5 citations · 15 across the 10 of their papers we have counts for
10 papers
Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators
Han Zhang, Alexander Ogren, Cynthia Rudin +2
Machine learning surrogates based on neural operators have shown broad applicability in solving forward PDE problems. However, eigenvalue problems, in which an eigenparameter and o…
Liberata -- Graph Scientometrics for a Share Based System of Academic Publishing
Han Zhang, Anshuman Sabath, Timothy W. Dunn +1
Contemporary scientometric indicators remain anchored in paradigms and axioms from when academic research was conducted in small scholarly communities. With the global proliferatio…
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali +32
Large Language Models (LLMs) are reshaping many aspects of materials science and chemistry research, enabling advances in molecular property prediction, materials design, scientifi…
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images
Kungang Zhang, Wei Chen, Wing K. Liu +2
Microstructure of materials is often characterized through image analysis to understand processing-structure-properties linkages. We propose a largely automated framework that inte…
Understanding process-structure-property relation for elastoplastic behavior of polymer nanocomposites with agglomeration anomalies and gradient interphase percolation
Prajakta Prabhune, Anlan Chen, Yigitcan Comlek +2
For polymer nanocomposites, disordered microstructural nature makes processing control and tailoring properties to desired values a challenge. Understanding process-structure-prope…
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…
Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
Mary V. Bastawrous, Zhi Chen, Alexander C. Ogren +3
Manipulating the dispersive characteristics of vibrational waves is beneficial for many applications, e.g., high-precision instruments. architected hierarchical phononic materials…
Extracting Polymer Nanocomposite Samples from Full-Length Documents
Ghazal Khalighinejad, Defne Circi, L. C. Brinson +1
This paper investigates the use of large language models (LLMs) for extracting sample lists of polymer nanocomposites (PNCs) from full-length materials science research papers. The…
Uncertainty Quantification of Bandgaps in Acoustic Metamaterials with Stochastic Geometric Defects and Material Properties
Han Zhang, Rayehe Karimi Mahabadi, Cynthia Rudin +2
This paper studies the utility of techniques within uncertainty quantification, namely spectral projection and polynomial chaos expansion, in reducing sampling needs for characteri…
Community Action on FAIR Data will Fuel a Revolution in Materials Research
LC Brinson, LM Bartolo, B Blaiszik +4
Data - arguably the most important product of worldwide materials research investment - are rarely shared. The small and biased proportion of results published are buried in plots…