24 citations · 69 across the 7 of their papers we have counts for
7 papers
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
Zeren Shui, Petros Karypis, Daniel S. Karls +4
Citation intention Classification (CIC) tools classify citations by their intention (e.g., background, motivation) and assist readers in evaluating the contribution of scientific l…
Automated determination of grain boundary energy and potential-dependence using the OpenKIM framework
Brendon Waters, Daniel S. Karls, Ilia Nikiforov +3
We present a systematic methodology, built within the Open Knowledgebase of Interatomic Models (OpenKIM) framework (https://openkim.org), for quantifying properties of grain bounda…
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui, Daniel S. Karls, Mingjian Wen +3
For decades, atomistic modeling has played a crucial role in predicting the behavior of materials in numerous fields ranging from nanotechnology to drug discovery. The most accurat…
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling
Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum +4
Atomistic simulations are an important tool in materials modeling. Interatomic potentials (IPs) are at the heart of such molecular models, and the accuracy of a model's predictions…
HPC Extensions to the OpenKIM Processing Pipeline
Daniel S. Karls, Steven M. Clark, Brendon A. Waters +2
The Open Knowledgebase of Interatomic Models (OpenKIM) is an NSF Science Gateway that archives fully functional computer implementations of interatomic models (potentials and force…
Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials
Yonatan Kurniawan, Cody L. Petrie, Kinamo J. Williams +5
In this paper, we consider the problem of quantifying parametric uncertainty in classical empirical interatomic potentials (IPs) using both Bayesian (Markov Chain Monte Carlo) and…
The OpenKIM Processing Pipeline: A Cloud-Based Automatic Materials Property Computation Engine
Daniel S. Karls, Matthew Bierbaum, Alexander A. Alemi +3
The Open Knowledgebase of Interatomic Models (OpenKIM) project is a framework intended to facilitate access to standardized implementations of interatomic models for molecular simu…