Processor IP Research Articles

Design and implementation of dynamic balance in ultra-high speed IP network

Abstract Nowadays, with the rapid development of IP network service demand, network construction is also accelerating, IP network is expanding at a higher rate, and gradually moving toward ultra-high speed networks above 40G. In view of the problems of inconsistent IP packet order, random IP packet length and traffic burst brought by the application environment of high traffic, high bandwidth and high concurrency in ultra-high speed IP network, this paper introduces a kind of dynamic balance processing technology of ultra-high speed IP network based on information label. By optimizing the IP processing architecture, a two-level scheduling architecture of multi-board and multi-module is established, and VPN is established in ultra-high speed IP network by using dynamic balance processing technology and order preserving technology to realize high performance IP processing, so as to achieve ultra-high speed data transmission.

Використання засобів штучного інтелекту в інженерії вимог: аналіз можливостей та чат-бот для валідації

This study investigates the processes and means of requirements engineering (RE) of software and complex information systems (SWS). The subject of this study is the instrumental means of SWS RE based on the methods of artificial (computational) intelligence (AI). The goal is to improve the accuracy and efficiency of CCD requirements development processes using AI tools by providing better communications between business teams and technical teams and automating complex requirements collection and documentation processes. The tasks are as follows: to analyze the principles and means of integrating AI tools into requirements engineering processes, the development and verification of which is a critical stage in the development of SWS; to determine the problems of using traditional SWS RE methods and perform their comparative analysis with AI-based methods; and to develop a chatbot architecture for requirements validation and identify characteristics of RE processes that are improved through its use. The results. The results of this study demonstrate that AI tools can significantly improve the accuracy, timeliness, and efficiency of requirements development processes and project team communication. An architecture and software solution for an intelligent chatbot for requirements validation is proposed, and the benefits and limitations of its application are discussed. Directions for further development and research regarding the end-to-end implementation of AI tools in IP processes have been developed.

Narrowing the pore size distribution of a piperazine-based ultrathin polyamide film with the addition of 1,3-diamino-2-propanol (DAP)

Sharpening the pore size distribution is challenging but highly efficacious to boost the performance of polyamide (PA) membranes in nanofiltration (NF). Herein, a facile and applicable strategy for narrowing the pore size distribution of a piperazine (PIP)-based NF membrane is proposed by introducing 1,3-diamino-2-propanol (DAP) into the aqueous phase. The results show that the selective layer can be effectively remodeled via the incorporation of DAP. A thicker, rougher and more hydrophilic selective layer with a narrowed pore size distribution can be attained by adding 0.03 w/v% DAP to the 0.1 w/v% PIP solution, which exhibited a pure water permeance (PWP) of 20.7 L m−2 h−1·bar−1 and a MgSO4 rejection up to 97.4 %. This transformation can be attributed to the stronger polarity and higher reactivity of DAP compared to PIP. During the IP process modified by DAP, the strong polarity of DAP could result in a slower and more homogeneous diffusion of PIP into the organic phase through hydrogen interaction to facilitate a uniform interfacial polymerization reaction. Meanwhile, the higher reactivity of DAP could remedy the probably produced defects. This work provides a straightforward route for the regulation of NF membrane structure and performance.

Low temperature regulated reverse interfacial polymerization for fabricating thin film composite membranes based on nanofibrous substrates

In this study, a novel thin film nanofibrous composite (TFNC) nanofiltration (NF) membranes comprised of polyacrylonitrile (PAN) nanofibrous supporting layer and polyamide (PA) compact separating layer was constructed by low-temperature-controlled reverse interfacial polymerization (LTIP-R) at − 5 °C. The strategy for lowering the temperature of organic phase solution played a crucial role in forming a dense and thin PA layer on the PAN nanofibrous substrate with submicron pores. The results revealed that the reduced evaporation rate of organic phase at low temperature was contributed to maintaining a complete and uniform interface for the following reverse IP process, effectively overcoming shortcomings of surface incompleteness and easy infiltration of PA barrier layer. Owing to the reduced thickness and the enhanced wholeness of the PA separating layer via LTIP-R, the optimized TFNC membranes exhibited NF performance with great rejection of divalent salt ions (98.2%) and an improved permeation (13.3 L‧m−2‧h−1‧bar−1). This work would provide an efficient and facile method to fabricate high performance NF membranes for practical applications.

