32 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre for Sustainable EnergyGB3 papers
- Renewable Energy Systems (United States)US3 papers
- Faculty (United Kingdom)GB2 papers
- Jülich Aachen Research AllianceDE2 papers
- Kwansei Gakuin UniversityJP2 papers
- Phenikaa UniversityVN2 papers
- Phenikaa (Vietnam)VN2 papers
- Sanda UniversityCN2 papers
- University of Silesia in KatowicePL2 papers
- Ajou UniversityKR1 paper
- Delft University of TechnologyNL1 paper
- Fraunhofer Institute for Energy Economics and Energy System TechnologyDE1 paper
10 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…
Exceptional thermoelectric properties in NaTlSb enabled by quasi-1D band structure
Øven A. Grimenes, Ole M. Løvvik, Kristian Berland
Materials with reduced dimensionality offer beneficial density-of-states (DOS) profiles for thermoelectric energy conversion, but can be impractical in realistic devices. Encouragi…
Nontrivial Kron Reduction for Power Grid Dynamics Modeling
Laurent Pagnier, Robin Delabays, Melvyn Tyloo
The Kron reduction is used in power grid modeling when the analysis can -- supposedly -- be restricted to a subset of nodes. Typically, when one is interested in the phases' dynami…
Graph Reinforcement Learning for Power Grids: A Comprehensive Survey
Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev +3
The increasing share of renewable energy and distributed electricity generation requires the development of deep learning approaches to address the lack of flexibility inherent in…
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-…
Anderson localization and saturable nonlinearity in one-dimensional disordered lattices
Ba Phi Nguyen, Kihong Kim
We investigate numerically the propagation and the Anderson localization of plane waves in a one-dimensional lattice chain, where disorder and saturable nonlinearity are simultaneo…