1. Superconductivity and Pronounced Electron-Phonon Coupling in Rock-Salt Al1-xO1-x and Ti1-xO1-x,
    Pjotrs Zguns, Nuh Gedik, Bilge Yildiz and Ju Li, Advanced Electronic Materials (2024) 2400141.

  2. Can ChatGPT be used to generate scientific hypotheses?
    Yang Jeong Park, Daniel Kaplan, Zhichu Ren, Chia-Wei Hsu, Changhao Li, Haowei Xu, Sipei Li and Ju Li, J. Materiomics 10 (2024) 578-584.

  3. Machine learning for CO2 capture and conversion: A review,
    Sung Eun Jerng, Yang Jeong Park and Ju Li, Energy and AI 16 (2024) 100361.

  4. Machine learning traction force maps for contractile cell monolayers,
    Changhao Li, Luyi Feng, Yang Jeong Park, Jian Yang, Ju Li and Sulin Zhang, Extreme Mechanics Letters 68 (2024) 102150.

  5. Exponentially Enhanced Non-Hermitian Cooling,
    Haowei Xu, Uros Delic, Guoqing Wang, Changhao Li, Paola Cappellaro and Ju Li, Physical Review Letters 132 (2024) 110402.

  6. μeV-Deep Neutron Bound States in Nanocrystals,
    Hao Tang, Guoqing Wang, Paola Cappellaro and Ju Li, ACS Nano 18 (2024) 9063-9070.

    Study shows neutrons can bind to nanoscale atomic clusters known as quantum dots. The finding may provide insights into material properties and quantum effects by David L. Chandler | MIT News Office.

  7. CRESt – Copilot for Real-world Experimental Scientist,
    Zhichu Ren, Zhen Zhang, Yunsheng Tian and Ju Li, chemrxiv-2023-tnz1x (2023).

  8. Autonomous experiments using active learning and AI,
    Zhichu Ren, Zekun Ren, Zhen Zhang, Tonio Buonassisi and Ju Li, Nature Reviews Materials 8 (2023) 563–564.

  9. Characterizing Temperature and Strain Variations with Qubit Ensembles for Their Robust Coherence Protection,
    Guoqing Wang, Ariel Rebekah Barr, Hao Tang, Mo Chen, Changhao Li, Haowei Xu, Andrew Stasiuk, Ju Li and Paola Cappellaro, Physical Review Letters 131 (2023) 043602.
    Cancelling noise for improving quantum devices by Peter Reuell.

  10. Manipulating solid-state spin concentration through charge transport,
    Guoqing Wang, Changhao Li, Hao Tang, Boning Li, Francesca Madonini, Faisal F. Alsallom, Won Kyu Calvin Sun, Pai Peng, Federica Villa, Ju Li and Paola Cappellaro, PNAS 120 (2023) e2305621120.
    Sensing and controlling microscopic spin density in materials by David L. Chandler | MIT News Office.

  11. Robust deep learning framework for constitutive relations modeling,
    Qing-Jie Li, Mahmut Nedim Cinbiz, Yin Zhang, Qi He, Geoffrey Beausoleil and Ju Li, Acta Materialia 254 (2023) 118959.

  12. Can ChatGPT be used to generate scientific hypotheses?
    Yang Jeong Park, Daniel Kaplan, Zhichu Ren, Chia-Wei Hsu, Changhao Li, Haowei Xu, Sipei Li and Ju Li, arXiv:2304.12208 (2023).

  13. Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems,
    Min-Kyu Song, Ji-Hoon Kang, Xinyuan Zhang, Wonjae Ji, Alon Ascoli, Ioannis Messaris, Ahmet Samil Demirkol, Bowei Dong, Samarth Aggarwal, Weier Wan, Seok-Man Hong, Suma George Cardwell, Irem Boybat, Jae-sun Seo, Jang-Sik Lee, Mario Lanza, Hanwool Yeon, Murat Onen, Ju Li, Bilge Yildiz, Jesus A. del Alamo, Seyoung Kim, Shinhyun Choi, Gianluca Milano, Carlo Ricciardi, Lambert Alff, Yang Chai, Zhongrui Wang, Harish Bhaskaran, Mark C. Hersam, Dmitri Strukov, H.-S. Philip Wong, Ilia Valov, Bin Gao, Huaqiang Wu, Ronald Tetzlaff, Abu Sebastian, Wei Lu, Leon Chua, J. Joshua Yang, and Jeehwan Kim, ACS Nano 17 (2023) 11994-12039.

  14. Communication-Efficient Quantum Algorithm for Distributed Machine Learning,
    Hao Tang, Boning Li, Guoqing Wang, Haowei Xu, Changhao Li, Ariel Barr, Paola Cappellaro and Ju Li, Physical Review Letters 130 (2023) 150602.

