NEW
2023.6.5
Using GPT-4 in Parameter Selection of Materials Informatics: Improving Predictive Accuracy Amidst Data Scarcity and ‘Ugly Duckling’ Dilemma
2023.5.23
On the Thermodynamic Stability of Alloys: Combination of Neural Network Potential and Wang-Landau Sampling
2023.5.8
Assessing the Reactivity of the Na3PS4 Solid-State Electrolyte with the Sodium Metal Negative Electrode Using Total Trajectory Analysis with Neural-Network Potential Molecular Dynamics
2023.4.28
Quantum Annealing Boosts Prediction of Multimolecular Adsorption on Solid Surfaces Avoiding Combinatorial Explosion
2023.4.28
Effect of HFO Refrigerants on Lubrication Characteristics (Part 2) -Adsorption Characteristics of Various Refrigerants on Nascent Iron Surfaces and Molecular Simulation Analysis-
2023.4.28
Effect of HFO Refrigerants on Lubrication Characteristics (Part 1) -Tribological Characteristics under Refrigerant Atmosphere and Adsorption Characteristics on Nascent Metal Surface-
2023.4.28
Innovation in Molecular Simulation Technologies for Tribology Using Artificial Intelligence
2023.4.27
Comparison of Matlantis and VASP bulk formation and surface energies in metal hydrides, carbides, nitrides, oxides, and sulfides
2023.3.2
Towards universal neural network interatomic potential
2022.12.9
Molecular dynamics of electric-field driven ionic systems using a universal neural-network potential
2022.9.14
Cyber Catalysis: N2 Dissociation over Ruthenium Catalyst with Strong Metal-Support Interaction
2022.4.26
Citation
2022.1.21
Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
2022.1.21
Calculations of Real-System Nanoparticles Using Universal Neural Network Potential PFP
