Ping Tuo

Institute of Science and Technology Austria — Austria

Materials Science · Physical Sciences

12h-index1.1kcitations30works10.12yr avg
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Research Topics

Machine Learning in Materials Science(7), Perovskite Materials and Applications(5), Electromagnetic wave absorption materials(4), Advanced Photocatalysis Techniques(3), Chalcogenide Semiconductor Thin Films(3)

Publications30 total

DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science
Journal of Chemical Information and Modeling·2025
Scalable Multitemperature Free Energy Sampling of Classical Ising Spin States
Journal of Chemical Theory and Computation·2025
Scalable NixSy@diatomite core-shell architectures with thermodynamic stability for bifunctional microwave absorption and oxygen evolution catalysis
Solid State Sciences·2025
dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets
Journal of Chemical Information and Modeling·2025· 1 cited
Joint and individual associations between multiple vitamins and sperm quality in adult men
Frontiers in Nutrition·2025Open Access
Scalable Multitemperature Free Energy Sampling of Classical Ising Spin States
ArXiv.org·2025Open Access
Progress and prospect of biomimetic optical materials: A review
Biogeotechnics·2025· 3 citedOpen Access
Composite Nanomaterials of Sulfurized Nickel and Diatomite for Electromagnetic Wave Absorption
ACS Applied Nano Materials·2025· 1 cited
Multistage carbon coupling on three-dimensional multi-space biological templates: A novel strategy for multifunctional microwave absorption aerogel
Nano Research·2025· 7 citedOpen Access
Lessons from Nature: Advances and Perspectives in Bionic Microwave Absorption Materials
Nano-Micro Letters·2024· 62 citedOpen Access
C/Co3O4/Diatomite Composite for Microwave Absorption
Molecules·2024· 5 citedOpen Access
A Highly Deficient Medium‐Entropy Perovskite Ceramic for Electromagnetic Interference Shielding under Harsh Environment
Advanced Materials·2024· 42 citedOpen Access
DeePKS Model for Halide Perovskites with the Accuracy of a Hybrid Functional
The Journal of Physical Chemistry C·2023· 4 cited
A Spin-dependent Machine Learning Framework for Transition Metal Oxide Battery Cathode Materials
arXiv (Cornell University)·2023· 1 citedOpen Access
DeePMD-kit v2: A software package for deep potential models
The Journal of Chemical Physics·2023· 456 citedOpen Access
DeePKS Model for Halide Perovskites with the Accuracy of Hybrid Functional
arXiv (Cornell University)·2023Open Access
Spontaneous Hybrid Nano‐Domain Behavior of the Organic–Inorganic Hybrid Perovskites
Advanced Functional Materials·2023· 12 cited
DeePMD-kit v2: A software package for Deep Potential models
arXiv (Cornell University)·2023· 15 citedOpen Access
Nickel Iron Layered Double Hydroxide Nanostructures Composited with Carbonyl Iron Powder for Microwave Absorption
ACS Applied Nano Materials·2023· 27 cited
Hybrid nano-domain structures of organic-inorganic perovskites from molecule-cage coupling effects
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Yixiao Chen(6), Linfeng Zhang(6), Bicai Pan(6), Dashuang Wang(6), Zhilan Du(6), Yuxin Zhang(5), Jinzhe Zeng(4), Yifan Li(4), Jiameng Huang(4), Fengbo Yuan(4), Yuzhi Zhang(4), Handong Wang(4), Jinsong Rao(4), Xiaoxu Wang(4), Duo Zhang(3), Marián Rynik(3), Yingze Wang(3), Yibo Wang(3), Jiaxin Zhu(3), Chenxing Luo(3)