Peter Bjørn Jørgensen
Peter Bjørn Jørgensen
Verificeret mail på dtu.dk
Citeret af
Citeret af
Deep learning spectroscopy: Neural networks for molecular excitation spectra
K Ghosh, A Stuke, M Todorović, PB Jørgensen, MN Schmidt, A Vehtari, ...
Advanced science 6 (9), 1801367, 2019
Artificial intelligence applied to battery research: hype or reality?
T Lombardo, M Duquesnoy, H El-Bouysidy, F Årén, A Gallo-Bueno, ...
Chemical Reviews 122 (12), 10899-10969, 2021
Machine learning-based screening of complex molecules for polymer solar cells
PB Jørgensen, M Mesta, S Shil, JM García Lastra, KW Jacobsen, ...
The Journal of chemical physics 148 (24), 2018
A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning
A Bhowmik, IE Castelli, JM Garcia-Lastra, PB Jørgensen, O Winther, ...
Energy Storage Materials 21, 446-456, 2019
Neural message passing with edge updates for predicting properties of molecules and materials
PB Jørgensen, KW Jacobsen, MN Schmidt
arXiv preprint arXiv:1806.03146, 2018
Deep generative models for molecular science
PB Jørgensen, MN Schmidt, O Winther
Molecular informatics 37 (1-2), 1700133, 2018
Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks
J Busk, PB Jørgensen, A Bhowmik, MN Schmidt, O Winther, T Vegge
Machine Learning: Science and Technology 3 (1), 015012, 2021
DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction
PB Jørgensen, A Bhowmik
arXiv preprint arXiv:2011.03346, 2020
NeuralNEB—Neural Networks can find reaction paths fast
M Schreiner, A Bhowmik, T Vegge, PB Jørgensen, O Winther
Machine Learning: Science and Technology 3 (4), 045022, 2022
Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids
PB Jørgensen, A Bhowmik
npj Computational Materials 8 (1), 183, 2022
Brokering between tenants for an international materials acceleration platform
M Vogler, J Busk, H Hajiyani, PB Jørgensen, N Safaei, IE Castelli, ...
Matter 6 (9), 2647-2665, 2023
On-the-fly assessment of diffusion barriers of disordered transition metal oxyfluorides using local descriptors
JH Chang, PB Jørgensen, S Loftager, A Bhowmik, JMG Lastra, T Vegge
Electrochimica Acta 388, 138551, 2021
Materials property prediction using symmetry-labeled graphs as atomic-position independent descriptors
PB Jørgensen, EG del Río, MN Schmidt, KW Jacobsen
arXiv preprint arXiv:1905.06048, 2019
An Iterative Receiver for OFDM With Sparsity-Based Parametric Channel Estimation
TL Hansen, PB Jørgensen, MA Badiu, BH Fleury
IEEE Transactions on Signal Processing, 2018
Machine learning: deep learning spectroscopy: neural networks for molecular excitation spectra (adv. Sci. 9/2019)
K Ghosh, A Stuke, M Todorović, PB Jørgensen, MN Schmidt, A Vehtari, ...
Advanced Science 6 (9), 2019
Implementation of LTE SC-FDMA on the USRP2 software defined radio platform
PB Jørgensen, TL Hansen, TB Sørensen, G Berardinelli
2011 IEEE Swedish Communication Technologies Workshop (Swe-CTW), 34-39, 2011
Bayesian Compressed Sensing with Unknown Measurement Noise Level
TL Hansen, PB Jørgensen, NL Pedersen, CN Manchón, BH Fleury
Joint sparse channel estimation and decoding: Continuous and discrete domain sparsity
TL Hansen, PB Jørgensen, MA Badiu, BH Fleury
CoRR, vol. abs/1507.02954, 2015
Accelerated Workflow for Antiperovskite‐based Solid State Electrolytes
BH Sjølin, PB Jørgensen, A Fedrigucci, T Vegge, A Bhowmik, IE Castelli
Batteries & Supercaps 6 (6), e202300041, 2023
Compressed sensing with rank deficient dictionaries
TL Hansen, DH Johansen, PB Jørgensen, KF Trillingsgaard, T Arildsen, ...
2012 IEEE Global Communications Conference (GLOBECOM), 3594-3599, 2012
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