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1
AI Feynman: A physics-inspired method for symbolic regression
AI Feynman: A physics-inspired method for symbolic regression
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AI Feynman: A physics-inspired method for symbolic regression

Science advances, 2020-04, Vol.6 (16), p.eaay2631-eaay2631 [Peer Reviewed Journal]

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). ;Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2020 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aay2631 ;PMID: 32426452

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2
Nanophotonic particle simulation and inverse design using artificial neural networks
Nanophotonic particle simulation and inverse design using artificial neural networks
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Nanophotonic particle simulation and inverse design using artificial neural networks

Science advances, 2018-06, Vol.4 (6), p.eaar4206-eaar4206 [Peer Reviewed Journal]

Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2018 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aar4206 ;PMID: 29868640

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3
Wave physics as an analog recurrent neural network
Wave physics as an analog recurrent neural network
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Wave physics as an analog recurrent neural network

Science advances, 2019-12, Vol.5 (12), p.eaay6946-eaay6946 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). ;Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aay6946 ;PMID: 31903420

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4
A unified vegetation index for quantifying the terrestrial biosphere
A unified vegetation index for quantifying the terrestrial biosphere
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A unified vegetation index for quantifying the terrestrial biosphere

Science advances, 2021-02, Vol.7 (9) [Peer Reviewed Journal]

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). ;Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2021 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abc7447 ;PMID: 33637524

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5
The accuracy, fairness, and limits of predicting recidivism
The accuracy, fairness, and limits of predicting recidivism
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The accuracy, fairness, and limits of predicting recidivism

Science advances, 2018-01, Vol.4 (1), p.eaao5580-eaao5580 [Peer Reviewed Journal]

Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2018 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aao5580 ;PMID: 29376122

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6
Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems
Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems
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Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems

Science advances, 2019-04, Vol.5 (4), p.eaav2372-eaav2372 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aav2372 ;PMID: 31016238

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7
Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials
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Machine learning-assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials

Science advances, 2019-11, Vol.5 (11), p.eaay4275-eaay4275 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). ;Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aay4275 ;PMID: 31723607

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8
The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning
The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning
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The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning

Science advances, 2022-05, Vol.8 (18), p.eabk2607-eabk2607 [Peer Reviewed Journal]

Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). 2022 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abk2607 ;PMID: 35507657

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9
Experimental investigation of performance differences between coherent Ising machines and a quantum annealer
Experimental investigation of performance differences between coherent Ising machines and a quantum annealer
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Experimental investigation of performance differences between coherent Ising machines and a quantum annealer

Science advances, 2019-05, Vol.5 (5), p.eaau0823-eaau0823 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aau0823 ;PMID: 31139743

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10
In-memory computing on a photonic platform
In-memory computing on a photonic platform
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In-memory computing on a photonic platform

Science advances, 2019-02, Vol.5 (2), p.eaau5759-eaau5759 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aau5759 ;PMID: 30793028

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11
Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics
Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics
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Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics

Science advances, 2021-02, Vol.7 (7) [Peer Reviewed Journal]

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). ;Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2021 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abe5683 ;PMID: 33579699

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12
100,000-spin coherent Ising machine
100,000-spin coherent Ising machine
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100,000-spin coherent Ising machine

Science advances, 2021-10, Vol.7 (40), p.eabh0952-eabh0952 [Peer Reviewed Journal]

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2021 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abh0952 ;PMID: 34586855

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13
Terahertz electrical writing speed in an antiferromagnetic memory
Terahertz electrical writing speed in an antiferromagnetic memory
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Terahertz electrical writing speed in an antiferromagnetic memory

Science advances, 2018-03, Vol.4 (3), p.eaar3566-eaar3566 [Peer Reviewed Journal]

Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2018 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aar3566 ;PMID: 29740601

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14
A network approach to topic models
A network approach to topic models
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A network approach to topic models

Science advances, 2018-07, Vol.4 (7), p.eaaq1360-eaaq1360 [Peer Reviewed Journal]

Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2018 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aaq1360 ;PMID: 30035215

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15
Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural network
Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural network
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Accurate and transferable multitask prediction of chemical properties with an atoms-in-molecules neural network

Science advances, 2019-08, Vol.5 (8), p.eaav6490-eaav6490 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2019 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aav6490 ;PMID: 31448325

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16
Analyses of internal structures and defects in materials using physics-informed neural networks
Analyses of internal structures and defects in materials using physics-informed neural networks
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Analyses of internal structures and defects in materials using physics-informed neural networks

Science advances, 2022-02, Vol.8 (7), p.eabk0644-eabk0644 [Peer Reviewed Journal]

Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). 2022 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abk0644 ;PMID: 35171670

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17
Deep reinforcement learning for de novo drug design
Deep reinforcement learning for de novo drug design
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Deep reinforcement learning for de novo drug design

Science advances, 2018-07, Vol.4 (7), p.eaap7885-eaap7885 [Peer Reviewed Journal]

Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2018 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.aap7885 ;PMID: 30050984

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18
Quantum computational advantage via high-dimensional Gaussian boson sampling
Quantum computational advantage via high-dimensional Gaussian boson sampling
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Quantum computational advantage via high-dimensional Gaussian boson sampling

Science advances, 2022-01, Vol.8 (1), p.eabi7894-eabi7894 [Peer Reviewed Journal]

Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2022 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abi7894 ;PMID: 34985960

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19
Easing the Monte Carlo sign problem
Easing the Monte Carlo sign problem
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Easing the Monte Carlo sign problem

Science advances, 2020-08, Vol.6 (33), p.eabb8341-eabb8341 [Peer Reviewed Journal]

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). ;Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2020 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.abb8341 ;PMID: 32851184

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20
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
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SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Science advances, 2023-10, Vol.9 (40), p.eadi1480-eadi1480 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). 2023 The Authors ;ISSN: 2375-2548 ;EISSN: 2375-2548 ;DOI: 10.1126/sciadv.adi1480 ;PMID: 37801497

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