  15. Thousands of conductance levels in memristors integrated on CMOS,
    Mingyi Rao, Hao Tang, Jiangbin Wu, Wenhao Song, Max Zhang, Wenbo Yin, Ye Zhuo, Fatemeh Kiani, Benjamin Chen, Xiangqi Jiang, Hefei Liu, Hung-Yu Chen, Rivu Midya, Fan Ye, Hao Jiang, Zhongrui Wang, Mingche Wu, Miao Hu, Han Wang, Qiangfei Xia, Ning Ge, Ju Li and J. Joshua Yang, Nature 615 (2023) 823.

  16. Electrochemical Ionic Synapses: Progress and Perspectives,
    Mantao Huang, Miranda Schwacke, Murat Onen, Jesús del Alamo, Ju Li and Bilge Yildiz, Advanced Materials (2023) 2205169.

  17. Towards universal neural network interatomic potential,
    So Takamoto, Daisuke Okanohara, Qing-Jie Li and Ju Li, Journal of Materiomics 9 (2023) 447-454.

    Video: LBL MaterialsProject Seminar, A Universal Empirical Interatomic Potential, June 29, 2023.

  18. Laser Cooling of Nuclear Magnons,
    Haowei Xu, Guoqing Wang, Changhao Li, Hua Wang, Hao Tang, Ariel Rebekah Barr, Paola Cappellaro and Ju Li, Physical Review Letters 130 (2023) 063602.

  19. Two-Photon Interface of Nuclear Spins Based on the Optonuclear Quadrupolar Effect,
    Haowei Xu, Changhao Li, Guoqing Wang, Hua Wang, Hao Tang, Ariel Rebekah Barr, Paola Cappellaro and Ju Li, Physical Review X 13 (2023) 011017.
    Engineers discover a new way to control atomic nuclei as “qubits” by David L. Chandler | MIT News Office.

  20. First-Principles Calculation of the Temperature-Dependent Transition Energies in Spin Defects,
    Hao Tang, Ariel Rebekah Barr, Guoqing Wang, Paola Cappellaro and Ju Li, J. Phys. Chem. Lett. 14 (2023) 3266-3273.

  21. Dynamics of PSG-Based Nanosecond Protonic Programmable Resistors for Analog Deep Learning ,
    M. Onen, J. Li, B. Yildiz, and J. A. del Alamo, International Electron Devices Meeting IEDM 125 (2022) 10.1109/IEDM45625.2022.10019365.

  22. Nanosecond protonic programmable resistors for analog deep learning,
    Murat Onen, Nicolas Emond, Baoming Wang, Difei Zhang, Frances M. Ross, Ju Li, Bilge Yildiz and Jesus A. del Alamo, Science 377 (2022) 539-543.
    New hardware offers faster computation for artificial intelligence, with much less energy by Adam Zewe | MIT News Office.

  23. Materials Genomics Search for Possible Helium-Absorbing Nano-Phases in Fusion Structural Materials,
    Haowei Xu, So Yeon Kim, Di Chen, Jean-Phillippe Monchoux, Thomas Voisin, Cheng Sun and Ju Li, Advanced Science (2022) 2203555.

  24. High accuracy neural network interatomic potential for NiTi shape memory alloy,
    Hao Tang, Yin Zhang, Qing-Jie Li, Haowei Xu, Yuchi Wang, Yunzhi Wang and Ju Li, Acta Materialia 238 (2022) 118217.

  25. Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning,
    Jiahuan Lu, Rui Xiong, Jinpeng Tian, Chenxu Wang, Chia-Wei Hsu, Nien-Ti Tsou, Fengchun Sun and Ju Li, Energy Storage Materials 50 (2022) 139-151.

  26. Learning constitutive relations of plasticity using neural networks and full-field data,
    Yin Zhang, Qing-Jie Li, Ting Zhu and Ju Li, Extreme Mechanics Letters 52 (2022) 101645.

  27. TeaNet: Universal neural network interatomic potential inspired by iterative electronic relaxations,
    So Takamoto, Satoshi Izumi and Ju Li, Computational Materials Science 207 (2022) 111280.

  28. Nonlinear nonreciprocal photocurrents under phonon dressing,
    Haowei Xu, Hua Wang and Ju Li Physical Review B 106 (2022) 035102.

  29. Generalized Wilson loop method for nonlinear light-matter interaction,
    Hua Wang, Xiuyu Tang, Haowei Xu, Ju Li and Xiaofeng Qian, npj Quantum Materials 7 (2022) 61.

  30. Abnormal nonlinear optical responses on the surface of topological materials,
    Haowei Xu, Hua Wang and Ju Li, npj Computational Materials (2022) 111.

  31. Machine learning in nuclear materials research,
    Dane Morgan, Ghanshyam Pilania, Adrien Couet, Blas P. Uberuaga, Cheng Sun and Ju Li, Current Opinion in Solid State and Materials Science 26 (2022) 100975.

