Lithium-ion battery degradation trajectory early prediction with synthetic dataset and deep learning

Knowing the long-term degradation trajectory of Lithium-ion(Li-ion) battery in its early usage stage is critical for the maintenance of the battery energy storage system(BESS) in reality. Previous battery health diagnosis methods focus on capacity and state of health(SOH) estimation which can receive only the short-term health status of the cell. This paper proposes a novel degradation trajectory prediction method with synthetic dataset and deep learning, which enables to grasp the characterizat...     

Machine learning and semi-empirical calculations: a synergistic approach to rapid,accurate, and mechanism-based reaction barrier prediction

Modern QM modelling methods, such as DFT, have provided detailed mechanistic insights into countless reactions. However, their computational cost inhibits their ability to rapidly screen large numbers of substrates and catalysts in reaction discovery. For a C–C bond forming nitro-Michael addition, we introduce a synergistic semi-empirical quantum mechanical (SQM) and machine learning (ML) approach that allows the prediction of DFT-quality reaction barriers in minutes, even on a standard laptop using widely available modelling software. Mean absolute errors (MAEs) are obtained that are below the accepted chemical accuracy threshold of 1 kcal mol⁻¹ and substantially better than SQM methods without ML correction (5.71 kcal mol⁻¹). Predictive power is shown to hold when the ML models are applied to an unseen set of compounds from the toxicology literature. Mechanistic insight is also achieved via the generation of full SQM transition state (TS) structures which are found to be very good approximations for the DFT-level geometries, revealing important steric interactions in some TSs. This combination of speed, accuracy, and mechanistic insight is unprecedented; current ML barrier models compromise on at least one of these important criteria.

A synergistic approach that combines machine learning with semi-empirical methods enables the fast and accurate prediction of DFT-quality reaction barriers, with mechanistic insights available from semi-empirical transition state geometries.     

锂离子电池正极材料LiFePO_4的微波合成及结构表征

以乙酸锂、草酸亚铁、磷酸二氢铵为原料,利用微波法制备出锂离子正极材料磷酸亚铁锂,同时在不同的时间下研究其对反应物合成的影响.用X射线衍射技术、扫描电子显微镜等对产品的晶体结构进行表征,结果表明:微波合成法具有反应时间短、能耗小、合成效率高等优点,其合成的磷酸亚铁锂的晶体结晶度较好、粒度分布较均匀、晶粒比较完整;同时也证实了微波合成是一种比较好的合成方法.     

锂离子电池正极材料LiFePO4的微波合成及结构表征

以乙酸锂、草酸亚铁、磷酸二氢铵为原料,利用微波法制备出锂离子正极材料磷酸亚铁锂,同时在不同的时间下研究其对反应物合成的影响.用X射线衍射技术、扫描电子显微镜等对产品的晶体结构进行表征,结果表明：微波合成法具有反应时间短、能耗小、合成效率高等优点,其合成的磷酸亚铁锂的晶体结晶度较好、粒度分布较均匀、晶粒比较完整;同时也证实了微波合成是一种比较好的合成方法.     

Machine learning techniques for the prediction of the peptide mobility in capillary zone electrophoresis

Three machine learning techniques including back propagation artificial neural network (BP-ANN), radial basis function artificial neural network (RBF-ANN) and support vector regression (SVR) were applied to predicting the peptide mobility in capillary zone electrophoresis through the development of quantitative structure-mobility relationship (QSMR) models. A data set containing 102 peptides with a large range of size, charge and hydrophobicity was used as a typical study. The optimal modeling parameters of the models were determined by grid-searching approach using 10-fold cross-validation. The predicted results were compared with that obtained by the multiple linear regression (MLR) method. The results showed that the relative standard errors (R.S.E.) of the developed models for the test set obtained by MLR, BP-ANN, RBF-ANN and SVR were 11.21%, 7.47%, 5.79% and 5.75%, respectively, while the R.S.E.s for the external validation set were 11.18%, 7.87%, 7.54% and 7.18%, respectively. The better generalization ability of the QSMR models developed by machine learning techniques over MLR was exactly presented. It was shown that the machine learning techniques were effective for developing the accurate and relaible QSMR models.     

