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The investigation of new memory schemes, neural networks, computer systems, and many other improved electronic devices is very important for the future generation’s electronic circuits and for their widespread application in all the areas of industry. In this respect, the analysis of new efficient and advanced electronic elements and circuits is an essential field of highly developed electrical and electronic engineering. The resistance-switching phenomenon, observed in many amorphous oxides, has been investigated since 1970 and is a promising technology for constructing new electronic memories. It has been established that such oxide materials have the ability for changing their conductance in accordance with the applied voltage, and for memorizing their state for long-time interval. Similar behaviour has been predicted for the memristor element by Leon Chua in 1971. The memristor is proposed in accordance with symmetry considerations and the relationships between the four basic electric quantities—electric current i, voltage v, charge q, and magnetic flux Ψ. The memristor is an essential passive one-port element together with the resistor, inductor, and capacitor. The Williams HP research group has made a link between resistive switching devices and the memristor proposed by Chua. A number of scientific papers related to memristors and memristor devices have been issued, and several memristor models have been proposed. The memristor is a highly nonlinear component. It relates the electric charge q and the flux linkage, expressed as a time integral of the voltage. The memristor element has the important capability for remembering the electric charge passed through its cross-section and its respective resistance, when the electrical signals are switched off. Due to its nano-scale dimensions, non-volatility, and memorizing properties, the memristor is a sound potential candidate for application in computer high-density memories, artificial neural networks, and many other electronic devices.

Memristor --- Titanium dioxide memristor --- Nonlinear ionic drift --- Memristor model --- Window function --- Voltage-dependent nonlinearity --- Non-volatility --- Memristor circuits --- Resistance-switching --- Memristor synaptic circuits --- Memristor Neural Network

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This book is a special collection of articles dedicated to the preparation and characterization of nanoporous materials, such as zeolitic-type materials, mesoporous silica (SBA-15, MCM-41, and KIT-6), mesoporous metallic oxides, metal–organic framework structures (MOFs), and pillared clays, and their applications in adsorption, catalysis, and separation processes. This book presents a global vision of researchers from international universities, research centers, and industries working with nanoporous materials and shares the latest results on the synthesis and characterization of such materials, which have given rise to the special interest in their applications in basic and industrial processes.

metal organic framework --- reaction mechanism --- confined environment --- glass --- adsorption --- surface properties --- copper removal --- IGC --- paraffins --- kaolin --- metakaolin --- zeolite A --- cationic dye adsorption --- ionic liquid --- ?-diimine --- nickel --- heterogenized --- ?-zeolite --- MCM-41 --- oligomerization --- mesoporous silica --- KIT-6 --- synthesis parameters --- cubic structure --- epoxidation --- cyclohexene --- niobium oxyhydroxide catalysts --- liquid/nanoporous material system --- gas amount --- degassing pretreatment --- liquid outflow --- liquid-gas interaction --- zeolites --- mesopores --- diffusion --- surfactant --- silica pillared clays --- antibiotics adsorption --- STW zeolite --- aluminosilicate --- seeds --- 2-ethyl-1,3,4-trimethylimidazolium --- hydrofluoric media --- ethanol dehydration --- zeolite --- MWW --- MCM-22 --- hierarchical zeolite --- lamellar zeolite --- layered zeolite --- two-dimensional zeolites --- swelling --- pillaring --- delaminating --- third-order nonlinearity --- self-focusing --- TPA --- porous silicon --- Z-scan --- n/a

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The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for the construction of surrogate models or reduced order models. The articles contained in this compilation were presented at the EUROMECH Colloquium 597, « Reduced Order Modeling in Mechanics of Materials », held in Bad Herrenalb, Germany, from August 28th to August 31th 2018. In this book, Artificial Neural Networks are coupled to physics-based models. The tensor format of simulation data is exploited in surrogate models or for data pruning. Various reduced order models are proposed via machine learning strategies applied to simulation data. Since reduced order models have specific approximation errors, error estimators are also proposed in this book. The proposed numerical examples are very close to engineering problems. The reader would find this book to be a useful reference in identifying progress in machine learning and reduced order modeling for computational mechanics.

parameter-dependent model --- surrogate modeling --- tensor-train decomposition --- gappy POD --- heterogeneous data --- elasto-viscoplasticity --- archive --- model reduction --- 3D reconstruction --- inverse problem plasticity --- data science --- model order reduction --- POD --- DEIM --- gappy POD --- GNAT --- ECSW --- empirical cubature --- hyper-reduction --- reduced integration domain --- computational homogenisation --- model order reduction (MOR) --- low-rank approximation --- proper generalised decomposition (PGD) --- PGD compression --- randomised SVD --- nonlinear material behaviour --- machine learning --- artificial neural networks --- computational homogenization --- nonlinear reduced order model --- elastoviscoplastic behavior --- nonlinear structural mechanics --- proper orthogonal decomposition --- empirical cubature method --- error indicator --- symplectic model order reduction --- proper symplectic decomposition (PSD) --- structure preservation of symplecticity --- Hamiltonian system --- reduced order modeling (ROM) --- proper orthogonal decomposition (POD) --- enhanced POD --- a priori enrichment --- modal analysis --- stabilization --- dynamic extrapolation --- computational homogenization --- large strain --- finite deformation --- geometric nonlinearity --- reduced basis --- reduced-order model --- sampling --- Hencky strain --- microstructure property linkage --- unsupervised machine learning --- supervised machine learning --- neural network --- snapshot proper orthogonal decomposition

