Search for tag: "vector"

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01:07:34 GSS20August2021_Hakim GSS20August2021_Hakim	GSS20August2021_Hakim pppl equations equation solution eigenvalues cell things scheme flux physics methods values problem thing function volume energy eigen vector matrix linear From PPPL Admins on August 23rd, 2021 0 likes 2 plays
56:10 GSS20August2021_Paul GSS20August2021_Paul	GSS20August2021_Paul pppl symmetry dot field strength lagrangian phi psi hm theta surface vector fields coordinates particle function direction times term expression flux From PPPL Admins on August 23rd, 2021 0 likes 2 plays
01:05:12 GSS18August2021_Hakim GSS18August2021_Hakim	GSS18August2021_Hakim pppl equations vector field vectors equation fields maxwell space things algebra paper physics solution methods surface speed mercury scheme fact thing From PPPL Admins on August 20th, 2021 0 likes 6 plays
01:25:36 Quantum Anomalous Hall Effect, Topological… Quantum Anomalous Hall Effect, Topological Magneto-electric Effect and Orbital Magnetism	Quantum Anomalous Hall Effect, Topological Magneto-electric Effect and Orbital Magnetism Allan H. MacDonald - The University of Texas at Austin hall potential effect magnetization energy layer edge field expression conductivity response band insulator surface gap bands difference valley conductance vector From prz prz-media on June 14th, 2021 0 likes 16 plays Date June 10th, 2021 Speaker Allan H. MacDonald - The University of Texas at Austin Department PRISM
01:25:00 Quantum Hall Effects in a Partially Full Landau… Quantum Hall Effects in a Partially Full Landau Level Quantized and Unquantized	Quantum Hall Effects in a Partially Full Landau Level Quantized and Unquantized Bertrand I. Halperin - Harvard University field energy wave gap electrons half fermi hall electron level fraction theory density function times integer vector interactions pi particles From prz prz-media on June 9th, 2021 0 likes 2 plays Date June 8th, 2021 Speaker Bertrand I. Halperin - Harvard University Department PRISM
02:59 Characterizing Biological Phase Separation With… Characterizing Biological Phase Separation With Predictive Approaches, Dylan Kim, UG '21 (2309371)	Characterizing Biological Phase Separation With Predictive Approaches, Dylan Kim, UG '21 (2309371) Biological phase separation is a thermodynamically driven behavior that dictates the formation of many critical membraneless bodies in the cell, including the nucleolus and stress granules. Because… phase separation organelles nucleolus stress granules thermodynamic membraneless support vector machine prd21 separation phase networks components model protein behavior proteins characteristics svm network context bodies systems membrane granules stress body cell From Research Princeton Research Day on April 29th, 2021 2 likes 51 plays Speaker Dylan Kim, UG '21 Department Chemistry
08:15 Yazdani Lab Tour Yazdani Lab Tour	Yazdani Lab Tour room sample helium microscope lab field vibration dilution chambers facility materials kind device tesla vector function transfer refrigerator temperature tip From Broadcast Broadcast Center Staff on March 16th, 2021 0 likes 174 plays
20:39 GSS_14Aug2020_ABrosius_student GSS_14Aug2020_ABrosius_student	GSS_14Aug2020_ABrosius_student wave waves ratio intervals field variance shape vector interval analysis angles frequencies cases distribution shock question venus plasma points frequency From PPPL Admins on January 3rd, 2021 0 likes 3 plays
01:00:52 GSS_12Aug20_AHakim GSS_12Aug20_AHakim	GSS_12Aug20_AHakim equations field maxwell equation energy vector methods thing things method eigenvalues scheme operator grad space problem linear velocity fields edges From PPPL Admins on January 3rd, 2021 0 likes 10 plays
59:11 SULI_16Jun2020_ADominguez SULI_16Jun2020_ADominguez	SULI_16Jun2020_ADominguez field plasma thing electron velocity temperature frequency boltzmann speed force charge omega electrons direction vector distribution times equilibrium ionization left From PPPL Admins on June 17th, 2020 0 likes 134 plays
04:48 Developing Models for Predictive Analytics in… Developing Models for Predictive Analytics in Track and Field	Developing Models for Predictive Analytics in Track and Field Track and field is a heavily statistics based sport as the objective nature of each event allows for simple comparisons of results. While these basic performance statistics have long been in use to… prd20 webinar 5/5 race athletes half analytics model times side predictions field track rankings screen vector lap runners splits distance models places predictor From Research Princeton Research Day on April 29th, 2020 2 likes 221 plays Date April 29th, 2020 Speaker Ashley Willingham '20 Department Operations Research and Financial Engineering
06:42 Artificially Intelligent Assistance in Empirical… Artificially Intelligent Assistance in Empirical Economics Research	Artificially Intelligent Assistance in Empirical Economics Research Conventional statistical programming languages (R, Stata, Julia, etc.) have long been popular tools in empirical economics research, but they are limited in two dimensions. First, querying a dataset… prd20 sort athena economics query language machine lags series syntax autoregression regression selection yada economists learning science computer criteria vector dataset From Research Princeton Research Day on April 29th, 2020 0 likes 62 plays Date April 29th, 2020 Speaker John Willett '20 Department Economics
04:46 The Path to Safe Fusion Energy through Deep… The Path to Safe Fusion Energy through Deep Learning	The Path to Safe Fusion Energy through Deep Learning San Diego Supercomputer Center Published on May 15, 2019 When the plasma inside a fusion reactor becomes unstable, there can be a release of energy that seriously damages the reactor. Key to… captions_8_6_2020 fusion plasma energy cancer methods gas cross domain tuning comparison apples hyperparameter variables tang professor machines vector learning prediction disruptions From Chris Cane on May 16th, 2019 0 likes 16 plays
34:04 Dimakis, Alex "Gans for Compressed Sensing… Dimakis, Alex "Gans for Compressed Sensing and Adversarial Defense" May 14, 2018	Dimakis, Alex "Gans for Compressed Sensing and Adversarial Defense" May 14, 2018 PCTS "Bridging Mathematical Optimization, Information Theory and Data Science" pcts bridging mathematical optimization information theory and data science alex dimakis generative adversarial networks captions_12_17_2020 measurements problem model image vector thing matrix images space linear algorithm sparsity function problems pixels gradient measurement lasso things network From Broadcast Broadcast Center Staff on May 22nd, 2018 0 likes 115 plays Date May 14th, 2018 Speaker Alex Dimakis Department PCTS Location 407 Jadwin
44:47 Bartlett, Peter "Optimization and… Bartlett, Peter "Optimization and Generalization Properties of Deep Neural Networks" May 14, 2018	Bartlett, Peter "Optimization and Generalization Properties of Deep Neural Networks" May 14, 2018 PCTS "Bridging Mathematical Optimization Information Theory and Data Science" pcts peter bartlett optimization and generalization properties of deep neural networks captions_12_17_2020 identity linear function functions things networks composition gradient matrix result network step matrices depth vector criterion thing condition sort instance From Broadcast Broadcast Center Staff on May 18th, 2018 0 likes 146 plays Date May 14th, 2018 Speaker Peter Bartlett Department PCTS Location 407 Jadwin