32 citations
- Centre for Sustainable EnergyGB2 papers
- Faculty (United Kingdom)GB2 papers
- Jülich Aachen Research AllianceDE2 papers
- Kwansei Gakuin UniversityJP2 papers
- Phenikaa UniversityVN2 papers
- Phenikaa (Vietnam)VN2 papers
- Renewable Energy Systems (United States)US2 papers
- Sanda UniversityCN2 papers
- University of Silesia in KatowicePL2 papers
- Delft University of TechnologyNL1 paper
- Institute of PhysicsPL1 paper
- KU LeuvenBE1 paper
6 papers
Assessing Maintenance of Medium Voltage Cable Networks Under Time-Varying Loading
Jochen Lorenz Cremer
The electrification and ongoing energy transition lead to systematic changes in electricity loading and variability in power systems. Distribution systems were designed for regular…
Differentiable Thermodynamic Phase-Equilibria for Machine Learning
Karim K. Ben Hicham, Moreno Ascani, Jan G. Rittig +1
Accurate prediction of phase equilibria remains a central challenge in chemical engineering. Physics-consistent machine learning methods that incorporate thermodynamic structure in…
Accelerating Deterministic Global Optimization via GPU-parallel Interval Arithmetic
Hongzhen Zhang, Tim Kerkenhoff, Neil Kichler +4
Spatial Branch and Bound (B&B) algorithms are widely used for solving nonconvex problems to global optimality, yet they remain computationally expensive. Though some works have bee…
Coupling between structural relaxation and diffusion in glass-forming liquids under pressure variation
Anh D. Phan, Kajetan Koperwas, Marian Paluch +1
We theoretically investigate structural relaxation and activated diffusion of glass-forming liquids at different pressures using both the Elastically Collective Nonlinear Langevin…
Effects of Cooling Rate on Structural Relaxation in Amorphous Drugs: Elastically Collective Nonlinear Langevin Equation Theory and Machine Learning Study
Anh D. Phan, Katsunori Wakabayashi, Marian Paluch +1
Theoretical approaches are formulated to investigate the molecular mobility under various cooling rates of amorphous drugs. We describe the structural relaxation of a tagged molecu…
Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions
Yuriy Kochura, Sergii Stirenko, Yuri Gordienko
Deep learning (deep structured learning, hierarchi- cal learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-…