Materials Project, AFLOW, OQMD, or JARVIS-DFT: which one do you query first?

The answer depends on what you're measuring. We compared all four on coverage, DFT settings, and update cadence.

Full comparison → alloybase.app/blog/posts/m...

#MaterialsInformatics #ComputationalMaterialsScience #DFT

HYBRID CHANCE-CONSTRAINED OPTIMAL POWER FLOW UNDER LOAD AND RENEWABLE GENERATION UNCERTAINTY USING ENHANCED MULTI-FIDELITY GRAPH NEURAL NETWORKS Power systems are transitioning toward renewable sources and electrification, introducing significant uncertainties in generation and demand that optimal power...

Hybrid Chance-Constrained Optimal Power Flow under Load and Renewable Generation Uncertainty using Enhanced Multi-Fidelity Graph Neural Networks

dl.begellhouse.com/journals/558...

#MachineLearningMaterials #AIinMaterials #ComputationalMaterialsScience

Flow Map Learning for Unknown Dynamical Systems: Overview, Implementation, and Benchmarks

dl.begellhouse.com/journals/558...

#MachineLearningMaterials #AIinMaterials #ComputationalMaterialsScience

Physics-Informed Neural Networks for Modeling of 3D Flow Thermal Problems with Sparse Domain Data

dl.begellhouse.com/journals/558...

#MachineLearningMaterials #AIinMaterials #ComputationalMaterialsScience

Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling

dl.begellhouse.com/journals/558...

#MachineLearningMaterials #AIinMaterials #ComputationalMaterialsScience

ChatGPT for Programming Numerical Methods

dl.begellhouse.com/journals/558...

#MachineLearningMaterials #AIinMaterials #ComputationalMaterialsScience

AI-Enabled Cardiovascular Models Trained on Multifidelity Simulations Data

dl.begellhouse.com/journals/558...

#MachineLearningMaterials #AIinMaterials #ComputationalMaterialsScience

Deep Learning-based prediction of self-energies from ab initio Dynamical Mean-Field Theory for real materials with minimal data sets Density-functional Theory (DFT) has been the mainstay of solid-state physicists and quantum chemists alike for the better part of several decades to carry out first-principles calculations on solid ma...

Deep Learning-based prediction of self-energies from ab initio Dynamical Mean-Field Theory for real materials with minimal data sets | ChemRxiv - doi.org/10.26434/che...
#machinelearning #computationalchemistry #computationalmaterialsscience #condensedmatterphysics

We are pleased to welcome Hao Lu, Beijing University of Technology, as a member of our inaugural #ECAB for #BJNANO 💎🔓.

🔗 www.beilstein-journals.org/bjnano/news/EPX6G7W3M7IP...

Hao brings expertise in structural #nanomaterials and […]

[Original post on hessen.social]