T. Ala‐Nissila

Materials Chemistry · 2002–2022

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 91 citations into it; #7,395 of 11,513 by trust here, #9,037 by citations
• Biomedical Engineering — 9 citations into it

Whom T. Ala‐Nissila trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alexander Stukowski
2. Mark E. Tuckerman

Who trusts T. Ala‐Nissila overall

1. F. Baletto
2. R. Ferrando
3. David Dubbeldam

Papers from T. Ala‐Nissila's perspective

Ordered by how strongly the researchers T. Ala‐Nissila trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast parallel algorithms for short-range molecular dynamics
2. Computer simulation of local order in condensed phases of silicon.
3. Crystal structure prediction using ab initio evolutionary techniques: principles and applications. (Journal of Chemical Physics)
4. Structure identification methods for atomistic simulations of crystalline materials
5. Recent developments in the study of hydrogen embrittlement: Hydrogen effect on dislocation nucleation
6. Review and perspective on ultrafast wavelength‐size electro‐optic modulators
7. On representing chemical environments
8. QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
9. Improved tangent estimate in the nudged elastic band method for finding minimum energy paths and saddle points
10. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics (Computer Physics Communications)

Their papers

• Collective and single particle diffusion on surfaces (2002) — 454 citations
• Thermal conductivity decomposition in two-dimensional materials: Application to graphene (2016) — 134 citations
• GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations. (2022) — 395 citations
• Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport (2021) — 306 citations
• Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials (2018) — 151 citations
• Global transition path search for dislocation formation in Ge on Si(001) (2016) — 447 citations
• Coarse-graining polymers with the MARTINI force-field: polystyrene as a benchmark case (2011) — 217 citations