Preparation and characterization of three-dimensionally ordered mesoporous titania microparticles as anode material for lithium ion battery

Three-dimensionally (3D) ordered mesoporous titania (anatase) microparticles without substrate were prepared by using polystyrene (PS) colloidal crystal as a template and characterized by transmission electron microscopy, X-ray diffraction, thermogravimetry and electrochemical measurement. As anode materials for lithium ion battery, they present eximious kinetic performance and good capacity retention due to their special architecture with mesoporous channels and thin walls, which are beneficial to the diffusion of lithium ions. Besides, mixing 3D ordered mesoporous titania microparticles with conductive additive can reduce the resistance of the anode, favor the mobility of the electrons, and decrease the polarization.     

Isoxazole derivatives of silatrane: synthesis,characterization, in silico ADME profile,prediction of potential pharmacological activity and evaluation of antimicrobial action

A new family of mono- ( 3a-h ) and bis- ( 4a-g ) isoxazole-bridged silatranes has been synthesized by the reaction of 3-aminopropylsilatrane ( 1 ) and 3-substituted 5-chloro-methylisoxazoles ( 2a-h ). The structure of the isoxazole-silatrane hybrids is characterized by elemental analysis, FT-IR, UV, NMR (¹H, ¹³C,²⁹Si and ¹⁵N) spectroscopy, high-resolution mass spectrometry, and X-ray diffraction analysis. The in silico ADME (absorption, distribution, metabolism, excretion) assessment reveals that properties of mono-adducts ( 3a-h ) are similar to those of drugs obeyed to the Lipinski's rule. The calculated screening of potential pharmacological activity profiles (in silico PASS program) of isoxazole-silatranes shows that all synthesized compounds (both mono- and bis-substituted) may have high antitumor action, unlike starting isoxazoles. The preliminary screening of the synthesized silatranes for antimicrobial activity against Enterococcus durans, Bacillus subtilis, Escherichia coli, and Pseudomonas aeruginosa indicates that all test samples are active only against gram-positive microorganisms. Silatrane 3f displays minimal inhibitory concentration (MIC 12.5 and 6.2 μg ml⁻¹) against E. durans and B. subtilis as compared with standard drug gentamicin (MIC 25 and 50 μg ml⁻¹).     

HPMA copolymer-doxorubicin-gadolinium conjugates: synthesis, characterization, and in vitro evaluation

This study describes the synthesis, characterization, and in vitro evaluation of N-(2-hydroxypropyl)methacrylamide (HPMA) copolymer-gadolinium (Gd)-doxorubicin (Dox) conjugates. Copolymers of HPMA were derivatized to incorporate side chains for Gd chelation and Dox conjugation. The conjugates were characterized by their side chain contents, T(1) relaxivity (r(1)), stability, and in vitro cytotoxicity. High stability and relaxivity of these conjugates coupled with low toxicity show their potential for monitoring the in vivo fate of HPMA-based drug delivery systems by magnetic resonance imaging techniques.     

Preparation and characterization of high-rate and long-cycle LiFePO4/C nanocomposite as cathode material for lithium-ion battery

Olivine LiFePO₄/C nanocomposite cathode materials with small-sized particles and a unique electrochemical performance were successfully prepared by a simple solid-state reaction using oxalic acid and citric acid as the chelating reagent and carbon source. The structure and electrochemical properties of the samples were investigated. The results show that LiFePO₄/C nanocomposite with oxalic acid (oxalic acid: Fe²⁺= 0.75:1) and a small quantity of citric acid are single phase and deliver initial discharge capacity of 122.1 mAh/g at 1 C with little capacity loss up to 500 cycles at room temperature. The rate capability and cyclability are also outstanding at elevated temperature. When charged/discharged at 60 °C, this materials present excellent initial discharge capacity of 148.8 mAh/g at 1 C, 128.6 mAh/g at 5 C, and 115.0 mAh/g at 10 C, respectively. The extraordinarily high performance of LiFePO₄/C cathode materials can be exploited suitably for practical lithium-ion batteries.     

