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The physics of energy-based models
Quantum Machine Intelligence, 2022Energy-based models (EBMs) are experiencing a resurgence of interest in both the physics community and the machine learning community. This article provides an intuitive introduction to EBMs, without requiring any background in machine learning, connecting elementary concepts from physics with basic concepts and tools in generative models, and finally ...
Patrick Huembeli +4 more
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, 2021
This paper introduces a physically-based model to simulate interactions between a building and its outdoor conditions at the urban microscale. In the model, the building is simulated with EnergyPlus while its outdoor conditions are assessed from OpenFOAM.
Martin Miguel +8 more
semanticscholar +1 more source
This paper introduces a physically-based model to simulate interactions between a building and its outdoor conditions at the urban microscale. In the model, the building is simulated with EnergyPlus while its outdoor conditions are assessed from OpenFOAM.
Martin Miguel +8 more
semanticscholar +1 more source
Physically based modeling and rendering of avalanches
The Visual Computer, 2021Avalanche is a natural disaster in the snow-covered mountainous area in winter, which may cause great disasters to human life and property. It is also a danger for skiers and climbers. This paper presents a new physically based algorithm to simulate the dynamic avalanches under position-based dynamics framework.
Xincheng Liu +5 more
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A physically-based constitutive model for hot deformation of Ti-10-2-3 alloy
Journal of Alloys and Compounds, 2017Ravindranadh Bobbili, Vemuri Madhu
exaly +2 more sources
A Physically Based Colour Model
Computer Graphics Forum, 1991We propose an intuitively simple way of representing colour which has the additional virtue that, it permits mixing and overlaying of transparent and opaque paints to an arbitrary degree. Our approach is related to the earlier alpha channel model used for compositing.
Robert J. Oddy, Philip J. Willis
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Physics-based memristor models
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013In order to utilize memristors in circuits, one needs high-quality predictive models that can be used for simulations to act as a design aid. Whenever possible, we base our models on the known physics of the memristors we are using. To that end, we perform a wide range of materials characterizations and electronic measurements on which to base the ...
R. Stanley Williams +2 more
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Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2021
Physically-based landslide susceptibility models have been widely used to predict rainfall-triggered landslides. Calibration of these models is mainly conducted by tuning various inputs, but spatially varying soil properties are not considered.
Junyao Luo +5 more
semanticscholar +1 more source
Physically-based landslide susceptibility models have been widely used to predict rainfall-triggered landslides. Calibration of these models is mainly conducted by tuning various inputs, but spatially varying soil properties are not considered.
Junyao Luo +5 more
semanticscholar +1 more source
A novel physically-based model for updating landslide susceptibility
Engineering Geology, 2019A novel physically-based method for updating landslide susceptibility is presented in this paper, considering both spatial and cross correlations.
Haiyan Wang +4 more
semanticscholar +1 more source
Physics-based models for photonic thermometers
Sensors and Actuators A: Physical, 2022Resistance thermometry, meticulously developed over the last century, provides a time-tested method for taking temperature measurements. However, fundamental limits to resistance-based approaches along with a desire to reduce the cost of sensor ownership, increase sensor stability and meet the growing needs of emerging economy has produced considerable
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Physically Based Modeling and Control of Turning
CVGIP: Graphical Models and Image Processing, 1993Abstract Turning plays an important role in activities such as skiing and bicycling. The act of turning requires steering, which performs two functions: changing the direction of motion and ensuring that balance is maintained. We analyze and control turning motions for a simple physical model.
Michiel van de Panne +2 more
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