  32. Machine learning of metal-ceramic wettability,
    So Yeon Kim and Ju Li, Journal of Materiomics 8 (2022) 195-203.

  33. Deep neural network battery life and voltage prediction by using data of one cycle only,
    Chia-Wei Hsu, Rui Xiong, Nan-Yow Chen, Ju Li and Nien-Ti Tsou, Applied Energy 306 (2021) 118134.

  34. Pure spin photocurrent in non-centrosymmetric crystals: bulk spin photovoltaic effect,
    Haowei Xu, Hua Wang, Jian Zhou and Ju Li, Nature Communications 12 (2021) 4330.

  35. Light-Induced Quantum Anomalous Hall Effect on the 2D Surfaces of 3D Topological Insulators,
    Haowei Xu, Jian Zhou and Ju Li, Advanced Science 8 (2021) 2101508.

  36. Sliding ferroelectricity in 2D van der Waals materials: Related physics and future opportunities,
    Menghao Wu and Ju Li, PNAS 118 (2021) e2115703118.

  37. CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning,
    Murat Onen, Nicolas Emond, Ju Li, Bilge Yildiz and Jesus A. del Alamo, Nano Letters 21 (2021) 6111-6116.

  38. Modeling LiF and FLiBe Molten Salts with Robust Neural Network Interatomic Potential,
    Stephen T. Lam, Qing-Jie Li, Ronald Ballinger, Charles Forsberg and Ju Li, ACS Applied Materials & Interfaces 13 (2021) 24582-24592.

  39. Development of robust neural-network interatomic potential for molten salt,
    Qing-Jie Li, Emine Kucukbenli, Stephen Lam, Boris Khaykovich, Efthimios Kaxiras and Ju Li, Cell Reports Physical Science 2 (2021) 100359.

  40. Machine learning for deep elastic strain engineering of semiconductor electronic band structure and effective mass,
    Evgenii Tsymbalov, Zhe Shi, Ming Dao, Subra Suresh, Ju Li and Alexander Shapeev, npj Computational Materials 7 (2021) 76.

  41. Phase transitions in 2D materials,
    Wenbin Li, Xiaofeng Qian and Ju Li, Nature Reviews Materials 6 (2021) 829–846.

  42. Light-induced static magnetization: Nonlinear Edelstein effect,
    Haowei Xu, Jian Zhou, Hua Wang and Ju Li, Physical Review B 103 (2021) 205417.

  43. Giant Photonic Response of Mexican-Hat Topological Semiconductors for Mid-infrared to Terahertz Applications,
    Haowei Xu, Jian Zhou, Hua Wang and Ju Li, Journal of Physical Chemistry Letters 11 (2020) 6119-6126.

  44. Normal-to-topological insulator martensitic phase transition in group-IV monochalcogenides driven by light,
    Jian Zhou, Shunhong Zhang and Ju Li, NPG Asia Materials 12 (2020) 2.

  45. Protonic solid-state electrochemical synapse for physical neural networks,
    Xiahui Yao, Konstantin Klyukin, Wenjie Lu, Murat Onen, Seungchan Ryu, Dongha Kim, Nicolas Emond, Iradwikanari Waluyo, Adrian Hunt, Jesús A. del Alamo, Ju Li and Bilge Yildiz, Nature Communications 11 (2020) 3134.

  46. Engineering single-atom dynamics with electron irradiation,
    Cong Su, Mukesh Tripathi, Qing-Bo Yan, Zegao Wang, Zihan Zhang, Christoph Hofer, Haozhe Wang, Leonardo Basile, Gang Su, Mingdong Dong, Jannik C. Meyer, Jani Kotakoski, Jing Kong, Juan-Carlos Idrobo1, Toma Susi and Ju Li, Science Advances 5 (2019) eaav2252

  47. Deep elastic strain engineering of bandgap through machine learning,
    Zhe Shi, Evgenii Tsymbalov, Ming Dao, Subra Suresh, Alexander Shapeev, and Ju Li, PNAS 116 (2019) 4117-4122.

  48. Origin of Two-Dimensional Vertical Ferroelectricity in WTe2 Bilayer and Multilayer,
    Qing Yang, Menghao Wu and Ju Li, Journal of Physical Chemistry Letters 9 (2018) 7160-7164.

  49. Opto-Mechanics Driven Fast Martensitic Transition in Two-Dimensional Materials,
    Jian Zhou, Haowei Xu, Yifei Li, R. Jaramillo and Ju Li, Nano Letters 18 (2018) 7794-7800.

  50. Topological semimetal to insulator quantum phase transition in the Zintl compounds Ba2X(X = Si,Ge),
    Ziming Zhu, Mingda Li and Ju Li, Physical Review B 94 (2016) 155121.

  51. Triple Point Topological Metals,
    Ziming Zhu, Georg W. Winkler, QuanSheng Wu, Ju Li and Alexey A. Soluyanov, Physical Review X 6 (2016) 031003.

  52. Quantum spin Hall effect in two-dimensional transition metal dichalcogenides,
    Xiaofeng Qian, Junwei Liu, Liang Fu and Ju Li, Science 346 (2014) 1344-1347.