Beijing Institute of Petrochemical Technology

Synergistic Vacancy-Mediated Adsorption-Activation Strategy and Spatial Confinement Effect for Enhanced Electrochemiluminescence Sensing of Isocarbophos

Abstract Exploring advanced strategies to overcome the sluggish activation kinetics of co-reactants and insufficient radical generation is pivotal for boosting electrochemiluminescence (ECL) sensing performance. Herein, an active radical-enriched ECL sensing platform for the ultr...

Three-dimensional numerical simulation of successive bubble condensation in mini-channels with VOSET method

In this paper, based on the energy jump model, the VOSET method is applied to study the condensation dynamics and heat transfer characteristics of successive bubbles in a three-dimensional mini-channel. The effects of liquid subcooling, inlet velocity distribution, initial bubble...

Effect of Fe3O4 Nanoparticle Size on the Performance of Magnetic Nanocomposite Pour Point Depressants

Waxy crude oils exhibit poor low-temperature flowability due to wax crystallization and the formation of a three-dimensional gel network, leading to operational challenges in production and transportation. In this work, a series of Fe3O4@ethylene–vinyl acetate (EVA) nanocomposite...

Porous Polymeric Materials for Cell Delivery and Regenerative Therapy: Design Principles, AI‐Assisted Optimization, and Clinical Translation

ABSTRACT Cell therapy is increasingly recognized as a cornerstone of 21st‐century medical innovation, but its success heavily relies on the effective delivery of therapeutic cells to the target site while maintaining their viability and functionality. Traditional intravenous inje...

Pressure-Swing Homogeneous Azeotropic Distillation Combined with Heat Pump and Heat Integration Technologies for the Recovery of Ethanol, Toluene, and Acetonitrile: Multiobjective Optimization and Comprehensive Performance Evaluation

Abstract Ethanol (EtOH), toluene (TOL), and acetonitrile (ACN) often coexist in industrial wastewater and form a homogeneous azeotropic system that is difficult to separate. In this work, a pressure-swing homogeneous azeotropic distillation process was developed and intensified w...

Pronounced effect of cycloalkyl substituents in Bis(imino)pyridine cobalt catalysts for high 1-hexene selectivity in propylene oligomerization

Bis(imino)pyridine cobalt catalysts offer a tunable platform for selective propylene oligomerization to linear α-olefins, yet the interplay between steric and electronic effects remains incompletely understood. This work systematically modulates the steric environment via cycloal...

Reservoir Neuromorphic Computing Based on Spin-Orbit Coupling in an Organic Crystal Resonator

Abstract Neuromorphic computing is at the basis of the recent progress in artificial intelligence, but this progress is accompanied by an increasing demand for computational resources and power supply. Reservoir neuromorphic computing uses a nonlinear physical system to replace a...

Single-Atom Solvent for Enhanced CO2 Capture: Process Modeling and Multi-Objective Optimization

This work addresses the post-combustion CO2 capture demand, employing a single-atom solvent as the absorbent to conduct systematic research on process modeling, energy consumption analysis, and multi-objective optimization. The energy consumption of the single-atom solvent-enhanc...

Metabolic Engineering Strategies for High-Level α-Pinene Production in Saccharomyces cerevisiae

Abstract α-Pinene is a biologically active monoterpene compound derived from coniferous plants, performing multiple ecological and physiological functions. Moreover, its strained bicyclic skeleton makes it an exceptional renewable feedstock for high-density renewable fuels. Howev...

Self-Powered Triboelectric Biofluid Sensors for Early Disease Screening and Diagnosis: A Review

With the growing demand for continuous health assessment and early disease screening, biofluids have attracted increasing attention because they provide molecular information that cannot be obtained from conventional physical signals alone. However, practical biofluid analysis re...

Integrated All-Graphene Flexible Strain Sensors viaProgrammable Laser-Induced Conductivity Optimization for WearableMotion Monitoring

Abstract Flexible strain sensors are essential components in wearable electronics and soft robotic systems, yet their reliability is often compromised by the mechanical mismatch and interfacial instability inherent in heterogeneous material integration. Herein, we present an inte...

Knowledge-Guided Graph iTransformer Enhanced by Reinforcement Learning for Industrial Fault Diagnosis

Complex industrial processes are characterized by strong coupling, nonlinear interactions, and dynamic causal dependencies between variables, posing significant challenges for accurate fault diagnosis. Conventional data-driven methods often fail to effectively exploit structural...