有色金属冶炼中含砷物料的除砷技术研究现状

综述了砷对冶金、环境以及人类的危害,阐述了冶金工业中含砷物料的除砷技术的发展现状,介绍了各种技术的原理、应用,分析了各种技术的优缺点,展望了除砷技术的发展方向。     

Machine learning modelling of chemical reaction characteristics: yesterday,today, tomorrow

The synthesis of the desired chemical compound is the main task of synthetic organic chemistry. The predictions of reaction conditions and some important quantitative characteristics of chemical reactions as yield and reaction rate can substantially help in the development of optimal synthetic routes and assessment of synthesis cost. Theoretical assessment of these parameters can be performed with the help of modern machine-learning approaches, which use available experimental data to develop predictive models called quantitative or qualitative structure–reactivity relationship (QSRR) modelling. In the article, we review the state-of-the-art in the QSRR area and give our opinion on emerging trends in this field.     

Machine learning for flow batteries: opportunities and challenges

With increased computational ability of modern computers, the rapid development of mathematical algorithms and the continuous establishment of material databases, artificial intelligence (AI) has shown tremendous potential in chemistry. Machine learning (ML), as one of the most important branches of AI, plays an important role in accelerating the discovery and design of key materials for flow batteries (FBs), and the optimization of FB systems. In this perspective, we first provide a fundamental understanding of the workflow of ML in FBs. Moreover, recent progress on applications of the state-of-art ML in both organic FBs and vanadium FBs are discussed. Finally, the challenges and future directions of ML research in FBs are proposed.

A fundamental workflow of ML in flow batteries and recent progress of the state-of-art ML applications in both organic FBs and vanadium FBs are discussed. The challenges and future directions of ML research in FBs are proposed.     

SrFeO4: Synthesis,Fe(VI) characterization and the strontium super-iron battery

Cathodes comprised of Fe(VI) salts, and capable of three electron reduction, are useful for the formation of energetic super-iron batteries. This study presents a synthesis procedure for SrFeO₄ or strontium super-iron cathodic salts, and also introduces mixed salts containing barium and strontium cations, Sr_xBa_(1−x)FeO₄. The X-ray diffraction and first IR spectra of SrFeO₄ are presented, and compared to known spectra of K₂FeO₄ and BaFeO₄. The measured solubility of SrFeO₄ is low in concentrated KOH electrolytes (0.001 mM in 13.5 M KOH), of use for alkaline cathodic chemistry. AAA batteries were prepared and discharged with this new cathode, and exhibit high discharge energies, approaching, but lower than those previously observed for barium super-iron alkaline batteries. The discharge energy further approaches the barium cell when the mixed cathode salt is employed, particularly for x=0.25–0.5 in Sr_xBa_(1−x)FeO₄.     

Rhodanine-based biologically active molecules: synthesis,characterization, and biological evaluation

To investigate the antimicrobial properties of the rhodanine (2-thioxo-4-thiazolidinone) structure, several 2-[(5Z)-5-benzylidene-4-oxo-2-thioxo-1,3-thiazolidin-3-yl]-N-phenylacetamide derivatives were synthesized by use of an efficient procedure. Variation of the functional group on the 5-benzylidine ring of rhodanine led to compounds containing a 2-thioxo-4-thiazolidinone group attached to N-phenyl acetamide. The chemical structures of the compounds were confirmed by IR, ¹H NMR, and ¹³C NMR spectroscopy, ESI mass spectrometry, and elemental analysis. The antibacterial and antifungal activity of the compounds were tested, at seven concentrations, against Gram-positive bacterial strains (Pseudomonas aeruginosa ATCC 27853 and Escherichia coli ATCC 25922), Gram-negative bacterial strains (Staphylococcus aureus ATCC 25923 and Bacillus subtilis ATCC 11774), and fungal strains (Candida albicans ATCC 66027 and Aspergillus niger ATCC 6275), by use of the Kirby Bauer disk-diffusion technique and the serial broth dilution technique. The results obtained were compared with those for reference drugs. Relationships between structure and their antimicrobial activity are discussed.     

