Mikko Karttunen

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Combination of Molecular Dynamics Simulations and Machine Learning Reveals Structural Characteristics of Stereochemistry-Specific Interdigitation of Synthetic Monomycoloyl Glycerol Analogs.
J. Chem. Inf. Model.
Suvi Heinonen, Artturi Koivuniemi, Matthew Davies, Mikko Karttunen, Camilla Foged, Alex Bunker
2025 J jnl
Machine learning-optimized stochastic Voronoi lattices for enhanced mechanical performance.
Eng. Appl. Artif. Intell.
Michael Thompson, Hamidreza Yazdani Sarvestani, Ahmad Sohrabi-Kashani, Elham Kiyani, Enzo Filippi, Derek Aranguren van Egmond, Meysam Rahmat, Behnam Ashrafi, Mikko Karttunen
2024 J jnl
A Molecular Dynamics Simulation Study of the Effects of βGln114 Mutation on the Dynamic Behavior of the Catalytic Site of the Tryptophan Synthase.
J. Chem. Inf. Model.
Anupom Roy, Mikko Karttunen
2023 J jnl
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data.
CoRR
Elham Kiyani, Khemraj Shukla, George Em Karniadakis, Mikko Karttunen
2023 J jnl
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs.
CoRR
Elham Kiyani, Mahdi Kooshkbaghi, Khemraj Shukla, Rahul Babu Koneru, Zhen Li, Luis Bravo, Anindya Ghoshal, George Em Karniadakis, Mikko Karttunen
2023 J jnl
Designing architectured ceramics for transient thermal applications using finite element and deep learning.
CoRR
Elham Kiyani, Hamidreza Yazdani Sarvestani, Hossein Ravanbakhsh, Razyeh Behbahani, Behnam Ashrafi, Meysam Rahmat, Mikko Karttunen
2022 J jnl
Highly Similar Sequence and Structure Yet Different Biophysical Behavior: A Computational Study of Two Triosephosphate Isomerases.
J. Chem. Inf. Model.
Cecilia Chávez-García, Mikko Karttunen
2022 J jnl
Machine Learning-Driven Process of Alumina Ceramics Laser Machining.
CoRR
Razyeh Behbahani, Hamidreza Yazdani Sarvestani, Erfan Fatehi, Elham Kiyani, Behnam Ashrafi, Mikko Karttunen, Meysam Rahmat
2022 J jnl
Multiscale Computational Study of the Conformation of the Full-Length Intrinsically Disordered Protein MeCP2.
J. Chem. Inf. Model.
Cecilia Chávez-García, Jérôme Hénin, Mikko Karttunen
2021 J jnl
Fine-Tuning the Polarizable CL&Pol Force Field for the Deep Eutectic Solvent Ethaline.
J. Chem. Inf. Model.
Rafael Maglia de Souza, Mikko Karttunen, Mauro Carlos Costa Ribeiro
2020 J jnl
Molecular Dynamics Simulations of Polymer-Ionic Liquid (1-Ethyl-3-methylimidazolium Tetracyanoborate) Ternary Electrolyte for Sodium and Potassium Ion Batteries.
J. Chem. Inf. Model.
Rafael Maglia de Souza, Leonardo José Amaral de Siqueira, Mikko Karttunen, Luis Gustavo Dias
2020 J jnl
Self-Assembly of Phosphocholine Derivatives Using the ELBA Coarse-Grained Model: Micelles, Bicelles, and Reverse Micelles.
J. Chem. Inf. Model.
Rafael Maglia de Souza, R. H. Ratochinski, Mikko Karttunen, Luis Gustavo Dias
2012 J jnl
A molecular dynamics implementation of the 3D Mercedes-Benz water model.
Comput. Phys. Commun.
Teemu Hynninen, Cristiano L. Dias, A. Mkrtchyan, Vili Heinonen, Mikko Karttunen, Adam S. Foster, Tapio Ala-Nissila
2010 J jnl
Role of Lipids in Spheroidal High Density Lipoproteins.
PLoS Comput. Biol.
Timo Vuorela, Andrea Catte, Perttu S. Niemelä, Anette Hall, Marja T. Hyvönen, Siewert J. Marrink, Mikko Karttunen, Ilpo Vattulainen
2007 J jnl
Assessing the Nature of Lipid Raft Membranes.
PLoS Comput. Biol.
Perttu S. Niemelä, Samuli Ollila, Marja T. Hyvönen, Mikko Karttunen, Ilpo Vattulainen
2007 J jnl
Long-range interactions and parallel scalability in molecular simulations.
Comput. Phys. Commun.
Michael Patra, Marja T. Hyvönen, Emma Falck, Mohsen Sabouri-Ghomi, Ilpo Vattulainen, Mikko Karttunen
2004 J jnl
Systematic comparison of force fields for microscopic simulations of NaCl in aqueous solutions: Diffusion, free energy of hydration, and structural properties.
J. Comput. Chem.
Michael Patra, Mikko Karttunen