Tengfei Luo

1. Graph Diffusion Transformers for Multi-Conditional Molecular Generation
   2024/01/24 by Gang Liu, Liu, Gang, Jiaxin Xu +5 · 1 voice · 13 citations
   Computer Science · Materials Science · #Advanced Multi-Objective Optimization Algorithms #Machine Learning in Materials Science #cs.LG #q-bio.BM
2. Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation
   2021/03/14 by Ruiyang Li, Li, Ruiyang, Eungkyu Lee +3 · 3 citations
   Engineering · Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Model Reduction and Neural Networks #Numerical methods in engineering #Thermal properties of materials
3. Distributed quantum approximate optimization algorithm on a quantum-centric supercomputing architecture
   2024/07/29 by Seongmin Kim, Kim, Seongmin, Vincent R. Pascuzzi +10 · 6 citations
   Computer Science · #Quantum Computing Algorithms and Architecture
4. Quantum Annealing for Combinatorial Optimization: A Benchmarking Study
   2025/04/08 by Seongmin Kim, Kim, Seongmin, Sang Il Ahn +9 · 10 citations
   Computer Science · #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Complexity and Algorithms in Graphs
5. Machine Learning-Assisted Exploration of Thermally Conductive Polymers Based on High-Throughput Molecular Dynamics Simulations
   2021/09/07 by Ruimin Ma, Ma, Ruimin, Hanfeng Zhang +11 · 2 citations
   Engineering · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Fuel Cells and Related Materials #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Thermal properties of materials
6. Leveraging Low-Fidelity Data to Improve Machine Learning of Sparse High-Fidelity Thermal Conductivity Data via Transfer Learning
   2022/08/28 by Zeyu Liu, Meng Jiang, Liu, Zeyu +3 · 2 citations
   Materials Science · #Machine Learning in Materials Science #Thermal properties of materials #Advanced Thermoelectric Materials and Devices
7. Data-Centric Learning from Unlabeled Graphs with Diffusion Model
   2023/03/17 by Gang Liu, Eric Inae, Liu, Gang +9 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Machine Learning and Data Classification
8. Black body-like radiative cooling for flexible thin-film solar cells
   2019/06/01 by Eungkyu Lee, Tengfei Luo · 1 citation
9. DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
   2023/12/30 by Deepak Akhare, Tengfei Luo, Akhare, Deepak +3 · 1 citation
   Physics and Astronomy · Computer Science · Decision Sciences · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
10. Room-temperature Magnetic Thermal Switching by Suppressing Phonon-Magnon Scattering
    2024/01/11 by Fanghao Zhang, Lokanath Patra, Zhang, Fanghao +17 · 1 citation
    Materials Science · Mathematics · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Numerical methods in inverse problems #Thermal properties of materials