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The rapid proliferation of the Internet has been driving communication networks closer and closer to their limits, while available bandwidth is disappearing due to an ever-increasing network load. Over the past decade, optical fiber communication technology has increased per fiber data rate from 10 Tb/s to exceeding 10 Pb/s. The major explosion came after the maturity of coherent detection and advanced digital signal processing (DSP). DSP has played a critical role in accommodating channel impairments mitigation, enabling advanced modulation formats for spectral efficiency transmission and realizing flexible bandwidth. This book aims to explore novel, advanced DSP techniques to enable multi-Tb/s/channel optical transmission to address pressing bandwidth and power-efficiency demands. It provides state-of-the-art advances and future perspectives of DSP as well.

optical communications --- fiber optics communications --- modulators --- mitigation of optical transceiver impairments --- digital signal processing --- multi-input multi-output --- mode-division multiplexing --- least mean squares --- frequency-domain equalization --- recursive least squares --- space–time block-coding --- mode-dependent loss --- coherent communication --- optical communication --- pluggable module --- short-reach optical links --- direct detection --- four-level pulse amplitude modulation --- digital signal processing --- equalization --- Device to Device --- caching --- Indian Buffet Process --- 400 Gigabit Ethernet --- coherent communications --- data center interconnect --- fiber optics links and subsystems --- optical communications --- QSFP-DD transceiver --- coherent communication --- quadrature phase-shift keying --- carrier phase estimation --- cycle-slip --- pilot-aided-phase-unwrap --- low-density parity-check (LDPC) --- free space optical (FSO) --- pulse position modulation–binary phase shift keying–subcarrier intensity modulation (PPM–BPSK–SIM) --- bit error rate (BER) --- pointing error --- average symbol length --- optical fiber communication --- digital signal processing --- coherent detection --- equalization --- nonlinearity compensation --- space division multiplexing --- machine learning --- neural network --- n/a

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There are many regions worldwide which are susceptible to extreme loads such as earthquakes. These can cause loss of life and adverse impacts on civil infrastructures, the environment, and communities. A series of methods and measures have been used to mitigate the effects of these extreme loads. The adopted approaches and methods must enable civil structures to be resilient and sustainable. Therefore, to reduce damage and downtime in addition to protecting life and promoting safety, new resilient structure technologies must be proposed and developed. This special issue book focuses on methods of enhancing the sustainability and resilience of civil infrastructures in the event of extreme loads (e.g., earthquakes). This book contributes proposals of and theoretical, numerical, and experimental research on new and resilient civil structures and their structural performance under extreme loading events. These works will certainly play a significant role in promoting the application of new recoverable structures. Moreover, this book also introduces some case studies discussing the implementation of low-damage structural systems in buildings as well as articles on the development of design philosophies and performance criteria for resilient buildings and new sustainable communities.

corporation --- resilience --- disaster --- recovery --- Great East Japan Earthquake --- viscous damper --- hybrid damper --- seismic performance --- cyclic loading test --- silt --- subway induced vibration --- numerical simulations --- finite element --- infinite element boundary --- measurement --- substructure --- boundary technique --- inflection point --- hybrid simulation --- force-displacement control --- integration algorithm --- pseudodynamic test, earthquake --- nonlinearity --- model-based --- Brazier effect --- angle section --- Brazier flattening --- variational method --- numerical simulation --- beam --- reinforced concrete --- corrosion --- chloride ingress --- carbonation --- probabilistic --- sustainability prediction --- cold-formed steel structure --- cold-formed steel composite shear wall building --- mid-rise --- simplified modeling method --- seismic analysis --- shaking table test --- seismic damage --- simulation model --- system restoration --- water supply networks --- progressive collapse --- abnormal loads --- sudden column removal --- seismic connection detail --- energy-based approximate analysis --- structural robustness --- structural sensitivity --- mitigation --- shaking table test --- liquefaction --- settlement --- ground improvement --- resilience-based design --- dynamic structural analysis --- GM selection --- displacement response spectrum --- structural response estimates --- spectrum variance --- probabilistic framework --- reinforced concrete frames --- liquefaction --- response surface method --- artificial neural network --- Monte Carlo simulation --- optimized section --- precast slab --- concrete --- tapered cross section --- shear performance --- ground motion --- matching pursuit decomposition --- time-frequency energy distribution --- ratcheting effect --- nonlinear response --- flow --- analysis --- concrete --- girder --- damage --- NDE --- replaceable coupling beam --- beam --- shear wall --- cyclic reversal test --- seismic behavior --- settlement --- mined-out region --- railway construction --- dynamic model --- column-top isolation --- single-layer reticulated dome --- nonlinear time-history analysis --- damping effect --- hybrid simulation --- intermediate column --- subway station --- OpenFresco --- OpenSees --- resilience --- sustainability --- civil infrastructures --- extreme loads --- natural hazards --- earthquakes --- seismic performance --- energy dissipative devices