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Posters

Poster Awards

Best Poster Award Recipients (alphabetical order)

Rajesh Jha, Florida International University, Computational Design of Alloy Chemistry for Optimizing Multiple Macroscopic and Microscopic Properties
Yoonjin Won, University of California – Irvine, AI Enables New Phase Change Studies
Yi Xia, Northwestern University, High-throughput Calculation of Materials Properties at Finite Temperature

Honorable Mentions (alphabetical order)

Matthew Barry, Georgia Institute of Technology, Voxelized Atomic Structure Potentials: Predicting Atomic Forces with the Accuracy of Quantum Mechanics Using Convolutional Neural Networks
Hadi Ghasemi, University of Houston, Predictive AI platform on thin film evaporation in hierarchical structures
Ramya Gurunathan, Northwestern University, Thermal Resistance of Twist Boundaries and Semicoherent Heterointerfaces
Shoya Kawano, Kyushu Institute of Technology, Phonon calculations of halide perovskite CsSnX3 (X = Cl, Br, and I): Compressive sensing of first-principles calculations
Hyun-Young Kim, Carnegie Mellon University, Neural Network Potential for Lattice Dynamics Calculations and Thermal Conductivity Prediction
Arif Rokoni, Drexel University, Deep Learning Strategies for Critical Heat Flux Detection in Boiling

We would like to thank all of the 34 poster participants who submitted such exciting and timely work to this event, as well as the 17 judges who critically evaluated the submissions.  We also note that to avoid any potential conflicts of interest posters from the workshop organizers were considered ineligible for these awards. 

List of Posters

(The list below is in alphabetical order of author's last name, posters were presented in Gather.Town)

Abstracts of all posters can be viewed here

  • Voxelized Atomic Structure Potentials: Predicting Atomic Forces with the Accuracy of Quantum Mechanics Using Convolutional Neural Networks

Matthew Barry, Georgia Institute of Technology 

  • Optimization of an Embedded Phase Change Material Cooling Strategy Using Machine Learning

Meghavin Bhatasana, Purdue University

  • Thermal Transport Dynamics in Active Heat Transfer Fluids (AHTF)

Anirban Chandra, Rensselaer Polytechnic Institute

  • Evaporation and Transport of Liquid Droplets between Two Non-Parallel Hydrophobic Surfaces

Jiangtao Cheng, Virginia Tech

  • Linking Microstructure and Thermal Properties via Spectral Density Function and Gaussian Process Modeling

Jonathan Eweis-LaBolle, University of California - Irvine 

  • Thermal boundary conductance of beyond-graphene 2D materials on amorphous and crystalline substrates

Cameron Foss, University of Massachusetts - Amherst

  • Predictive AI platform on thin film evaporation in hierarchical structures

Hadi Ghasemi, University of Houston

  • Physics-Informed Data-Driven Approach for Optimizing Electrocaloric (EC) Cooling

Jie Gong, Carnegie Mellon University 

  • Data-Driven damage detection and quantification in moisture contaminate polymer composites

Rishabh Guha, North Carolina State University 

  • Photonic Design for Color Compatible Radiative Cooling Accelerated by Materials Informatics

Jiang Guo, University of Tokyo

  • Thermal Resistance of Twist Boundaries and Semicoherent Heterointerfaces

Ramya Gurunathan, Northwestern University 

  • The Soret Effect in Dry Polymer Electrolytes and Predictions from Liquid Mixtures

Daniel Hallinan, Florida State University

  • Computational Design of Alloy Chemistry for Optimizing Multiple Macroscopic and Microscopic Properties

Rajesh Jha, Florida International University 

  • Phonon calculations of halide perovskite CsSnX3 (X = Cl, Br, and I): Compressive sensing of first-principles calculations

Shoya Kawano, Kyushu Institute of Technology 

  • Neural Network Potential for Lattice Dynamics Calculations and Thermal Conductivity Prediction

Hyun-Young Kim, Carnegie Mellon University 

  • Temperature Distribution Prediction Using 3D Convolutional Neural Network

Daiki Kurihara, University of Notre Dame 

  • Extended X-ray Absorption Fine Structure Fitting using Genetic Algorithms

Miu-Lun (Andy) Lau, Boise State University

  • Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation

Ruiyang Li, University of Notre Dame 

  • Leverage Electron Properties to Predict Phonon Properties via Transfer Learning for Semiconductors

Zeyu Liu, University of Notre Dame 

  • PI1M: A benchmark database for polymer informatics

Ruimin Ma, University of Notre Dame 

  • Heat/Mass Transport in Porous Media by Lagrangian Scales

Dimitrios Papavassiliou, University of Oklahoma

  • Development of full-epitaxial superconducting qubit with all-nitride materials

Wei Qiu, National Institute of Information and Communications Technology 

  • Deep Learning Strategies for Critical Heat Flux Detection in Boiling

Arif Rokoni, Drexel University 

  • Deep Learning for Data Analysis of Frequency Domain Thermoreflectance (FDTR)

Wenqing Shen, Georgia Institute of Technology 

  • Data Integration with Preference Learning for Accelerating Material Design

Xiaolin Sun, University of Tokyo

  • Random Forest Regressions for Critical Heat Flux during Boiling on Structured Surfaces

Brandon Swartz, University of Arizona 

  • Enhanced Robustness of the Silane Self-Assembled Monolayer Coatings during Water Vapor Condensation

Ruisong Wang, Texas A&M University

  • Local study of the evaporation mass flux in thin liquid films using experiments and machine learning

Xiaoman Wang, Carnegie Mellon University 

  • AI Enables New Phase Change Studies

Yoonjin Won, University of California - Irvine

  • Surface Phonon-Polaritons Enhance Thermal Conduction in SiN Nanomembranes

Yunhui Wu, University of Tokyo 

  • High-throughput Calculation of Materials Properties at Finite Temperature

Yi Xia, Northwestern University 

  • NMR-TS: de novo molecule identification from NMR spectra

Jinzhe Zhang, University of Tokyo

  • Thermal phonon dynamics: a wavelet transform approach

Zhongwei Zhang, University of Tokyo 

  • High-Throughput Thermal Transport Property Characterization by Structured Illumination Thermal Imaging (SI-TI)

Qiye Zheng, Lawrence Berkeley National Laboratory