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I

Isaac Tamblyn

Ontario Tech University

26H-index
143Paper Count
2.4KCitation Count
Published Papers 37
Publication Date
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High-entropy alloy electrocatalysts screened using machine learning informed by quantum-inspired similarity analysis
errMATTER
IF17.5
err2024-11-01
err0
PREAI
errChang, Yuxin; Benlolo, Ian; Bai, Yang; Reimer, Christoff; Zhou, Daojin; Zhang, Hengrui; Matsumura, Hidetoshi; Choubisa, Hitarth; Li, Xiao-Yan; Chen, Wei; Ou, Pengfei; Tamblyn, Isaac; Sargent, Edward H.
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Learning stochastic dynamics and predicting emergent behavior using transformers
errNATURE COMMUNICATIONS
IF15.7
err2024-02-29
err1
errOAAI
errCasert, Corneel; Tamblyn, Isaac; Whitelam, Stephen
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errSave
ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry
errDIGITAL DISCOVERY
IF5.6
err2024-01-01
err1
errOAAI
errBeeler, Chris; Subramanian, Sriram Ganapathi; Sprague, Kyle; Baula, Mark; Chatti, Nouha; Dawit, Amanuel; Li, Xinkai; Paquin, Nicholas; Shahen, Mitchell; Yang, Zihan; Bellinger, Colin; Crowley, Mark; Tamblyn, Isaac
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Interpretable discovery of semiconductors with machine learning
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2023-06-29
err18
errOAAI
errChoubisa, Hitarth; Todorovic, Petar; Pina, Joao M. M.; Parmar, Darshan H.; Li, Ziliang; Voznyy, Oleksandr; Tamblyn, Isaac; Sargent, Edward H.
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errSave
Training neural networks using Metropolis Monte Carlo and an adaptive variant
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2022-12-19
err5
errOAAI
errWhitelam, Stephen; Selin, Viktor; Benlolo, Ian; Casert, Corneel; Tamblyn, Isaac
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errSave
Machine-Learning-Driven High-Entropy Alloy Catalyst Discovery to Circumvent the Scaling Relation for CO2 Reduction Reaction
errACS CATALYSIS
IF13.1
err2022-11-22
err43
PREAI
errChen, Zhi Wen; Gariepy, Zachary; Chen, Lixin; Yao, Xue; Anand, Abu; Liu, Szu-Jia; Feugmo, Conrard Giresse Tetsassi; Tamblyn, Isaac; Singh, Chandra Veer
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Machine Learning Diffusion Monte Carlo Energies
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2022-11-01
err11
errOAAI
errRyczko, Kevin; Krogel, Jaron T.; Tamblyn, Isaac
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errSave
Twin neural network regression is a semi-supervised regression algorithm
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2022-10-20
err6
errOAAI
errWetzel, Sebastian J.; Melko, Roger G.; Tamblyn, Isaac
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errSave
High-Throughput Evaluation of Emission and Structure in Reduced-Dimensional Perovskites
errACS CENTRAL SCIENCE
IF10.4
err2022-05-06
err6
errOAAI
errAnwar, Husna; Johnston, Andrew; Mahesh, Suhas; Singh, Kamalpreet; Wang, Zhibo; Kuntz, Douglas A.; Tamblyn, Isaac; Voznyy, Oleksandr; Prive, Gilbert G.; Sargent, Edward H.
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Deep learning and crystal plasticity: A preconditioning approach for accurate orientation evolution prediction
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2022-02-01
err16
errOAAI
errSaidi, Peyman; Pirgazi, Hadi; Sanjari, Mehdi; Tamimi, Saeed; Mohammadi, Mohsen; Beland, Laurent K.; Daymond, Mark R.; Tamblyn, Isaac
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errSave
Toward Orbital-Free Density Functional Theory with Small Data Sets and Deep Learning
errJOURNAL OF CHEMICAL THEORY AND COMPUTATION
IF5.5
err2022-01-07
err29
errOAAI
errRyczko, Kevin; Wetzel, Sebastian J.; Melko, Roger G.; Tamblyn, Isaac
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errSave
Correspondence between neuroevolution and gradient descent
errNATURE COMMUNICATIONS
IF15.7
err2021-11-02
err10
errOAAI
errWhitelam, Stephen; Selin, Viktor; Park, Sang-Won; Tamblyn, Isaac
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errSave
Unsupervised hyperspectral stimulated Raman microscopy image enhancement: denoising and segmentation via one-shot deep learning
errOPTICS EXPRESS
IF3.3
err2021-10-05
err15
errOAAI
errAbdolghader, Pedram; Ridsdale, Andrew; Grammatikopoulos, Tassos; Resch, Gavin; Legare, Francois; Stolow, Albert; Pegoraro, Adrian F.; Tamblyn, Isaac
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errSave
Optical lattice experiments at unobserved conditions with generative adversarial deep learning
errPHYSICAL REVIEW RESEARCH
IF4.2
err2021-09-20
err2
errOAAI
errCasert, Corneel; Mills, Kyle; Vieijra, Tom; Ryckebusch, Jan; Tamblyn, Isaac
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errSave
Neural evolution structure generation: High entropy alloys
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2021-07-22
err10
errOAAI
errTetsassi Feugmo, Conrard Giresse; Ryczko, Kevin; Anand, Abu; Singh, Chandra Veer; Tamblyn, Isaac
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errSave
Scientific intuition inspired by machine learning-generated hypotheses
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2021-04-14
err30
errOAAI
errFriederich, Pascal; Krenn, Mario; Tamblyn, Isaac; Aspuru-Guzik, Alan
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errSave
Watch and learn-a generalized approach for transferrable learning in deep neural networks via physical principles
errMACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF4.6
err2021-02-03
err4
errOAAI
errSprague, Kyle; Carrasquilla, Juan; Whitelam, Stephen; Tamblyn, Isaac
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errSave
Golem: an algorithm for robust experiment and process optimization
errCHEMICAL SCIENCE
IF7.4
err2021-01-01
err19
errOAAI
errAldeghi, Matteo; Hase, Florian; Hickman, Riley J.; Tamblyn, Isaac; Aspuru-Guzik, Alan
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errSave
Inverse Design of a Graphene-Based Quantum Transducer via Neuroevolution
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2020-11-18
err8
errOAAI
errRyczko, Kevin; Darancet, Pierre; Tamblyn, Isaac
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errSave
Adversarial Generation of Mesoscale Surfaces from Small-Scale Chemical Motifs
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2020-09-24
err8
PREAI
errMills, Kyle; Casert, Corneel; Tamblyn, Isaac
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
E
Edward H. Sargent
H-index: 213 · Papers: 1.2K
A
Alán Aspuru‐Guzik
H-index: 114 · Papers: 933
O
Oleksandr Voznyy
H-index: 101 · Papers: 290
J
Jeffrey B. Neaton
H-index: 97 · Papers: 744
N
Neil R. Champness
H-index: 86 · Papers: 867
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