Chenghao Liu

ORCID: 0000-0001-7923-6806
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About
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Research Areas
  • Time Series Analysis and Forecasting
  • X-ray Diffraction in Crystallography
  • Luminescence and Fluorescent Materials
  • Crystallization and Solubility Studies
  • Organic Light-Emitting Diodes Research
  • Organic Electronics and Photovoltaics
  • Covalent Organic Framework Applications
  • Machine Learning in Materials Science
  • Stock Market Forecasting Methods
  • Computational Drug Discovery Methods
  • Metal-Organic Frameworks: Synthesis and Applications
  • Perovskite Materials and Applications
  • Advancements in Battery Materials
  • Advanced Battery Technologies Research
  • Advanced Nanomaterials in Catalysis
  • Advanced Battery Materials and Technologies
  • Carbon and Quantum Dots Applications
  • Advanced biosensing and bioanalysis techniques
  • Anomaly Detection Techniques and Applications
  • Photorefractive and Nonlinear Optics
  • Crystallography and molecular interactions
  • Electrochemical sensors and biosensors
  • Forecasting Techniques and Applications
  • Conducting polymers and applications
  • Photonic and Optical Devices

California Institute of Technology
2025

McGill University
2019-2024

Gannan Medical University
2022-2024

Chinese Academy of Sciences
2017-2024

Shanghai University
2021-2024

Mila - Quebec Artificial Intelligence Institute
2023-2024

State Key Laboratory of Crystal Materials
2021-2024

Shihezi University
2023-2024

Zhejiang University
2020-2024

Shandong University
2021-2024

Recently, HTTP has been widely used for the delivery of real-time multimedia content over Internet, such as in video streaming applications. To combat varying network resources rate adaptation is to adapt transmission capacity. A key research problem identify congestion early enough and probe spare In adaptive streaming, this becomes challenging because difficulties differentiating between short-term throughput variations, incurred by TCP control, changes due more persistent bandwidth changes.

10.1145/1943552.1943575 article EN 2011-02-15

Designing structural order in electronically active organic solids remains a great challenge the field of materials chemistry. Now, 2D poly(arylene vinylene)s prepared as highly crystalline covalent frameworks (COFs) by base-catalyzed aldol condensation trimethyltriazine with aromatic dialdehydes are reported. The synthesized polymers emissive (quantum yield up to 50 %), commonly observed their 1D analogues poly(phenylene vinylene)s. inherent well-defined porosity (surface area ca. 1000 m2...

10.1002/anie.201906976 article EN Angewandte Chemie International Edition 2019-07-30

Superionic conductors with ionic conductivity on the order of mS cm-1 are expected to revolutionize development solid-state batteries (SSBs). However, currently available superionic limited only a few structural families such as garnet oxides and sulfide-based glass/ceramic. Interfaces in composite systems alumina lithium iodide have long been identified viable conduction channel, but practical employing interfacial mechanism yet be realized. Here we report novel method that creates...

10.1021/jacs.0c07060 article EN Journal of the American Chemical Society 2020-09-28

Abstract Integrating plasmonic nanoparticles into the photoactive metal-organic matrix is highly desirable due to near field enhancement, complementary light absorption, and accelerated separation of photogenerated charge carriers at junction interface. The construction a well-defined, intimate interface vital for efficient carrier separation, however, it remains challenge in synthesis. Here we synthesize bearing interface, composed Ag with silver node via facile one-step approach. effect on...

10.1038/s41467-023-35981-8 article EN cc-by Nature Communications 2023-02-01

Transformers have been actively studied for time-series forecasting in recent years. While often showing promising results various scenarios, traditional are not designed to fully exploit the characteristics of data and thus suffer some fundamental limitations, e.g., they generally lack decomposition capability interpretability, neither effective nor efficient long-term forecasting. In this paper, we propose ETSFormer, a novel Transformer architecture, which exploits principle exponential...

10.48550/arxiv.2202.01381 preprint EN cc-by arXiv (Cornell University) 2022-01-01

We report the first transformation between crystalline vinylene-linked two-dimensional (2D) polymers and cyclobutane-linked three-dimensional (3D) polymers. Specifically, absorption-edge irradiation of 2D poly(arylenevinylene) covalent organic frameworks (COFs) results in topological [2 + 2] cycloaddition cross-linking π-stacked layers 3D COFs. The reaction is reversible, heating to 200 °C leads a cycloreversion while retaining COF crystallinity. resulting difference connectivity manifested...

