Hao Li
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View article: Fault Detection and Classification of Power Lines Based on Bayes–LSTM–Attention
Fault Detection and Classification of Power Lines Based on Bayes–LSTM–Attention Open
As a critical component of the power system, transmission lines play a significant role in ensuring the safe and stable operation of the power grid. To address the challenge of accurately characterizing complex and diverse fault types, thi…
View article: Universal Catalyst Design Framework for Electrochemical Hydrogen Peroxide Synthesis Facilitated by Local Atomic Environment Descriptors
Universal Catalyst Design Framework for Electrochemical Hydrogen Peroxide Synthesis Facilitated by Local Atomic Environment Descriptors Open
A universal design framework for high‐performance catalysts remains challenging due to diverse structures and active sites. We developed a framework integrating weighted atom‐centered symmetry function (wACSF) descriptors with machine lear…
View article: FengShun-CSM
FengShun-CSM Open
This is the official repository for the FengShun-CSM paper. FengShun-CSM: A coupled system model with machine learning by Chenguang Zhou, Lei Chen, Xiaohui Zhong, Bo Lu, Hao Li, Libo Wu, Jie Wu, Jiahui Hu, Zesheng Dou, Pang-Chi Hsu, Xiaoye…
View article: Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution
Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution Open
The chlorine evolution reaction (CER) is a crucial anodic process in the chlor‐alkali industry but relies heavily on dimensionally stable anodes (DSAs) containing high‐loadings of expensive noble metal oxides. To address this challenge, he…
View article: Simultaneous Electrocatalytic Oxidation and Hydrogenation of Biomass‐Derived Aldehydes on Single‐Atom Ru Catalysts
Simultaneous Electrocatalytic Oxidation and Hydrogenation of Biomass‐Derived Aldehydes on Single‐Atom Ru Catalysts Open
Simultaneous electrocatalytic oxidation (ECO) and hydrogenation (ECH) of biomass‐derived aldehydes offers a promising strategy for high‐value chemical production at both sides in a single electrolytic system. Herein, single‐atom Ru is anch…
View article: Ampere‐Level Electrosynthesis of CO via Well‐Defined Pyridinic‐N Incorporated Cobalt Phthalocyanine
Ampere‐Level Electrosynthesis of CO via Well‐Defined Pyridinic‐N Incorporated Cobalt Phthalocyanine Open
High‐rate CO electrosynthesis from CO 2 is vital for efficient CO 2 ‐CO‐C 2+ tandem conversion. Cobalt phthalocyanine (CoPc), featuring a Co‐N 4 site naturally favorable for CO production, suffers from low conductivity. Herein, a molecular…
View article: A data-driven global ocean forecasting model with sub-daily and eddy-resolving resolution
A data-driven global ocean forecasting model with sub-daily and eddy-resolving resolution Open
High-fidelity ocean forecasting at high spatial and temporal resolution is essential for capturing fine-scale dynamical features, with profound implications for hazard prediction, maritime navigation, and sustainable ocean management. Whil…
View article: Regional landslide susceptibility prediction considering the optimal discretization of environmental factors
Regional landslide susceptibility prediction considering the optimal discretization of environmental factors Open
This study focuses on landslide susceptibility prediction in Jiangxi Province by optimizing environmental factor discretization, using ChiMerge (CM), Natural Break (NB), and Equal Interval (EI) methods combined with statistical models (Fre…
View article: Modulating Surface‐Active Hydrogen for Facilitating Nitrate‐to‐Ammonia Electroreduction on Layered Double Hydroxides Nanosheets
Modulating Surface‐Active Hydrogen for Facilitating Nitrate‐to‐Ammonia Electroreduction on Layered Double Hydroxides Nanosheets Open
Electrocatalytic nitrate (NO 3 − ) reduction reaction (NitRR) to valuable ammonia (NH 3 ) presents a promising alternative strategy to the conventional Haber‐Bosch process, yet suffers from low Faradaic efficiency (FE) and limited NH 3 yie…
View article: Hydrophobically modified <scp>Cu<sub>2</sub>O</scp> nanocube for selective <scp>CO<sub>2</sub></scp> electroreduction to <scp>C<sub>2</sub></scp><sub>+</sub> products
Hydrophobically modified <span>Cu<sub>2</sub>O</span> nanocube for selective <span>CO<sub>2</sub></span> electroreduction to <span>C<sub>2</sub></span><sub>+</sub> products Open
The electrochemical conversion of CO 2 into carbonaceous fuels and chemicals emerges as a promising sustainable strategy toward energy‐rich chemical feedstocks. However, CO 2 reduction reaction (CO 2 RR) in aqueous environments is highly i…
View article: The effects and mechanisms underlying collagen-binding peptides MDPs on dentin remineralization: an in vitro study
The effects and mechanisms underlying collagen-binding peptides MDPs on dentin remineralization: an in vitro study Open
