Eric Lindgren

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Density Functional Theory

Machine Learning

Highly Efficient

Top Venues

Journal of chemical theory and computation

Journal of the American Chemical Society

The Journal of chemical physics

This page only lists publications with an associated author ORCID identifier.

Publications

Christian Schäfer, Jakub Fojt, Eric Lindgren, Paul Erhart
Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics. Journal of the American Chemical Society (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Christian Schäfer, Jakub Fojt, Eric Lindgren, Paul Erhart
Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics. Journal of the American Chemical Society 146 (8) (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Christian Schäfer, Jakub Fojt, Eric Lindgren, Paul Erhart
Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics. Journal of the American Chemical Society 146 (8) (2024)
Christian Schäfer, Jakub Fojt, Eric Lindgren, Paul Erhart
Machine Learning for Polaritonic Chemistry: Accessing Chemical Kinetics. Journal of the American Chemical Society 146 (8) (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Nan Xu, Petter Rosander, Christian Schäfer, Eric Lindgren, Nicklas Österbacka, Mandi Fang, Wei Chen, Yi He, Zheyong Fan, Paul Erhart
Tensorial Properties via the Neuroevolution Potential Framework: Fast Simulation of Infrared and Raman Spectra. Journal of chemical theory and computation 20 (8) (2024)
Zheyong Fan, Yanzhou Wang, Penghua Ying, Keke Song, Junjie Wang, Yong Wang, Zezhu Zeng, Ke Xu, Eric Lindgren, J Magnus Rahm, Alexander J Gabourie, Jiahui Liu, Hai-Kuan Dong, Jianyang Wu, Yue Chen, Zheng Zhong, Jian Sun, Paul Erhart, Yanjing Su, Tapio Ala-Nissila
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. The Journal of chemical physics 157 (11) (2022)