Abstract: A secondary battery cell includes a cathode of a first electrode material, an anode of a second electrode material, and a solid polymer electrolyte layer disposed between the cathode and anode. The solid polymer electrolyte includes a first surface in contact with the cathode and a second surface in contact with the anode. The solid polymer electrolyte layer includes a cellulosic polymer matrix. The cellulosic polymer matrix includes a network of the cellulosic polymer. Lithium ions are dispersed in the cellulosic polymer matrix. Ceramic particles are dispersed in the cellulosic polymer matrix. The ceramic particles include a metal oxide. One or more plasticizers are dispersed in the cellulosic polymer matrix. One or more polymer networks are in contact with the cellulosic polymer matrix. The one or more polymer networks include an acrylate-containing polymer.

Abstract: A solid polymer electrolyte precursor composition includes (i) one or more organic solvents; (ii) one or more cellulosic polymers dissolved in the organic solvent(s); (iii) one or more polymerizable components dissolved or dispersed in the organic solvent(s); (iv) one or more photo-initiators dissolved or dispersed in the organic solvent(s), where at least one of the one or more photo-initiators, following irradiation with light, promotes polymerization of at least one of the one or more polymerizable components; (v) one or more lithium ion sources dissolved or dispersed in the organic solvent(s); (vi) one or more plasticizers dissolved or dispersed in the organic solvent(s); and (vii) one or more ceramic particles dissolved or dispersed in the organic solvent(s).

Abstract: A solid polymer electrolyte precursor composition includes (i) one or more organic solvents; (ii) one or more cellulosic polymers dissolved in the organic solvent(s); (iii) one or more polymerizable components dissolved or dispersed in the organic solvent(s); (iv) one or more photo-initiators dissolved or dispersed in the organic solvent(s), where at least one of the one or more photo-initiators, following irradiation with light, promotes polymerization of at least one of the one or more polymerizable components; (v) one or more lithium ion sources dissolved or dispersed in the organic solvent(s); (vi) one or more plasticizers dissolved or dispersed in the organic solvent(s); and (vii) one or more ceramic particles dissolved or dispersed in the organic solvent(s).

Abstract: A secondary battery cell includes a cathode of a first electrode material, an anode of a second electrode material, and a solid polymer electrolyte layer disposed between the cathode and anode. The solid polymer electrolyte includes a first surface in contact with the cathode and a second surface in contact with the anode. The solid polymer electrolyte layer includes a cellulosic polymer matrix. The cellulosic polymer matrix includes a network of the cellulosic polymer. Lithium ions are dispersed in the cellulosic polymer matrix. Ceramic particles are dispersed in the cellulosic polymer matrix. The ceramic particles include a metal oxide. One or more plasticizers are dispersed in the cellulosic polymer matrix. One or more polymer networks are in contact with the cellulosic polymer matrix. The one or more polymer networks include an acrylate-containing polymer.

Abstract: In some examples, a computing device refines feature information of query text. The device repeatedly determines attention information based at least in part on feature information of the image and the feature information of the query text, and modifies the feature information of the query text based at least in part on the attention information. The device selects at least one of a predetermined plurality of outputs based at least in part on the refined feature information of the query text. In some examples, the device operates a convolutional computational model to determine feature information of the image. The device network computational models (NCMs) to determine feature information of the query and to determine attention information based at least in part on the feature information of the image and the feature information of the query. Examples include a microphone to detect audio corresponding to the query text.

Abstract: In some examples, a computing device refines feature information of query text. The device repeatedly determines attention information based at least in part on feature information of the image and the feature information of the query text, and modifies the feature information of the query text based at least in part on the attention information. The device selects at least one of a predetermined plurality of outputs based at least in part on the refined feature information of the query text. In some examples, the device operates a convolutional computational model to determine feature information of the image. The device network computational models (NCMs) to determine feature information of the query and to determine attention information based at least in part on the feature information of the image and the feature information of the query. Examples include a microphone to detect audio corresponding to the query text.

Abstract: Hybrid materials and nanocomposite materials, methods of making and using such materials. The nanoparticles of the nanocomposite are formed in situ during pyrolysis of a hybrid material comprising metal precursor compounds. The nanoparticles are uniformly distributed in the carbon matrix of the nanocomposite. The nanocomposite materials can be used in devices such as, for example, electrodes and on-chip inductors.

Abstract: In some examples, a computing device refines feature information of query text. The device repeatedly determines attention information based at least in part on feature information of the image and the feature information of the query text, and modifies the feature information of the query text based at least in part on the attention information. The device selects at least one of a predetermined plurality of outputs based at least in part on the refined feature information of the query text. In some examples, the device operates a convolutional computational model to determine feature information of the image. The device network computational models (NCMs) to determine feature information of the query and to determine attention information based at least in part on the feature information of the image and the feature information of the query. Examples include a microphone to detect audio corresponding to the query text.

Abstract: Hybrid materials and nanocomposite materials, methods of making and using such materials. The nanoparticles of the nanocomposite are formed in situ during pyrolysis of a hybrid material comprising metal precursor compounds. The nanoparticles are uniformly distributed in the carbon matrix of the nanocomposite. The nanocomposite materials can be used in devices such as, for example, electrodes and on-chip inductors.