Background Currently, many biomimetic mineralization materials fail to bind effectively to collagen, which significantly limits their remineralization efficacy. To address this limitation, we designed MMP2-derived peptides (MDPs) on the ba…
View article: Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus
Development and validation of an explainable machine learning model for predicting osteoporosis in patients with type 2 diabetes mellitus Open
Objective Osteoporosis is a common complication in patients with type 2 diabetes mellitus (T2DM), yet its screening rate remains low. This study aimed to develop and validate a cost-effective and interpretable machine learning (ML) model t…
View article: OmniCellAgent: Towards AI Co-Scientists for Scientific Discovery in Precision Medicine
OmniCellAgent: Towards AI Co-Scientists for Scientific Discovery in Precision Medicine Open
The convergence of large language models (LLMs), AI agents, and large-scale omic datasets—such as single-cell omics, marks the arrival of a critical inflection point in biomedical research, via autonomous data mining and novel hypothesis g…
View article: Synaptotagmin-1 serves as a primary Zn2+ sensor to mediate spontaneous neurotransmitter release under pathological conditions
Synaptotagmin-1 serves as a primary Zn2+ sensor to mediate spontaneous neurotransmitter release under pathological conditions Open
In the pre-synapse, vesicle fusion is a crucial process for neurotransmitter release in the nervous system. Under physiological conditions, synaptotagmin-1 (Syt1) locks synaptic vesicles in a priming state, allowing them to undergo synchro…
View article: A materials map integrating experimental and computational data via graph-based machine learning for enhanced materials discovery
A materials map integrating experimental and computational data via graph-based machine learning for enhanced materials discovery Open
Materials informatics (MI), emerging from the fusion of materials science and data science, has the potential to greatly accelerate material development and discovery. Although MI relies on data from both computational and experimental stu…
View article: C<sub>60</sub> Fullerene as the Active Site for CO<sub>2</sub> Electroreduction
C<sub>60</sub> Fullerene as the Active Site for CO<sub>2</sub> Electroreduction Open
Fullerene (C 60 ) was considered as a catalyst promoter in various electrochemical reactions, yet its catalytic role in enhancing catalytic performance beyond electron transfer remains a puzzle to chemists. Traditional simulations imply C …
View article: C<sub>60</sub> Fullerene as the Active Site for CO<sub>2</sub> Electroreduction
C<sub>60</sub> Fullerene as the Active Site for CO<sub>2</sub> Electroreduction Open
Fullerene (C 60 ) was considered as a catalyst promoter in various electrochemical reactions, yet its catalytic role in enhancing catalytic performance beyond electron transfer remains a puzzle to chemists. Traditional simulations imply C …
View article: Advancing Electrochemical Nitrate Reduction: Overcoming Rate‐Limiting Bottlenecks with Copper/Cobalt Catalysts
Advancing Electrochemical Nitrate Reduction: Overcoming Rate‐Limiting Bottlenecks with Copper/Cobalt Catalysts Open
Electrochemical Nitrate Reduction (NO 3 − RR) is a promising green process for producing ammonia and treating waste water. The nitrate‐to‐ammonia reduction involves multi‐step electron/proton‐transfer processes, where the NO 3 − →NO 2 − st…
View article: A joint strategy of energy management and energy braking recovery for fuel cell vehicles considering ultracapacitor
A joint strategy of energy management and energy braking recovery for fuel cell vehicles considering ultracapacitor Open
The hybrid energy storage system composed of fuel cell, battery, and ultracapacitor holds significant potential in fuel cell vehicles. However, most of the current research only solely consider energy braking recovery or merely focus on en…
View article: The Key Steps and Distinct Performance Trends of Pyrrolic vs Pyridinic M–N–C Catalysts in Electrocatalytic Nitrate Reduction
The Key Steps and Distinct Performance Trends of Pyrrolic vs Pyridinic M–N–C Catalysts in Electrocatalytic Nitrate Reduction Open
The electrochemical nitrate reduction reaction (NO3RR) offers a sustainable route for ambient ammonia synthesis. While metal-nitrogen-carbon (M-N-C) single-atom catalysts have emerged as promising candidates for the NO3RR, the structure-ac…
View article: Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration
Phase-Controlled Closing Strategy for UHV Circuit Breakers with Arc-Chamber Insulation Deterioration Consideration Open
To address the impact of insulation medium degradation in the arc quenching chambers of ultra-high-voltage SF6 circuit breakers on phase-controlled switching accuracy caused by multiple operations throughout the service life, this paper pr…