Stefan Goedecker

Stefan Goedecker

Universität Basel

H-index: 63

Europe-Switzerland

About Stefan Goedecker

Stefan Goedecker, With an exceptional h-index of 63 and a recent h-index of 41 (since 2020), a distinguished researcher at Universität Basel, specializes in the field of Computational materials sciences.

His recent articles reflect a diverse array of research interests and contributions to the field:

Performing highly efficient Minima Hopping structure predictions using the Atomic Simulation Environment (ASE)

Accelerating fourth-generation machine learning potentials by quasi-linear scaling particle mesh charge equilibration

COMPASS: Double-ended saddle point search as a constrained optimization problem

Corrigendum to performing highly efficient minima hopping structure predictions using the Atomic Simulation Environment (ASE)[SoftwareX 25 (2024) 101632]

Accurate fourth-generation machine learning potentials by electrostatic embedding

Targeting high symmetry in structure predictions by biasing the potential energy surface

The ternary phase diagram of nitrogen doped lutetium hydrides can not explain its claimed high TC superconductivity

Principles of isomer stability in small clusters

Stefan Goedecker Information

University

Position

Switzerland

Citations(all)

28655

Citations(since 2020)

11502

Cited By

21875

hIndex(all)

63

hIndex(since 2020)

41

i10Index(all)

149

i10Index(since 2020)

110

Email

University Profile Page

Universität Basel

Google Scholar

View Google Scholar Profile

Stefan Goedecker Skills & Research Interests

Computational materials sciences

Top articles of Stefan Goedecker

Title

Journal

Author(s)

Publication Date

Performing highly efficient Minima Hopping structure predictions using the Atomic Simulation Environment (ASE)

SoftwareX

Marco Krummenacher

Moritz Gubler

Jonas A Finkler

Hannes Huber

Martin Sommer-Jörgensen

...

2024/2/1

Accelerating fourth-generation machine learning potentials by quasi-linear scaling particle mesh charge equilibration

arXiv preprint arXiv:2403.02155

Moritz Gubler

Jonas A Finkler

Moritz R Schäfer

Jörg Behler

Stefan Goedecker

2024/3/4

COMPASS: Double-ended saddle point search as a constrained optimization problem

The Journal of Chemical Physics

Martin Sommer-Jörgensen

Stefan Goedecker

2024/2/14

Corrigendum to performing highly efficient minima hopping structure predictions using the Atomic Simulation Environment (ASE)[SoftwareX 25 (2024) 101632]

SoftwareX

Marco Krummenacher

Moritz Gubler

Jonas A Finkler

Hannes Huber

Martin Sommer-Jörgensen

...

2024/2/2

Accurate fourth-generation machine learning potentials by electrostatic embedding

Journal of Chemical Theory and Computation

Tsz Wai Ko

Jonas A Finkler

Stefan Goedecker

Jörg Behler

2023/6/8

Targeting high symmetry in structure predictions by biasing the potential energy surface

Physical Review Research

Hannes Huber

Martin Sommer-Jörgensen

Moritz Gubler

Stefan Goedecker

2023/3/17

The ternary phase diagram of nitrogen doped lutetium hydrides can not explain its claimed high TC superconductivity

New Journal of Physics

Moritz Gubler

Marco Krummenacher

Jonas A Finkler

José A Flores-Livas

Stefan Goedecker

2023/12/5

Principles of isomer stability in small clusters

Materials Advances

Giuseppe Fisicaro

Bastian Schaefer

Jonas A Finkler

Stefan Goedecker

2023

Efficient variable cell shape geometry optimization

Journal of Computational Physics: X

Moritz Gubler

Marco Krummenacher

Hannes Huber

Stefan Goedecker

2023/11/1

Experimental absence of the non-perovskite ground state phases of MaPbI 3 explained by a funnel hopping Monte Carlo study based on a neural network potential

Materials Advances

Jonas A Finkler

Stefan Goedecker

2023

Preventing lead leakage in perovskite solar cells with a sustainable titanium dioxide sponge

Nature Sustainability

Salvatore Valastro

Emanuele Smecca

Giovanni Mannino

Corrado Bongiorno

Giuseppe Fisicaro

...

2023/8

Ternary phase diagram of nitrogen doped lutetium hydrides

arXiv preprint arXiv:2306.07746

Moritz Gubler

Marco Krummenacher

Jonas A Finkler

Stefan Goedecker

2023/6/13

Funnel Hopping Monte Carlo: Efficient Monte Carlo simulations for multi-funnel systems

APS March Meeting Abstracts

Jonas Finkler

Stefan A Goedecker

2022

First-principles equation of state of CHON resin for inertial confinement fusion applications

Physical Review E

Shuai Zhang

Valentin V Karasiev

Nathaniel Shaffer

Deyan I Mihaylov

Katarina Nichols

...

2022/10/20

Manifolds of quasi-constant SOAP and ACSF fingerprints and the resulting failure to machine learn four-body interactions

The Journal of Chemical Physics

Behnam Parsaeifard

Stefan Goedecker

2022/1/21

Missing theoretical evidence for conventional room-temperature superconductivity in low-enthalpy structures of carbonaceous sulfur hydrides

Physical Review Materials

Moritz Gubler

José A Flores-Livas

Anton Kozhevnikov

Stefan Goedecker

2022/1/6

First-Principles Equation of State of CHON for Two-Photon-Polymerization-Fabricated Inertial Confinement Fusion Targets

APS Division of Plasma Physics Meeting Abstracts

Shuai Zhang

Valentin Karasiev

Nathaniel Shaffer

Suxing Hu

Deyan Mihaylov

...

2022

A descriptor for molecular environments in molecular crystals

APS March Meeting Abstracts

Marco Krummenacher

Stefan A Goedecker

2022

Response to “Comment on ‘Manifolds of quasi-constant SOAP and ACSF fingerprints and the resulting failure to machine learn four-body interactions’”[J. Chem. Phys. 156, 034302 …

The Journal of Chemical Physics

Behnam Parsaeifard

Marco Krummenacher

Stefan Goedecker

2022/11/7

Structure prediction of ionic materials using the Minima Hopping method and the CENT machine learning potential

APS March Meeting Abstracts

Stefan A Goedecker

Hossein Tahmasbi

Ehsan Khajehpasha

Samare Rostami

Hossein Asnaashari

...

2021

See List of Professors in Stefan Goedecker University(Universität Basel)