Essays about: "Spark Ablation"
Found 4 essays containing the words Spark Ablation.
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1. Nanoscale characterisation of model Ni-Mo catalyst active phases
University essay from Lunds universitet/Centrum för analys och syntesAbstract : An important stepping stone in transitioning from a fossil-fuel based transportation system is the production of bio-fuels such as bio-oils. For bio-oils to be commercially viable, catalytic upgrading via hydrodeoxygenation is required, typically using Ni-Mo oxide or sulfide catalysts. READ MORE
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2. The Effect of Electrode Composition on the Composition of Binary Ag/Au Nanoparticles Produced by Spark Ablation
University essay from Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionenAbstract : Synthesis of nanoparticles with high control of the particle composition, high purity and high throughput is of great interest for multiple applications such as catalysis, medicine, energy storage, sensoring, and electronics. As an alternative method to the traditionally used chemical synthesis routes, gas-phase methods have gained attention due to the avoidance of solvents resulting in higher purity of the particles, but also due to the more flexible choice of materials. READ MORE
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3. Designing a Performant Ablation Study Framework for PyTorch
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : PyTorch is becoming a really important library for any deep learning practitioner, as it provides many low-level functionalities that allow a fine-grained control of neural networks from training to inference, and for this reason it is also heavily used in deep learning research, where ablation studies are often conducted to validate neural architectures that researchers come up with. To the best of our knowledge, Maggy is the first open-source framework for asynchronous parallel ablation studies and hyperparameter optimization for TensorFlow, and in this work we added important functionalities such as the possibility to execute ablation studies on PyTorch models as well as the generalization of feature ablation on any data type. READ MORE
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4. Ablation Programming for Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As machine learning systems are being used in an increasing number of applications from analysis of satellite sensory data and health-care analytics to smart virtual assistants and self-driving cars they are also becoming more and more complex. This means that more time and computing resources are needed in order to train the models and the number of design choices and hyperparameters will increase as well. READ MORE