Carbon-containing electrospun nanofibers for lithium-sulfur battery:Current status and future directions

Lithium-sulfur batteries(LSBs)have become promising next-generation energy storage technologies for electric vehicles and portable electronics,due to its excellent theoretical specific energy.However,the low conductivity of sulfur species,notorious lithium dendrites,the severeshuttle effectof polysulfides(LiPSs)and the inferior kinetic reaction for LiPSs/Li₂S conversion during discharge-charge have seriously hindered their practical application,and also pose potential safety hazards.Owing to their superior porous architectures,high specific surface areas,excellent structural designability,functional modifiability,abundant active sites and flexibility of carbon-containing electrospun nanofibers(CENFs),they exhibited the superior characteristics that can simultaneously solve the above issues.In this review,we summarize the recent progress and application of CENFs in LSBs.First,we provide a brief introduction to the structure and composition controlled of carbon nanofibers by electrospinning.We then review progress in recent developments of CENFs for LSBs including cathodes,anodes,separators,and interlayers.We focus on how to solve practical issues that arise when the CENFs are applied to various parts of LSBs,and the relevant working mechanisms are described,from high sulfur loading and Li dendrites suppression to LiPSs’confinement and conversion.Finally,we summarize and propose the existing challenges and future prospects of CENFs,for the design and architecture of electrochemical components in Li-S energy storage systems.     

Preparation and characterization of carbon xerogel (CX) and CX–SiO composite as anode material for lithium-ion battery

Carbon xerogel (CX), a kind of novel carbon material with low-density and continuous nano-porous structure that can be controlled and tailored on nanometer scale, has been prepared through the sol–gel polycondensation of resorcinol (R) with formaldehyde (F) followed by drying at ambient pressure and carbonization in inert atmosphere, and CX–SiO composite has been synthesized by high energy mechanical ball-milling of the obtained CX and commercial SiO at room temperature and atmosphere. The characteristics of CX and CX–SiO as anode material for lithium-ion battery have been systematically investigated on basis of field emission scanning electron microscope (FESEM), X-ray diffraction (XRD), electrochemical and charge–discharge tests. The results showed that, CX–SiO is composed of active carbon, graphite, SiO and dispersed Si crystal while CX consists of active carbon and graphite, CX–SiO has smaller and much more uniform particles than CX. SiO can greatly improve discharge capacity of CX with an acceptable sacrifice of cycling stability, and the charge–discharge capacity of CX–SiO comes mainly from lithium insertion–extraction in Si–SiO in the sample.     

Polyamidoamine dendrimer and dextran conjugates: preparation,characterization, and in vitro and in vivo evaluation

Amide and ester conjugates of aceclofenac with polyamidoamine (PAMAM-G0) dendrimer zero generation and dextran (40 kDa) polymeric carrier, respectively, are presented. The prepared conjugates were characterized by UV, TLC, HPLC, IR, and ¹H NMR spectroscopy. The average degrees of substitution of amide and ester conjugates were determined and found to be (12.5 ± 0.24) % and (7.5 ± 0.25) %, respectively. The in vitro hydrolysis studies showed that dextran ester conjugate hydrolyzed faster in a phosphate buffer solution of pH 9.0 as compared to PAMAM dendrimer G0 amide conjugate, and followed the first order kinetics. No amount of the drug was regenerated at pH 1.2 in simulated gastric fluid. The dextran conjugate showed short half-life as compared to the PAMAM dendrimer conjugate. Anti-inflammatory and analgesic activities of the dendrimer conjugate were found to be similar to those of the standard drug. Results of chronic ulceroginic activity showed deep ulceration and high ulcer index for aceclofenac, whereas lower ulcer index was found for the PAMAM dendrimer and dextran (40 kDa) conjugates. Experimental data suggest that PAMAM dendrimer and dextran (40 kDa) can be used as carriers for the sustained delivery of aceclofenac along with a remarkable reduction in gastrointestinal toxicity.     

