Search Results - "Li, Qianxiao"

A mean-field optimal control formulation of deep learning by E, Weinan, Han, Jiequn, Li, Qianxiao

“…Recent work linking deep neural networks and dynamical systems opened up new avenues to analyze deep learning. In particular, it is observed that new insights…”
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Two-step machine learning enables optimized nanoparticle synthesis by Mekki-Berrada, Flore, Ren, Zekun, Huang, Tan, Wong, Wai Kuan, Zheng, Fang, Xie, Jiaxun, Tian, Isaac Parker Siyu, Jayavelu, Senthilnath, Mahfoud, Zackaria, Bash, Daniil, Hippalgaonkar, Kedar, Khan, Saif, Buonassisi, Tonio, Li, Qianxiao, Wang, Xiaonan

“…In materials science, the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming. In this study, we present…”
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An Annealing Mechanism for Adversarial Training Acceleration by Ye, Nanyang, Li, Qianxiao, Zhou, Xiao-Yun, Zhu, Zhanxing

“…Despite the empirical success in various domains, it has been revealed that deep neural networks are vulnerable to maliciously perturbed input data that can…”
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Study of the instability of the Poiseuille flow using a thermodynamic formalism by Wang, Jianchun, Li, Qianxiao, E, Weinan

“…The stability of the plane Poiseuille flow is analyzed using a thermodynamic formalism by considering the deterministic Navier–Stokes equation with Gaussian…”
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Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites by Bash, Daniil, Cai, Yongqiang, Chellappan, Vijila, Wong, Swee Liang, Yang, Xu, Kumar, Pawan, Tan, Jin Da, Abutaha, Anas, Cheng, Jayce JW, Lim, Yee‐Fun, Tian, Siyu Isaac Parker, Ren, Zekun, Mekki‐Berrada, Flore, Wong, Wai Kuan, Xie, Jiaxun, Kumar, Jatin, Khan, Saif A., Li, Qianxiao, Buonassisi, Tonio, Hippalgaonkar, Kedar

“…Combining high‐throughput experiments with machine learning accelerates materials and process optimization toward user‐specified target properties. In this…”
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Fast Bayesian optimization of Needle-in-a-Haystack problems using zooming memory-based initialization (ZoMBI) by Siemenn, Alexander E., Ren, Zekun, Li, Qianxiao, Buonassisi, Tonio

“…Needle-in-a-Haystack problems exist across a wide range of applications including rare disease prediction, ecological resource management, fraud detection, and…”
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Machine learning enables polymer cloud-point engineering via inverse design by Kumar, Jatin N., Li, Qianxiao, Tang, Karen Y. T., Buonassisi, Tonio, Gonzalez-Oyarce, Anibal L., Ye, Jun

“…Inverse design is an outstanding challenge in disordered systems with multiple length scales such as polymers, particularly when designing polymers with…”
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Impact of repeated intravenous bone marrow mesenchymal stem cells infusion on myocardial collagen network remodeling in a rat model of doxorubicin-induced dilated cardiomyopathy by Yu, Qin, Li, Qianxiao, Na, Rongmei, Li, Xiaofei, Liu, Baiting, Meng, Lili, Liutong, Hanyu, Fang, Weiyi, Zhu, Ning, Zheng, Xiaoqun

“…Bone marrow mesenchymal stem cells (MSCs) transplantation improved cardiac function and reduced myocardial fibrosis in both ischemic and non-ischemic…”
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Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics by Ren, Zekun, Oviedo, Felipe, Thway, Maung, Tian, Siyu I. P., Wang, Yue, Xue, Hansong, Dario Perea, Jose, Layurova, Mariya, Heumueller, Thomas, Birgersson, Erik, Aberle, Armin G., Brabec, Christoph J., Stangl, Rolf, Li, Qianxiao, Sun, Shijing, Lin, Fen, Peters, Ian Marius, Buonassisi, Tonio

“…Process optimization of photovoltaic devices is a time-intensive, trial-and-error endeavor, which lacks full transparency of the underlying physics and relies…”
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Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs by Low, Andre K. Y., Mekki-Berrada, Flore, Gupta, Abhishek, Ostudin, Aleksandr, Xie, Jiaxun, Vissol-Gaudin, Eleonore, Lim, Yee-Fun, Li, Qianxiao, Ong, Yew Soon, Khan, Saif A., Hippalgaonkar, Kedar

“…The development of automated high-throughput experimental platforms has enabled fast sampling of high-dimensional decision spaces. To reach target properties…”
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An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning by Kemeth, Felix P., Haugland, Sindre W., Dietrich, Felix, Bertalan, Tom, Hohlein, Kevin, Li, Qianxiao, Bollt, Erik M., Talmon, Ronen, Krischer, Katharina, Kevrekidis, Ioannis G.

“…Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations;…”
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A Comparison on Prevalence of Hypertension and Related Risk Factors between Island and Rural Residents of Dalian City, China by Cheng, Dong, Li, Zhu, Fang, Weiyi, Zhu, Ning, Yu, Qin, Hu, Jiahui, Tu, Wencheng, Chen, Libo, Li, Qianxiao, Li, Xiaofei, Na, Rongmei, Liu, Hainiang, Liu, Baiting, Cao, Yalan

“…This study aimed to compare the prevalence of hypertension between the island and rural residents in Dalian, China, and to explore associated risk factors of…”
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DynGMA: A robust approach for learning stochastic differential equations from data by Zhu, Aiqing, Li, Qianxiao

“…Learning unknown stochastic differential equations (SDEs) from observed data is a significant and challenging task with applications in various fields. Current…”
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Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics by Ren, Zekun, Oviedo, Felipe, Thway, Maung, Tian, Siyu I. P., Wang, Yue, Xue, Hansong, Perea, Jose Dario, Layurova, Mariya, Heumueller, Thomas, Birgersson, Erik, Aberle, Armin G., Brabec, Christoph J., Stangl, Rolf, Li, Qianxiao, Sun, Shijing, Lin, Fen, Peters, Ian Marius, Buonassisi, Tonio

“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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Distributed optimization for degenerate loss functions arising from over-parameterization by Zhang, Chi, Li, Qianxiao

“…We consider distributed optimization with degenerate loss functions, where the optimal sets of local loss functions have a non-empty intersection. This regime…”
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Computing high-dimensional invariant distributions from noisy data by Lin, Bo, Li, Qianxiao, Ren, Weiqing

“…The invariant distribution is an important object in the study of randomly perturbed dynamical systems. The existing methods, including traditional finite…”
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On stability and regularization for data-driven solution of parabolic inverse source problems by Zhang, Mengmeng, Li, Qianxiao, Liu, Jijun

“…The diffusion process from some internal source arising in engineering situations can be mathematically described by a parabolic system. We consider an inverse…”
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Non-intrusive model combination for learning dynamical systems by Wu, Shiqi, Chamoin, Ludovic, Li, Qianxiao

“…In data-driven modeling of complex dynamic processes, it is often desirable to combine different classes of models to enhance performance. Examples include…”
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Deep learning via dynamical systems: An approximation perspective by Li, Qianxiao, Lin, Ting, Shen, Zuowei

“…We build on the dynamical systems approach to deep learning, where deep residual networks are idealized as continuous-time dynamical systems, from the…”
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Prediction of interstitial diffusion activation energies of nitrogen, oxygen, boron and carbon in bcc, fcc, and hcp metals using machine learning by Zeng, Yingzhi, Li, Qianxiao, Bai, Kewu

“…[Display omitted] •Synergize physical model and machine learning in studying interstitial diffusion.•Predict activation energy of 554 new systems of B, C, N,…”
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