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Mattson Thieme
Mattson Thieme
Senior Machine Learning Scientist, AbbVie
Verified email at abbvie.com - Homepage
Title
Cited by
Cited by
Year
Enhanced charge photogeneration promoted by crystallinity in small-molecule donor-acceptor bulk heterojunctions
K Paudel, B Johnson, M Thieme, MM Haley, MM Payne, JE Anthony, ...
Applied Physics Letters 105 (4), 2014
422014
Small-molecule bulk heterojunctions: Distinguishing between effects of energy offsets and molecular packing on optoelectronic properties
K Paudel, B Johnson, A Neunzert, M Thieme, B Purushothaman, ...
The Journal of Physical Chemistry C 117 (47), 24752-24760, 2013
262013
Real-time Edge AI For Distributed Systems (READS): Progress On Beam Loss De-blending for the Fermilab Main Injector and Recycler
KJ Hazelwood*, BA Schupbach*, M Thieme*, R Shi*, MA Ibrahim, H Liu, ...
International Particle Accelerator Conference 12, 2021
102021
Optimizing Mu2e Spill Regulation System Algorithms
A Narayanan*, M Thieme*, KJ Hazelwood, MA Ibrahim, H Liu, S Memik, ...
International Particle Accelerator Conference 12, 2021
92021
Synchronous high-frequency distributed readout for edge processing at the fermilab main injector and recycler
JR Berlioz, MR Austin, JM Arnold, KJ Hazelwood, P Hanlet, MA Ibrahim, ...
arXiv preprint arXiv:2208.14873, 2022
72022
Semantic regression for disentangling beam losses in the fermilab main injector and recycler
M Thieme, J Arnold, M Austin, P Hanlet, K Hazelwood, M Ibrahim, H Liu, ...
JACoW, 2022
52022
Fpga architectures for distributed ml systems for real-time beam loss de-blending
MA Ibrahim, MR Austin, JM Arnold, JR Berlioz, P Hanlet, KJ Hazelwood, ...
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States), 2023
32023
Machine Learning for Slow Spill Regulation in the Fermilab Delivery Ring for Mu2e
A Narayanan
JACoW, 2022
32022
Biomedical image segmentation with u-net
M Thieme*, T Reina*
22018
TopoPool: An Adaptive Graph Pooling Layer for Extracting Molecular and Protein Substructures
M Thieme, M Hassan, C Rupakheti, KB Thiagarajan, A Pandey, H Liu
NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023
12023
Ml-based real-time control at the edge: An approach using hls4ml
R Shi, S Ogrenci, JM Arnold, JR Berlioz, P Hanlet, KJ Hazelwood, ...
arXiv preprint arXiv:2311.05716, 2023
12023
Disentangling beam losses in the fermilab main injector enclosure using real-time edge ai
KJ Hazelwood, MR Austin, JM Arnold, JR Berlioz, P Hanlet, MA Ibrahim, ...
12023
Effects of energy offsets and molecular packing on exciton and charge carrier dynamics in small-molecule donor-acceptor composites
K Paudel, B Johnson, A Neunzert, M Thieme, J Anthony, O Ostroverkhova
Optical Processes in Organic Materials and Nanostructures II 8827, 96-103, 2013
12013
Computer Science Department
M Thieme
2024
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e
C Xu, JYC Hu, A Narayanan, M Thieme, V Nagaslaev, M Austin, J Arnold, ...
arXiv preprint arXiv:2312.17372, 2023
2023
Edge AI for accelerator controls (READS): beam loss deblending
J Arnold, M Austin, J Berlioz, D Bracey, P Hanlet, K Hazelwood, JYC Hu, ...
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States), 2023
2023
The Graph Learning Attention Mechanism: Learnable Sparsification Without Heuristics
M Thieme, Y Zhu, H Liu
2022
Learning Predictive, Online Approximations of Explanatory, Offline Algorithms
M Thieme, A Gilani, H Liu
2021
Charge carrier dynamics in small-molecule-and polymer-based donor-acceptor blends
K Paudel, B Johnson, M Thieme, JE Anthony, O Ostroverkhova
MRS Online Proceedings Library (OPL) 1733, mrsf14-1733-q10-05, 2014
2014
Charge Carrier Dynamics in Small-Molecule-and Polymer-based Donor-Acceptor Blends
B Johnson, M Thieme, J Anthony, O Ostroverkhova
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Articles 1–20