Peter Blöchl

University Professor

Clausthal University of Technology

Germany

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Articles (9)

Scaling Behavior in the Spectral and Power Density Dependent Photovoltaic Response of Hot Polaronic Heterojunctions

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Year:

2024

Real-time non-adiabatic dynamics in the one-dimensional Holstein model: Trajectory-based vs exact methods

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Year:

2022

Hydrogen-related defects in titanium dioxide at the interface to palladium

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Year:

2021

Ultrafast spin-nematic and ferroelectric phase transitions induced by femtosecond light pulses

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Year:

2020

A Review of Density Functional Models for the Description of Fe(II) Spin-Crossover Complexes

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Year:

2020

Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential

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Year:

2020

Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels

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Year:

2020

Dynamic observation of manganese adatom mobility at perovskite oxide catalyst interfaces with water

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Year:

2020

Evolution of the magnetic and polaronic order of Pr1/2Ca1/2MnO3 following an ultrashort light pulse

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Year:

2020

Collaborators (4)

Christian Jooss

University of Goettingen

GERMANY

Mohsen Sotoudeh

Ulm University

GERMANY

Cynthia Volkert

GERMANY

Fabian Heidrich-Meisner

Faculty/Professor

University of Göttingen

GERMANY

Peter Blöchl

Research Interests

Explore related searches

Contact this professor

Articles (9)

Scaling Behavior in the Spectral and Power Density Dependent Photovoltaic Response of Hot Polaronic Heterojunctions

Real-time non-adiabatic dynamics in the one-dimensional Holstein model: Trajectory-based vs exact methods

Hydrogen-related defects in titanium dioxide at the interface to palladium

Ultrafast spin-nematic and ferroelectric phase transitions induced by femtosecond light pulses

A Review of Density Functional Models for the Description of Fe(II) Spin-Crossover Complexes

Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential

Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels

Dynamic observation of manganese adatom mobility at perovskite oxide catalyst interfaces with water

Evolution of the magnetic and polaronic order of Pr1/2Ca1/2MnO3 following an ultrashort light pulse

Collaborators (4)

Christian Jooss

Mohsen Sotoudeh

Cynthia Volkert

Fabian Heidrich-Meisner

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