning in Materials Science—From Basic Concepts to Active Learning”.
Oct 2023: Prof. Mannodi was selected as a Fellow for Scialog: Automating Chemical Laboratories, organized by the Research Corporation for Science Advancement and the Arnold and Mabel Beckman Foundation.
Oct 2023: Congratulations to PhD student Habibur Rahman on passing his PhD prelim exam! Habibur’s presentation was titled “Studying Defect Properties in Semiconductors using First Principles Simulations and Machine Learning”.
Sep 2023: Prof. Mannodi was selected to represent The Minerals, Metals and Materials Society (TMS) at the 2023 Emerging Leaders Alliance Conference.
Aug 2023: We welcome two new PhD students to the group- Maitreyo Biswas and Rushik Desai.
July 2023: Jiaqi Yang successfully defended his PhD thesis on July 10, 2023. CONGRATULATIONS Jiaqi! His thesis is titled “Materials Design using First Principles Calculations: Investigating Halide Perovskites and Transition Metal Electrocatalysts”.
Jun 2023: Prof. Mannodi delivered an invited virtual seminar titled “Discovering Novel Halide Perovskites using Multi-Fidelity Machine Learning and Graph Neural Networks” at the 3M Materials Informatics Tech Forum.
Jun 2023: Panayotis Manganaris successfully defended his Master’s thesis on June 8, 2023. CONGRATULATIONS Panos! His thesis is titled “Multi-Fidelity Machine Learning for Perovskite Band Gap Predictions”.
May 2023: We welcome several Purdue undergraduate students as summer researchers in our group: Gavin Bidna (SURF), Carolina Francis, Anika Bhoopalam, Ridhi Sai Tamirasa, and Benjamin Reigle.
Apr 2023: Prof. Mannodi organized a day-long machine learning tutorial at the MRS spring meeting in San Francisco.
Mar 2023: Prof. Mannodi is a recipient of the The Minerals, Metals & Materials Society (TMS) Functional Materials Division (FMD) Young Leaders Professional Development Award.
Nov/Dec 2022: Prof. Mannodi organized a day-long machine learning tutorial and a 4-day long symposium on AI for energy materials at the MRS fall meeting in Boston. As part of this effort, he was interviewed by MRS TV on the importance of machine learning in materials science: find recording here.
Nov 2022: Prof. Mannodi delivered a presentation at the MRS Webinar on Artificial Intelligence in Computational Materials Science, title “High-throughput Computations and Machine Learning for Halide Perovskite Discovery“. Recording can be found online.
Oct 2022: Prof. Mannodi delivered two invited talks at MS&T 2022, titled “Multi-Fidelity Machine Learning for Perovskite Discovery” and “Machine Learning Defect Properties of Semiconductors”.
Sep 2022: Prof. Mannodi delivered an invited seminar titled “Multi-Fidelity Machine Learning for Perovskite Discovery” at the Center for Materials and Nanoscience at the University of Nebraska.
Aug 2022: Prof. Mannodi delivered an invited talk titled “Driving Perovskite Discovery using Multi-Fidelity DFT-ML” at the “Computational Materials Science and Engineering” Gordon Research Conference.
Aug 2022: We welcome Rama Edlabadkar as an undergraduate researcher to our group, aiming to use graph neural networks to design novel halide perovskites as part of her bachelor thesis project.
Aug 2022: We welcome Prince Gollapalli as a visiting scholar to our group, aiming to complete a project on defects in semiconductors leading up to his PhD defense.
Aug 2022: We welcome Habibur Rahman to our group as a new PhD student.
May 2022: Prof. Mannodi delivered an invited talk titled “Machine Learning Defect Properties of Semiconductors” at the MRS Spring Meeting, symposium EQ02.
Dec 2021: Prof. Mannodi was featured as a Modelling and Simulation in Materials Science and Engineering Emerging Leader for 2021.
Aug 2021: Congratulations to Panos on being awarded the Ross Fellowship.
Prof. Mannodi was featured on the List of Outstanding Graduate School Instructors for Spring 2021 at Purdue University.