Polyamide–based membranes with nanoscale homogeneity and asymmetric structure for ultrafast ion separation

Polymeric membranes are the most practical separation technology for extracting target ionic species necessary for water purification and clean energy, but are limited by the multi-scale heterogeneity, and transient and dynamic free volume pores. Modulated interfacial polymerization techniques are emergent concepts for preparing polyamide composite membranes with reduced thickness and homogeneous pore structures to satisfy the requirements for efficient ion separation applications. Herein, N–Cyclic cation-assisted kinetically regulated interfacial polymerization strategy to generate polyamide nanofilm composite membranes with tuned pore network and asymmetric structures for water purification is reported. Experimental characterization techniques and molecular dynamic simulations revealed that the N-Cyclic cations control the kinetic diffusion behaviour of the amine monomers to the aqueous/organic interface conducing to the formation of nanofilm membranes with fine-tuned polyamide network structures. Meanwhile, the N–Cyclic cation–regulated IP process not only affords to decrease the thickness of the formed polyamide nanofilm selective layers but also effectively narrows the effective pore size of the membranes. These membranes with thinner, homogeneous and asymmetric polyamide network structures exhibit enhanced water permeance of 55.7–60.42 L m−2 h−1 bar−1, and showed Na2SO4 rejection of 99.59–99.66% and MgCl2 rejection of 98.94–98.96% in nanofiltration separations, thereby outperforming the permeance–selectivity performance of the state-of-the-art polyamide-based membranes. The membranes also exhibit improved forward osmosis performances. We envision that this research will provide insightful foundations for the molecular tuning and construction of the next-generation structurally modulated polyamide nanofilms for various applications in molecular separation and water purification.

Attenuated thermal-regulated interfacial polymerization towards polyamide nanofiltration membrane with unprecedentedly enhanced performance

The desirable performance of polyamide membranes for seawater/brackish desalination seeks not only high water permeance, but also the pursuit of high salt rejection. However, few techniques have been able to achieve their simultaneous enhancement so far. In this work, we developed a special attenuated thermal-regulated interfacial polymerization (ATRIP) and unraveled the effect of dynamic change temperature on the microstructure of the polyamide membrane. During the ATRIP process, the interfacial temperature experiences a rapid rising and falling, which induces the formation of reaction intermediates of various sizes. The fusion of these reaction intermediates creates a dense polyamide (PA) layer with granular nanostructures on both front and back surface. These convex granular nanostructures create numerous cavities for shortening the water transport path. Therefore, the resulted TFC PA NF membrane from ATRIP exhibits unprecedented increase of permeate flux from 54 to 174 Lm−2h−1 and the increase of MgSO4 rejection from 82.9% to 95.8%. Overall, using attenuated thermal to regulate the IP process provides an effective and simple avenue to break through the “trade-off” relationship between water permeance and salt rejection of TFC PA NF membrane, which can strongly promote the development of desalination technologies.

PTSA-mediated interfacial catalytic polymerization of crystalline dense covalent organic framework membranes for enhanced desalination

Construction of covalent organic frameworks (COF) membranes for desalination applications was challenging, mainly due to the poor crystallinity and large intrinsic pore size of COFs. Herein, the p-toluenesulfonic acid (PTSA)-mediated interfacial catalytic polymerization (ICP) strategy was proposed to fabricate COF membranes with high crystallinity and sub-nano pores on the polysulfone substrate to enhance desalination and selectivity performance. The proposed PTSA-mediated ICP strategy facilitated the amorphous-to-crystalline transformation and regulated the stacking behavior of COF crystals. Via PTSA meditated ICP process, a ribbon-like crystal structure was observed on the membrane surface. The amorphous COF layers with a thickness of 122–412 nm transformed into crystalline COF layers with a thickness of approximately 245–390 nm, while the pore radius of the COF membranes decreased from 0.65-1.25 nm to 0.17–0.25 nm due to the multilayer stacking of COF crystals on the membrane surface. Meanwhile, the crystalline degree of these COF membranes increased from 21.45% to 73.95% with increasing PTSA concentration and ICP time. The optimal TpPa3%-15 membrane had a water permeability of approximately 3.74 L−1 m−2 h−1 bar−1 and substantial enhancement of Na2SO4 rejection from 19.7% to 90.4%. The 30-day duration of the cross-flow operation measurement demonstrated excellent stability and robust selectivity of SO42− and Cl− for the optimal TpPa3%-15 membrane. In addition, the optimal membrane exhibited excellent desalination performance for divalent ions in petrochemical wastewater and shale gas produced water than that of pristine membrane, rendering their applicability for industrial wastewater desalination. The mechanisms analysis verified that PTSA induced disorder multilayer stacking of crystalline COF crystals on the substrate surface, resulting in reduced pore sizes and increased desalination of the COF membranes. As the traditional IP process, this work proposed that PTSA mediated ICP process was a facile, scalable and time-saving approach for the construction of highly crystalline COF membranes with sub-nanometer pores to achieve enhanced desalination performance.

