Yao Wang

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Assistant Professor

Clemson University

United States

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About

Dr. Yao Wang is an Assistant Professor at Clemson University in the United States. His research encompasses areas such as thermodynamic phase transitions, superconductivity in cuprates, and quantum dynamics, as evidenced by his recent publications. He employs advanced machine learning techniques and solid-state spectroscopy to explore complex quantum phenomena and their applications in molecular electronic structures.

Recent Grants

Grant: Open

Analog Quantum Simulation for Solid-State Spectroscopies

Open Date: 2022-07-01

Close Date: 2027-06-30

Grant: Close

EAGER:SUPER: Optically-enhanced superconductivity in hydrogen-based materials

Open Date: 2021-08-01

Close Date: 2023-07-31

Grant: Close

EAGER-QAC-QSA: Quantum Algorithms for Correlated Electron-Phonon System

Open Date: 2021-01-01

Close Date: 2022-12-31

Articles (28)

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Collaborators (13)

Vivek Dixit

Clemson University

UNITED STATES

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Maciej Wielgosz

Assistant Professor

AGH University of Science and Technology

POLAND

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Fang Liu

Assistant Professor

Emory University

UNITED STATES

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Carmine Senatore

Associate Professor

University of Geneva

SWITZERLAND

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Mohammad Yazdani-Asrami

Lecturer in Electrically Powered Aircraft and Operations

University of Glasgow

UNITED KINGDOM

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Dominic Moseley

Victoria University of Wellington

NEW ZEALAND

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Andrzej Skoczen

assistant professor

POLAND

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Antonio Morandi

University of Bologna

ITALY

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Anabela Pronto

Universidade de Aveiro

PORTUGAL

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Haowei Xu

Massachusetts Institute of Technology

UNITED STATES

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Dimitrios Tzelepis

University Of Strathclyde

UNITED KINGDOM

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YU He

University of California, Berkeley

UNITED STATES

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T. Bagni

Uppsala University

SWEDEN

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Yao Wang

Research Interests

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About

Recent Grants

Articles (28)

Detecting thermodynamic phase transition via explainable machine learning of photoemission spectroscopy

Doping Dependence of 2-Spinon Excitations in the Doped 1D Cuprate Ba2CuO3+δ

Interplay between hole superconductivity and quantum critical antiferromagnetic fluctuations in electron-doped cuprates

Entanglement Witness for Indistinguishable Electrons Using Solid-State Spectroscopy

Using magnetic dynamics to measure the spin gap in a candidate Kitaev material

Sampling electronic Fock states using determinant quantum Monte Carlo

Chatbot-assisted quantum chemistry for explicitly solvated molecules

Approaching coupled-cluster accuracy for molecular electronic structures with multi-task learning

Signatures of the attractive interaction in spin spectra of one-dimensional cuprate chains

Charge density wave state in extremely overdoped cuprates driven by phonons

Roadmap on Artificial intelligence and big data techniques for superconductivity

Roadmap on artificial intelligence and big data techniques for superconductivity

Enhanced superconductivity by near-neighbor attraction in the doped extended Hubbard model

The spontaneous symmetry breaking in Ta2NiSe5 is structural in nature

Tunable Van Hove Singularity without Structural Instability in Kagome Metal CsTi3Bi5

Witnessing light-driven entanglement using time-resolved resonant inelastic X-ray scattering

A Novel Hybrid Quantum-Classical Framework for an In-Vehicle Controller Area Network Intrusion Detection

A hybrid quantum-classical method for electron-phonon systems

A hybrid quantum-classical method for electron-phonon systems

Enhanced superconductivity by near-neighbor attraction in the doped extended Hubbard model

Prevailing Charge Order in Overdoped La2-xSrxCuO4 beyond the Superconducting Dome

Role of electron-phonon coupling in excitonic insulator candidate Ta<sub>2</sub>NiSe<sub>5</sub>

Role of electron-phonon coupling in excitonic insulator candidate Ta2NiSe5

Challenges and Opportunities of Machine Learning on Neutron and X-ray Scattering

Determinantal quantum Monte Carlo solver for cluster perturbation theory

Dispersionless orbital excitations in (Li,Fe)OHFeSe superconductors

Electronic nature of the pseudogap in electron-doped Sr2IrO4

Machine learning magnetism classifiers from atomic coordinates

Collaborators (13)

Vivek Dixit

Maciej Wielgosz

Fang Liu

Carmine Senatore

Mohammad Yazdani-Asrami

Dominic Moseley

Andrzej Skoczen

Antonio Morandi

Anabela Pronto

Haowei Xu

Dimitrios Tzelepis

YU He

T. Bagni

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