89 skills found · Page 1 of 3
Battery-Intelligence-Lab / SLIDESLIDE is C++ code that simulates degradation of lithium ion cells. It extends the single particle model with various degradation models from literature. Users can select which degradation models they want to use for a given simulation.
davidhowey / Spectral Li Ion SPMSpectral li-ion SPM is a MATLAB code that solves the so-called lithium-ion battery Single Particle Model (SPM) using spectral numerical methods.
scott-moura / SPMeTSingle Particle Model with Electrolyte and Temperature: An electrochemical battery model
FrankSuperG / CPG SPMTCPG-SPMT: Control-oriented Parameter-Grouped Single Particle Model with Thermal effects
ComputationalCryoEM / ASPIRE PythonAlgorithms for Single Particle Reconstruction
EnnaSachdeva / Recurrent Multiagent Deep Deterministic Policy Gradient With Difference RewardsDeep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single agent tasks. These methods have further been extended to multiagent domains in cooperative, competitive or mixed environments. This paper primarily focuses on multiagent cooperative settings which can be modeled for several real world problems such as coordination of autonomous vehicles and warehouse robots. However, these systems suffer from several challenges such as, structural credit assignment and partial observability. In this paper, we propose Recurrent Multiagent Deep Deterministic Policy Gradient (RMADDPG) algorithm which extends Multiagent Deep Determinisitic Policy Gradient algorithm - MADDPG \cite{lowe2017multi} by using a recurrent neural network for the actor policy. This helps to address partial observability by maintaining a sequence of past observations which networks learn to preserve in order to solve the POMDP. In addition, we use reward shaping through difference rewards to address structural credit assignment in a partially observed environment. We evaluate the performance of MADDPG and R-MADDPG with and without reward shaping in a Multiagent Particle Environment. We further show that reward shaped RMADDPG outperforms the baseline algorithm MADDPG in a partially observable environmental setting.
I2PC / Xmipp3Xmipp is a suite of image processing programs, primarily aimed at single-particle 3D electron microscopy.
dhudsmith / SchrodA simple, accurate, and fast module for solving the single particle Schrodinger equation.
matthewpklein / BattsimpyA python package for simulating Lithium-ion battery performance. Equivalent circuit, Single-Particle, and full Pseudo-2D models are available.
nagualdesign / Primordial Particle SystemA single-page HTML canvas/JavaScript implementation of the Primordial Particle System by Thomas Schmickl & Martin Stefanec of Graz University, Austria. For an introduction watch: https://www.youtube.com/watch?v=makaJpLvbow
ics-creative / Project Particle DevelopParticle Develop's project source code. This is HTML5 Design Tool such as Single Page Application.
xtreme-d / Relion Tutorial SimplifiedSimplified version of "Single-particle processing in RELION-3.0" tutorial.
keitaroyam / ServalcatStructure refinement and validation for crystallography and single particle analysis
leschzinerlab / RelionScripts for using the Relion package for single particle cryo-electron microscopy (cryo-EM)
hael / SIMPLESIMPLE 4.0: Computational Environment for Electron Microscopy Methods Development
IronistM / Modern Optimization With Rcode from the s/t book which goal is to gather in a single document the most relevant concepts related to modern optimization methods or metaheuristics (e.g. simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization), showing how such concepts and methods can be addressed using the open source R tool.
omair-khalid / Target Tracking Algorithms Detailed Comparison And ImplementationExplored and implemented in detail the solutions of (single/multiple) target-tracking problems under the Bayesian framework, and demonstrated the workings of Kalman filters, EKF, Gaussian Filter, PHD Filter, and Particle Filter through simulations.
halolimat / Clocacits:wrench: :honeybee: A set of classes implementing single- and multi-objective Particle Swarm Optimization techniques for Cloudlet scheduling and WSN Localization optimizations. This code is part of the thesis titled "Optimizing Cloudlet Scheduling and Wireless Sensor Localization using Computational Intelligence Techniques", by Hussein S. Al-Olimat at UT.
Rookfighter / Pso CppA single header-only C++ library for particle swarm optimization.
cidetec-energy-storage / PINN SPM Fast PrototypingPhysics-informed neural network trained to provide the evolution of lithium concentration in active material particles in both electrodes during a discharge process as well as the discharge curve of the full battery, based on the Single Particle Model.