Recycling End-of-Life RO Membranes for NF Membranes via Layer-by-Layer Assembly and Interfacial Polymerization

To solve the problem of environmental pollution caused by waste reverse osmosis (RO) membranes, we recycled the end-of-life (EoL) RO membrane by a cleaning-healing-interfacial polymerization (IP) method and reused it as a nanofiltration (NF) membrane. In this work, the influence of the regenerated ultrafiltration (UF) membrane repaired in different ways on the subsequent IP process and the performance of the NF membrane were discussed. The NF membrane prepared with 2.0 layers of LbL self-assembled healed membranes had a pure water permeability (PWP) of 7.25 L·m–2·h–1·bar–1, which also showed excellent long-term working stability and fouling resistance. The rejection rates were all above 99.5% for Na2SO4 solutions with different concentrations, disclosing that the regenerated membranes can be considered as tight nanofiltration membranes. This works provided an economic and environmental protection management method for the future treatment of waste RO membrane modules.

Towards a real-time IoT: Approaches for incoming packet processing in cyber–physical systems

Embedded real-time devices for monitoring, controlling, and collaboration purposes in cyber–physical systems are now commonly equipped with IP networking capabilities. However, the reception and processing of IP packets generates workloads in unpredictable frequencies as networks are outside of a developer’s control and difficult to anticipate, especially when networks are connected to the internet. As of now, embedded network controllers and IP stacks are not designed for real-time capabilities, even when used in real-time environments and operating systems.Our work focuses on real-time aware packet reception from open network connections, without a real-time networking infrastructure. This article presents two experimentally evaluated modifications to the IP processing subsystem and embedded network interface controllers of constrained IoT devices. The first, our software approach, introduces early packet classification and priority-aware processing in the network driver. In our experiments this allowed the network subsystem to remain active at a seven-fold increase in network traffic load before disabling the receive interrupts as a last resort. The second, our hardware approach, makes changes to the network interface controller, applying interrupt moderation based on real-time priorities to minimize the number of network-generated interrupts. Furthermore, this article provides an outlook on how the software and hardware approaches can be combined in a co-designed packet receive architecture.

Antifouling nanofiltration membrane atop nanofibrous scaffold with periodical diagonal microprotrusion

Tuning the surface structure and roughness of selective layer is effective but a challenge to enhance the permeance and antifouling performance of nanofiltration membrane without sacrificing selectivity. In this work, we developed a novel method to engineer an aromatic polyamides (PA) selective layer atop nanofibrous scaffold with periodical diagonal microprotrusion, which inherits from the morphology of twill fabric. The hydrophilic nanofiber layer presents a compact feature (pore size: 100–300 nm) and high conformality towards the fabric support with twill morphology beneficial to the IP process. The generated PA nanofiltration membrane presented a hierarchical surface structure involving periodical diagonal microprotrusion (around 85 μm cell distance) and ridge-valley structure (∼100 nm). The resultant membrane exhibited not only a high permeance of 31.7 L m−2 h−1 bar−1 and a rejection rate of 97.5% to Na2SO4 solution, but also ameliorated antifouling performance with a high flux recovery rate larger than 96.5% in five filtration-washing tests. This is attributed to the synergistic effects between highly porous nanofiber scaffold and the eddy self-cleaning function derived from periodical diagonal microprotrusion of the fabric supported by the numerical simulation study. This work presents the superiority in designing high permeable membranes with excellent antifouling performance for advanced nanofiltration application.