Tamoxifen-loaded polymeric micelles: preparation, physico-chemical characterization and in vitro evaluation studies

Several samples of polymeric micelles, formed by amphiphilic derivatives of PHEA, obtained by grafting into polymeric backbone of PEGs and/or hexadecylamine groups (PHEA-PEG-C(16) and PHEA-C(16)) and containing different amount of Tamoxifen, were prepared. All Tamoxifen-loaded polymeric micelles showed to increase drug water solubility. TEM studies provided evidence of the formation of supramolecular core/shell architectures containing drug, in the nanoscopic range and with spherical shape. Samples with different amount of encapsulated Tamoxifen were subjected to in vitro cytotoxic studies in order to evaluate the effect of Tamoxifen micellization on cell growth inhibition. All samples of Tamoxifen-loaded polymeric micelles showed a significantly higher antiproliferative activity in comparison with free drug, probably attributable to fluidification of cellular membranes, caused by amphiphilic copolymers, that allows a higher penetration of the drug into tumoral cells. To gain preliminary information about the potential use of prepared micelles as Tamoxifen drug delivery systems, studies evaluating drug release ability of micelle systems in media mimicking biological fluids (buffer solutions at pH 7.4 and 5.5) and in human plasma were carried out. These studies, performed evaluating the amount of Tamoxifen that remains in solution as a function of time, showed that at pH 7.4, as well as in plasma, PHEA-C(16) polymeric micelles were able to release lower drug amounts than PHEA-PEG(5000)-C(16) ones, while at pH 5.5, the behavior difference between two kind of micelles was less pronounced.     

Squaraines as reporter units: insights into their photophysics, protonation, and metal-ion coordination behaviour

The synthesis, photophysical properties, protonation, and metal-ion coordination features of a family of nine aniline-based symmetrical squaraine derivatives are reported. The squaraine scaffold displays very attractive photophysical properties for a signalling unit. These dyes show absorption and weakly Stokes-shifted, mirror-image-shaped emission bands in the visible spectral range and there are no hints of multiple emission bands. The mono-exponential fluorescence decay kinetics observed for all the derivatives indicate that only one excited state is involved in the emission. These data stress the interpretation that squaraines can be regarded as polymethine-type dyes. From a coordination chemistry point of view, the squaraines possess four potential binding sites; that is, two nitrogen atoms from the anilino groups and two oxygen atoms from the central C(4)O(2) four-membered ring. These coordination sites are part of a cross-conjugated pi-system and coordination events with protons or certain metal ions affect the electronic properties of the delocalised pi-system dramatically, resulting in a rich modulation of the colour of the squaraines. The absorption band at around 640 nm is blue-shifted when coordination at the anilino nitrogen atoms occurs, whereas coordination to the C(2)O(4) oxygen atoms results in the development of red-shifted bands. Addition of more than one equivalent of protons or metal cations could additionally entail mixed N,O- or N,N-coordinated complexes, manifested in the development of a broad band at 480 nm or complete bleaching in the visible range, respectively. Analysis of the spectrophotometric titration data with HYPERQUAD yielded the macroscopic and microscopic stability constants of the complexes. Theoretical modelling of the various protonated species by molecular mechanics methods and consideration of some of the title dyes within the framework of molecular chemosensing and molecular-scale "logic gates" complement this contribution.