JP
Jenna A. Bilbrey
Also known as: Jenna Pope
Pacific Northwest National Laboratory, Research Square (United States), University of Georgia, University of West Florida, John Wiley & Sons (United States)
Research areas: Materials Science · Materials Chemistry · Machine Learning in Materials Science · Advanced Chemical Physics Studies · Computational Drug Discovery Methods
0000-0002-4199-7244
Employment
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Pacific Northwest National Laboratory Data Scientist2018 - Present
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Research Square Academic Editor2016 - 2018
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Wiley Developmental Editor2015 - 2016
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University of California Santa Barbara Staff Researcher2010 - 2010
Education
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University of Georgia Ph.D.2010 - 2014
- 2005 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- Assessing universal MLIP robustness with per-atom uncertainty for simulations of solid-liquid interfaces Save
- Atom-specific vibrational analysis reveals labile bonds in linear and branched PFOA molecules Save
- Revealing the evolution of order in materials microstructures using multi-modal computer vision Save
- Generalizable image segmentation for microstructure characterization through integrated SEM and EBSD analysis Save
- Influence of Laser Wavelength and Pulse Energy on Composition in the APT Analysis of Proton and Heavy-Ion Irradiated GaN Save
- Unsupervised Clustering Approach to Identify Chemical Segregation in Atom Probe Tomography Reconstructions Save
- Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE Save
- Compositional Community Detection: Automated Identification of Chemical Segregation in Atom Probe Tomography Data Save
- Machine-learning-enabled on-the-fly analysis of RHEED patterns during thin film deposition by molecular beam epitaxy Save
- Uncertainty quantification for neural network potential foundation models Save
- Epitaxial LaFeO3/SrTiO3 films before and after irradiation Save
- Identifying Sample Provenance From SEM/EDS Automated Particle Analysis via Few-Shot Learning Coupled With Similarity Graph Clustering Save
- An open database of computed bulk ternary transition metal dichalcogenides Save
- Active sampling for neural network potentials: Accelerated simulations of shear-induced deformation in Cu–Ni multilayers Save
- Graph-component approach to defect identification in large atomistic simulations Save
- Annealing of polycrystalline Al Save
- Shear deformation of polycrystalline Al Save
- A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters Save
- Improving radiograph analysis throughput through transfer learning and object detection Save
- Tracking the Chemical Evolution of Iodine Species Using Recurrent Neural Networks Save