Radiation-Tolerant Deep Learning Processor Unit (DPU)-Based Platform Using Xilinx 20-nm Kintex UltraScale FPGA

This paper presents a platform and design approach for enabling radiation-tolerant deep learning acceleration on SRAM-based 20nm Kintex UltraScale™ FPGAs, for terrestrial and high-radiation environments. The presented platform is suitable for deep neural network (DNN) implementations with an emphasis on image classification and includes solutions to mitigate both radiation-induced Single Event Functional Interrupts (SEFIs) and network datapath corruptions. The radiation-tolerant deep learning platform combines Xilinx’s Deep Learning Processing Unit (DPU) IP, Triple Modular Redundancy (TMR) MicroBlaze soft processor IP and Soft Error Mitigation (SEM)-IP to mitigate SEFIs. Furthermore, a technique known as Fault Aware Training (FAT) was applied to effectively mitigate single event effects in the datapath. Test results from a high-energy proton beam (> 60 MeV) experiment using the ResNet-18 Convolutional Neural Network (CNN) for image classification are presented. The Single Event Upset (SEU) rate, system-level SEFI rate and neural network classification/datapath performance are compared between the radiation-tolerant platform and a standard, non-mitigated approach. Results show that datapath classification errors dominate the system response (90%) vs. SEFIs (10%). When compared to standard non-mitigated training techniques, the radiation-tolerant platform using fault aware training methods shows dramatic improvements in overall system response: the overall single event cross-section was reduced by half and 40% reduction in misclassification errors were observed. Also, datapath events with classification accuracy degradation larger than 5% were completely mitigated. The SEFI rate was reduced by 100X with implemented solutions and can be further reduced by optimizing the physical separation between TMR modules.

PH-regulated interfacially polymerized nanofiltration membranes to achieve high separation of NOM and moderate desalination for purifying ground water

Highly permeable nanofiltration (NF) membranes with efficient natural organic matter (NOM) removal yet preserving essential minerals are of great significance for purifying ground water. In this work, a novel pH-regulated interfacial polymerization (PRIP) strategy was proposed to fabricate ultra-low pressure NF membranes. This strategy was achieved by changing the aqueous solution pH (5, 7, 9, and 11) during IP process. The effects of pH-regulated processes on the structure, chargeability, and physicochemical properties of NF membranes were systematically investigated. Tailored NF membranes under acidic conditions (TFC-pH 5) achieved the ultrahigh permeability of 42.9 L m−2 h−1 bar−1 and 83.3 % moderate rejection of Na2SO4. For the NF membranes prepared under alkaline conditions (TFC-pH 11), the sieving capacity was obviously improved with fewer defects, and 99.4 % rejection of Na2SO4 was observed. In addition, the purification performance of NF membranes in ground water treatment was further studied. Modified NF membranes showed significant removal of NOM and retain moderate amounts of mineral salts. Finally, the mechanism of the pH-regulated influence on the polyamide active layer formation process was proposed. This study provides a feasible and facile design idea for ultralow-pressure NF membranes in purifying ground water.

A novel synergistic effect of TiO2 and ZnO incorporation in PES-based thin-film nanocomposite nanofiltration membrane for treatment of textile wastewater.

A novel synergistic effect of TiO2 and ZnO incorporation in the PES-based thin-film nanocomposite nanofiltration membranes was developed for the treatment of common effluent treatment plant (CETP) textile wastewater. PES@TiO2 membranes were developed by phase inversion via the immersion precipitation method followed by the addition of zinc oxide nanoparticles prepared by the rapid microwave-assisted hydrothermal process via interfacial polymerization. p-Phenylenediamine was used as a monomer for the IP process that was coated on the PES@TiO2 support layer. Various techniques have been applied to characterize the developed thin-film nanocomposite membranes such as Fourier transform infrared (FTIR) microscopy, field emission scanning electron microscopy (FESEM), X-ray powder diffraction (XRD), and contact angle measurement to examine the presence of vibrational modes, surface morphology, the crystal structure of nanoparticles, and hydrophilicity of the membrane, respectively. Membrane properties include porosity, salt rejection, mean pore radius, pure water flux, and industrial effluent rejection efficiency that were studied. The thin-film nanocomposite membrane T5-PES@TiO2(2%)-ZnO(0.3%) was prepared with a combination of 17 wt% PES, 78 wt% DMF, 3 wt% PVP K30, 2% TiO2, 2.5 wt% PPD, 0.3 wt% ZnO, and 1.0 wt% TMC that exhibited high water permeability, porosity, higher industrial effluent rejection, and salt rejection efficiency compared to the neat PES membrane.

