Authors: Muniz, Maria Carolina
Contributors: Car, Roberto, Panagiotopoulos, Athanassios
Subject Terms: machine learning models, molecular simulations, water, many-body potential
Authors: Nicola Barbosa Muniz, Maria Carolina
Contributors: Mathur, Reha, Yue, Shuwen, Car, Roberto, Panagiotopoulos, Athanassios
Subject Terms: machine-learning potentials, carbon dioxide
Relation: R. Mathur, M. C. Muniz, S. Yue, R. Car and A. Z. Panagiotopoulos. First-principles-based Machine Learning Models for Phase Behavior and Transport Properties of CO2. Submitted to Journal of Physical Chemistry B. (2023) Link to the article will be added upon publication.; https://doi.org/10.34770/3sr4-5g77; http://arks.princeton.edu/ark:/88435/dsp01dj52w794k
Subject Terms: water, ice, second critical point, machine learning potential, density-functional theory, melting curve, polymorphism, liquid-liquid transition
Relation: https://github.com/PabloPiaggi/mishima-melting-lines-2023; http://arks.princeton.edu/ark:/88435/dsp01gt54kr255; https://doi.org/10.34770/pbja-we49; https://app.globus.org/file-manager?destination_id=dc43f461-0ca7-4203-848c-33a9fc00a464&destination_path=%2Fpbja-we49%2F
Authors: Thiele, Leander Friedrich
Contributors: Spergel, David N, Physics Department
Subject Terms: cosmology, galaxy clustering, machine learning, weak gravitational lensing, Physics, Astrophysics
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp011z40kx15b
Contributors: Mugnier, Heloise, Upadhya, Rahul, Murthy, N. Sanjeeva
Subject Terms: Polymer, Machine Learning, Protein, Enzyme
Relation: https://doi.org/10.1002/adma.202201809; https://doi.org/10.1039/D1ME00160D; http://arks.princeton.edu/ark:/88435/dsp01s1784p89m; https://doi.org/10.34770/h938-nn26
Authors: Piaggi, Pablo
Contributors: Weis, Jack, Panagiotopoulos, Athanassios, Debenedetti, Pablo, Car, Roberto
Subject Terms: molecular simulation, water, ice, nucleation, machine learning, ab initio
Subject Geographic: New Jersey, USA, start=2021:01-01, end=2022:04-01
Relation: https://arxiv.org/abs/2203.01376; http://arks.princeton.edu/ark:/88435/dsp01x633f4197; https://app.globus.org/file-manager?destination_id=dc43f461-0ca7-4203-848c-33a9fc00a464&destination_path=%2Fxrd9-3d18%2F; https://doi.org/10.34770/xrd9-3d18
Authors: Webb, Michael, Patel, Roshan, Borca, Carlos
Subject Terms: Machine Learning, Protein, Molecular Simulation, Molecular Dynamics
Relation: https://doi.org/10.1039/D1ME00160D; http://arks.princeton.edu/ark:/88435/dsp01765374506; https://doi.org/10.34770/chzn-mj42
Authors: Shousha, Ricardo
Contributors: Kolemen, Egemen, Mechanical and Aerospace Engineering Department
Subject Terms: Control, ELM, Machine Learning, Real-time, Reconstruction, Tokamak, Mechanical engineering, Artificial intelligence, Applied physics
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp016h440w77q
Authors: Stone, Iris Reid
Contributors: PillowWitten, JonathanIlana WB, Neuroscience Department
Subject Terms: behavioral neuroscience, decision-making, dynamical systems, machine learning, statistical modeling, systems neuroscience, Neurosciences, Computer science, Mathematics
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01tb09j898r
Authors: Liu, Sulin
Contributors: AdamsRamadge, Ryan PPeter, Electrical and Computer Engineering Department
Subject Terms: Bayesian optimization, generative models, knowledge discovery, probabilistic machine learning, Artificial intelligence
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01kw52jc38v
Authors: Dorkenwald, Sven
Contributors: Seung, H. Sebastian, Computer Science Department
Subject Terms: Connectomics, Database, Drosophila, Graph, Machine Learning, Computer science, Neurosciences
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01g445ch46q
Authors: Battleday, Ruairidh McLennan
Contributors: Griffiths, Thomas L, Computer Science Department
Subject Terms: Bayesian inference, Behavior, Classification, Generalization, Machine learning, Statistical modeling, Artificial intelligence, Psychology, Statistics
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp016w924g13v
Authors: Ekpo, Promise Osaine
Contributors: Fisac, Jaime F, Computer Science Department
Subject Terms: AI safety, Human-computer interaction, large language models, Machine learning, Natural language processing, Reinforcement learning, Computer science, Artificial intelligence
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp017m01bp99j
Authors: Yang, John Boda
Contributors: NarasimhanChen, KarthikDanqi, Computer Science Department
Subject Terms: Computer Science, Deep Learning, Machine Learning, Natural Language Processing, Artificial intelligence, Web studies
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01ns064933x
Authors: Pan, Jane
Contributors: Chen, Danqi, Computer Science Department
Subject Terms: in-context learning, large language models, machine learning, natural language processing, Computer science
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01ms35tc92q
Authors: Perroni-Scharf, Maxine Alexandra
Contributors: Rusinkiewicz, Szymon, Computer Science Department
Subject Terms: 3D printing, fabrication, machine learning, optimization, Computer science
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp018k71nm389
Authors: Madhushani, Udari
Contributors: Leonard, Naomi, Mechanical and Aerospace Engineering Department
Subject Terms: Artificial Intelligence, Efficient Communication, Machine Learning, Multi-agent Learning, Reinforcement Learning, Social Dilemmas, Computer science, Mechanical engineering, Computer engineering
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01zk51vm03s
Authors: Sehwag, Vikash
Contributors: MittalChiang, PrateekMung, Electrical and Computer Engineering Department
Subject Terms: Adversarial Robustness, Artificial Intelligence Safety, Deep Neural Networks, Generative Artificial Intelligence, Privacy Risks, Trustworthy Machine Learning, Computer engineering, Electrical engineering, Computer science
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01dr26z164m
Authors: Yang, Yucheng
Contributors: ViolanteE, GianlucaWeinan, Applied and Computational Mathematics Department
Subject Terms: Deep learning, Heterogenenous agent model, Knowledge graph, Machine learning, Monetary policy, Optimal policy, Economics, Artificial intelligence, Applied mathematics
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01w0892f19v
Authors: Nicola Barbosa Muniz, Maria Carolina
Contributors: PanagiotopoulosCar, AthanassiosRoberto, Chemical and Biological Engineering Department
Subject Terms: Fluid Phase Behavior, Machine Learning Potentials, Molecular Simulations, Statistical Mechanics, Chemical engineering
File Description: application/pdf
Availability: http://arks.princeton.edu/ark:/88435/dsp01nk322h596