10.1021/jacs.0c01990 article EN Journal of the American Chemical Society 2020-04-20

The black crystalline (aza)triangulene-based covalent organic framework TANG-COF was synthesized from its trinitro-TANG precursor via a one-pot, two-step reaction involving Pd-catalyzed hydrogenation and polycondensation with an aromatic dialdehyde. High crystallinity permanent porosity of the layered two-dimensional (2D) structure were established. rigid, electron-rich trioxaazatriangulene (TANG) building block enables strong π-electron interactions manifested in broad absorptions across...

10.1021/jacs.9b11528 article EN Journal of the American Chemical Society 2020-01-17

Abstract Conversion of clean solar energy to chemical fuels is one the promising and up-and-coming applications metal–organic frameworks. However, fast recombination photogenerated charge carriers in these frameworks remains most significant limitation for their photocatalytic application. Although construction homojunctions a solution, it very challenging synthesize them. Herein, we report well-defined hierarchical homojunction based on via facile one-pot synthesis route directed by hollow...

10.1038/s41467-021-21401-2 article EN cc-by Nature Communications 2021-02-23

Abstract Red luminescence is found in off‐white tris(iodoperchlorophenyl)methane ( 3I‐PTM H ) crystals which characterized by a high photoluminescence quantum yield (PLQY 91 %) and color purity (CIE coordinates 0.66, 0.34). The emission originates from the doublet excited state of neutral radical R , spontaneously formed becomes embedded matrix. defect can also be deliberately introduced into maintain PLQY with up to 4 % concentration. immobilized iodinated demonstrates excellent...

10.1002/anie.202009867 article EN Angewandte Chemie International Edition 2020-08-21

The low Coulombic efficiency and hazardous dendrite growth hinder the adoption of lithium anode in high-energy density batteries. Herein, we report a metal–carbon nanotube (Li–CNT) composite as an alternative to long-term untamed electrode address critical issues associated with Li–O2 batteries, where metal is impregnated porous carbon microsphere matrix (CNTm) surface-passivated self-assembled monolayer octadecylphosphonic acid tailor-designed solid electrolyte interphase (SEI). high...

10.1021/acs.nanolett.9b02560 article EN Nano Letters 2019-08-05

Deep learning has been actively studied for time series forecasting, and the mainstream paradigm is based on end-to-end training of neural network architectures, ranging from classical LSTM/RNNs to more recent TCNs Transformers. Motivated by success representation in computer vision natural language processing, we argue that a promising first learn disentangled feature representations, followed simple regression fine-tuning step -- justify such causal perspective. Following this principle,...

10.48550/arxiv.2202.01575 preprint EN cc-by arXiv (Cornell University) 2022-01-01

Background: The issues related to the treatment of perimenopausal depression (PMD) are side effects antidepressants and hormone replacement therapy. aim this study was assess efficiency safety acupuncture moxibustion in PMD patients. Methods: Databases, namely PubMed, Cochrane Library, Web Science, EMBASE, CNKI, CBM, VIP, WanFang, were reviewed for randomized controlled trials dated between database inception November 22, 2022. primary outcomes efficacy rate Hamilton Depression Scale score....

10.1097/md.0000000000034694 article EN cc-by-nc Medicine 2023-08-18

Deep learning for time series forecasting has traditionally operated within a one-model-per-dataset framework, limiting its potential to leverage the game-changing impact of large pre-trained models. The concept universal forecasting, emerging from pre-training on vast collection datasets, envisions single Large Time Series Model capable addressing diverse downstream tasks. However, constructing such model poses unique challenges specific data: i) cross-frequency learning, ii) accommodating...

10.48550/arxiv.2402.02592 preprint EN arXiv (Cornell University) 2024-02-04

Li metal has long been considered as the ultimate anodic material for high-energy-density batteries. Protection of in electrochemical cycling and manufacturing environment is critical practical applications. Here, we present passivation metal-carbon nanotube (CNT) composite with molecular self-assembly a long-chain aliphatic phosphonic acid. The dynamics process investigated sum-frequency generation spectroscopy (SFG). acid molecules self-assemble on surface via lithium phosphate bonding,...

10.1021/acscentsci.8b00845 article EN publisher-specific-oa ACS Central Science 2019-02-12

Li metal has been considered as the ultimate anode material for high-density electrochemical energy storage technology because of its extremely high specific capacity (3860 mAh g<sup>−1</sup>), lowest redox potential, and ability to enable battery chemistries with lithium free cathode materials.

10.1039/c7ta08531a article EN Journal of Materials Chemistry A 2017-01-01

The state of health and remaining useful life lithium-ion batteries are important indicators to ensure the reliable operation these batteries. However, because they cannot be directly measured affected by many factors, difficult predict. This paper presents method jointly predicting RUL based on long short-term memory neural network Gaussian process regression. extracts batteries’ factors from charging curve, selects with more relevance than setting standard as characteristic capacity...

10.3390/su141911865 article EN Sustainability 2022-09-21
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