Fabrication of fluorinated polyamide seawater reverse osmosis membrane with enhanced boron removal

Developing a reverse osmosis membrane with desirable water/salt selectivity and boron removal has been recognized as crucial for high-efficient seawater desalination. Herein, fluorinated seawater reverse osmosis (SWRO) membranes were fabricated via fluorine-containing monomers-mediated interfacial polymerization or surface modification by grafting fluorine-containing monomers atop nascent polyamide (PA) layer via a second interfacial reaction. The fluorinated molecules, 5-(trifluoromethyl)-1.3-phenylenediamine (TFPD), 3,5-bis(trifluoromethyl) benzoyl chloride (TFBC) or 2,2,2-trifluoroethylamine (TFEA), were confirmedly integrated into the PA matrix presumably via strong chemical covalent bonds, which manipulated the physicochemical properties of the PA layer, including surface hydrophilicity, pore size distribution, cross-linking degree and interactions between membrane and solutes, thereby producing a high-selectivity thin-film composite (TFC) membrane. The optimized membranes, i.e., TFC-TFPD, TFC-TFBC and TFC-TFEA, presented significantly excellent separation performance than the control and commercial membrane, both in water/salt selectivity and boron removal capability, accompanied by a comparable water permeance. Among the three proposed incorporation method of fluorinated monomers, direct grafting of TFEA upon the nascent PA layer demonstrates the best efficiency in introducing fluorine elements in the TFC PA membranes, compared to the addition of TFPD and TFBC into aqueous and organic phases during IP process, respectively. The fluorine-incorporated strategy employed in this present work offered a new design of the PA layer containing fluorinated molecules to obtain the desired permselectivity of TFC SWRO membranes towards efficient removal of salt and boron acid in seawater desalination.

On the benefits of point-to-multipoint coherent optics for multilayer capacity planning in ring networks with varying traffic profiles

Point-to-multipoint (P2MP) coherent optics using digital subcarrier multiplexing have recently been proposed as a promising new technology to reduce the cost and complexity of optical transport networks, particularly those in metro aggregation scenarios with hub-and-spoke (H&S) traffic patterns. In this paper, we perform a case study on fault tolerant ring networks with more general traffic profiles to assess the benefits of P2MP optics for alternative network scenarios such as those appearing in metro rings. We propose mixed integer linear programming formulations for multilayer capacity planning to minimize total transceiver costs, considering both point-to-point and P2MP transceivers, as well as a heuristic approach for the more complex P2MP case. Results indicate that P2MP optics can bring several advantages for all tested traffic profiles, ranging from pure uniform flows to mostly H&S. Transceiver cost savings are achieved in various cases, greater at higher network loads and for traffic patterns that are mostly H&S. Results also show that P2MP optics prompt a multilayer redesign of the network with significantly reduced spectrum usage and a reduced number of IP hops, resulting in lower optical–electronic–optical and IP processing latency and lower IP layer equipment costs for all traffic profiles.

High performance nanofiltration membrane using self-doping sulfonated polyaniline

Herein, an interlayered-enhanced thin film composite (i-TFC) membrane with excellent separation performance was fabricated using self-doping sulfonated polyaniline (SPANI) nanofibers. SPANI nanofibers were synthesized via two kind of sulfonated reagents and used for comparison. Nanofibrous SPANI can generate an excellent interlayer of membrane, which effectively mediates the IP process and promotes the formation of nanostructured polyamide (PA) layers with superior sieving ability. The increase in degree of sulfonation in an interlayer exhibits superior hydrophilicity, which is favorable for the formation of a thinner and defect-free PA layer. The SPANI of high degree of sulfonation also endows the i-TFC membrane with a high water permeance up to 29.35 ± 1.23 L m−2 h−1 bar−1, while maintaining a competitive selectivity of 4.60 for Mg2+/Na+ and 76.01 for SO42−/Cl−, as well as good retention capacities for both Na2SO4 (98.92 ± 0.45%) and MgSO4 (96.21 ± 0.75%).

Nanofiltration membrane fabrication by the introduction of polyhedral oligomeric silsesquioxane nanoparticles: Feasibility evaluation and the mechanisms for breaking “trade-off” effect

To break the “trade-off” effect and alleviate fouling of nanofiltration (NF) membranes, a variety of polyhedral oligomeric silsesquioxane (POSS) nanomaterials with different functional groups were selected to modify the selective layer. The feasibility of POSS-modified membranes and their performance have been comprehensively evaluated. Compared to the hydrophobic POSS, the water-soluble POSS endowed the NF membranes with enhanced permeability and selectivity owing to the hydrophilic groups and the excellent diffusion in the aqueous solution. Furthermore, the octylamino-POSS was effectively activated by triethylamine, generating more amino groups and participating in the IP process, and providing effective routes to sieve water and Na2SO4. The resultant membrane, i.e., OPN(II) membrane, presented significantly better performance than the pristine PA membrane, both in water flux (90 L/m2h vs. 58 L/m2h) and rejection of Na2SO4 (98% vs. 91%). This OPN(II) membrane also showed consistently higher rejections for all tested salts and recalcitrant organics, accompanying with the improved stability and antifouling capability. Its flux recovery ratio reached up to 85.0%, higher than that of the PA membrane of 79.2%. This work has provided a facile method to prepare thin film composite membrane with enhanced performance, thereby outlining a new way to break the “trade-off” effect of NF membranes.

