Anubhav Jain

Presentation History

2024 MRS Spring Meeting

An Efficient High-Throughput Approach for Investigating Anharmonic Lattice Dynamics

Apr 24, 2024, 5:00 PM

2024 MRS Spring Meeting

PV-VISION: An Deep Learning based Package for Automated Solar Module Inspection

Apr 23, 2024, 5:00 PM

2024 MRS Spring Meeting

Analyzing The Impact of Design Factors on Solar Module Thermomechanical Durability Using Interpretable Machine Learning

Apr 23, 2024, 2:30 PM

2023 MRS Fall Meeting

Applications of Large Language Models in Materials Discovery and Design

Nov 30, 2023, 4:00 PM

2023 MRS Fall Meeting

Informing Precursor Choices for Sol-Gel Synthesis of BiFeO3 Thin Films using Text-Mining and Chemical Reaction Networks

Nov 29, 2023, 8:00 PM

2023 MRS Spring Meeting

Exploring the Reaction Mechanisms in Sol-Gel Synthesis of BiFeO3 Thin Films Using Chemical Reaction Networks

Apr 13, 2023, 5:00 PM

2023 MRS Spring Meeting

Informing Experiments Through Machine-learned Representations of Text-mined Synthesis Conditions to Rationalize Impurity Phase Formation in Sol-gel-directed BiFeO₃ Thin Film Synthesis

Apr 13, 2023, 11:00 AM

2023 MRS Spring Meeting

A Lightweight and Flexible Schema for Materials Data to Interface with Self-Driving Laboratories

Apr 13, 2023, 11:00 AM

2023 MRS Spring Meeting

Matbench Discovery - An Automated Benchmark for ML Energy Models

Apr 13, 2023, 10:45 AM

2022 MRS Fall Meeting

Efficient Methods for Accurately Calculating Thermoelectric Properties—Electronic and Thermal Transport

Dec 1, 2022, 8:15 AM

2022 MRS Fall Meeting

A High-Throughput Framework for Lattice Dynamics

Nov 29, 2022, 8:00 PM

2022 MRS Fall Meeting

Natural Language Processing for Data Extraction and Synthesizability Prediction from the Energy Materials Literature

Nov 28, 2022, 4:30 PM

2022 MRS Fall Meeting

Data-Driven Insights from AuNP Synthesis Recipes

Nov 28, 2022, 4:15 PM

2022 MRS Fall Meeting

Using High-Throughput Calculations and Machine Learning to Understand Electronic Transport in Thermoelectrics

Nov 28, 2022, 11:45 AM

2022 MRS Spring Meeting

Informing Experiments Through Visualization and Machine-learned Representations of Text-Mined Materials Synthesis Conditions

May 13, 2022, 3:15 PM

2022 MRS Spring Meeting

Using High-Throughput Calculations and Machine Learning to Understand Electronic Transport in Semiconductors

May 10, 2022, 2:00 PM

2022 MRS Spring Meeting

A Flexible and Scaleable Scheme for Combining Formation Energies Computed with Different Density Functionals

May 8, 2022, 2:15 PM

2021 MRS Fall Meeting

Progress Towards Leveraging Natural Language Processing for Collecting Experimental Data and Data Mining

Dec 8, 2021, 9:30 AM

2021 MRS Fall Meeting

Understanding the Temperature Dependence of Carrier Mobility

Dec 7, 2021, 12:15 PM

2021 MRS Spring Meeting

Natural Language Processing for Materials Design—What Can We Extract From the Research Literature?

Apr 18, 2021, 8:40 AM