Engineering novel high-flux thin-film composite (TFC) hollow fiber nanofiltration membranes via a facile and scalable coating procedure

A novel defect-free polyamide/(polyether sulfone/poly(vinylidene fluoride)) PA/(PES/PVDF) thin-film composite (TFC) hollow fiber membrane (HFM) with desirable separation characteristics were developed through a facile and scalable coating procedure. By the introduction of piperazine (PIP) monomers into the PES coating solutions, the functional monomer-enriched PES coating layer was formed on the shell side of porous matrix-reinforced hollow fiber (HF) support through phase inversion process. Subsequently, PIP and TMC was interfacial polymerized during the fiber coating line to form a thin and defect-free polyamide (PA) functional layer for TFC HFM with high water permeability. Furthermore, the introduction of aqueous monomers only into the PES layer allowed economizing the cost of membrane manufacturing compared with bulk modification of the membrane substrate. Interestingly, the formation of bowl-like structures endowed the separation layer with higher permeation surface area and thus favored high water permeability. On combining these separation features, the optimized TFC membranes presented a high pure water permeability (PWP) of 13.8 L·m−2·h−1·bar−1, approximately twice than that of conventional TFC membrane, with a satisfying Na2SO4 rejection of 98.2%. Moreover, the PA/(PES/PVDF) TFC HFM exhibited excellent stability, backwash ability and anti-fouling ability, suggesting its huge potential for the water purification. Compared with the conventional two-step IP process on flat sheet membrane, the in-situ IP procedure performed on HF greatly simplifies the manufacturing process, shortens the production period and reduces monomer usage while the high packing density and great surface area per unit volume are obtained. This work may provide a simple and economical strategy for engineering high-performance TFC HFM.

New insights on interfacial polymerization kinetics of polyaniline

AbstractThe kinetics on the interfacial polymerization, IP, of polyaniline, PANI, has been studied by in situ dynamic conductivity measurement. Experimentally, the IP process was performed in classical and nonclassical by varying the ratio of upper/bottom phase volume in symmetrical or asymmetrical, respectively. Recorded dynamic solution conductivity, μ, curves showed that the fully PANI IP process has three stages: when the time, t, increase caused the μ stable at the first stage, rapid enhancement to the highest at the second stage, and then again stable while at a higher equilibrium level at the third stage. By defining the dμ/dt as the dynamic polymerization rate, rd, and the drd/dt as the dynamic polymerization acceleration, ad, respectively, the presented relative curves shown that the rd and ad both were varied in whole IP process while the increase was only at the second IP stage. Comparisons found that the increase of the time for rd and ad approaching to the greatest at the second stage was important for enhancing the conductivity of PANI, and the nonclassical IP process, especially the enhancement of the bottom phase volume, was the better than the others.

Electrostatic-modulated interfacial polymerization toward ultra-permselective nanofiltration membranes

SummaryInterfacial polymerization (IP) is a platform technology for ultrathin membranes. However, most efforts in regulating the IP process have been focused on short-range H-bond interaction, often leading to low-permselective membranes. Herein, we report an electrostatic-modulated interfacial polymerization (eIP) via supercharged phosphate-rich substrates toward ultra-permselective polyamide membranes. Phytate, a natural strongly charged organophosphate, confers high-density long-range electrostatic attraction to aqueous monomers and affords tunable charge density by flexible metal-organophosphate coordination. The electrostatic attraction spatially enriches amine monomers and temporally decelerates their diffusion into organic phase to be polymerized with acyl chloride monomers, triggering membrane sealing and inhibiting membrane growth, thus generating polyamide membranes with reduced thickness and enhanced cross-linking. The optimized nearly 10-nm-thick and highly cross-linked polyamide membrane displays superior water permeance and ionic selectivity. This eIP approach is applicable to the majority of conventional IP processes and can be extended to fabricate a variety of advanced membranes from polymers, supermolecules, and organic framework materials.