Abstract: The invention refers to an apparatus (110) for predicting a technical application property for a polymer based on a digital representation of the polymer. A digital representation providing unit (111) provides a digital representation of the polymer indicative of polymer descriptors. The polymer descriptors are indicative of parameters quantifying physicochemical characteristics of subgroups of the polymer. A prediction model providing unit (112) provides a prediction model adapted to predict a technical application property of the polymer based on the digital representation, wherein the prediction model is a data-driven model parametrized such that it predicts based on the polymer descriptors indicated by the digital representation the technical application property associated with the polymer. A property determination unit (113) determines the technical application property based on the provided digital representation of the polymer and the prediction model.

Abstract: Disclosed herein is a particulate material of the composition LiaMgb)i+x(NicM1dM2e)1?xO2 where M1 is selected from Ti, Zr, Nb, Mo, and W, and combinations of at least two thereof; M2 is selected from Al, Co, Mn, and combinations of at least two thereof; a:b is in the range of from 100:1 to 400:1, and a+b=1; c:d is in the range of from 40:1 to 250:1, and c:e is in the range of from 12:1 to 50:1; and c+d+e=1; the total molar ratio of (Li+Mg) to (Ni+M1+M2) is in the range of from 1:1 to 1.05:1; and 0.00?x?0.05, where the particulate material has an average particle diameter (D50) in the range of from 2 to 20 ?m.

Abstract: A test system (110) for determining battery performance during development of a battery configuration in a test environment is proposed. The test system (110) comprises at least one communication interface (114) and at least one processing device (122). The test system (110) is configured for receiving operating data indicative of at least one test protocol via the communication interface (114). The test system (110) is configured for receiving battery performance input data via the communication interface (114). The processing device (122) is configured for determining at least one predicted time series of at least one state variable indicative of battery performance based on the battery performance input data and on the operating data using at least one data driven model. The test system (110) is configured for providing at least parts of the predicted time series of the state variable.

Abstract: Process for making an electrode active material according to general formula Li1+xTM1?xO2, wherein TM is a combination of Ni and Co and Zr and at least one metal selected from Mn and Al, and, optionally, at least one of Mg, Ti, and W, wherein GC at least 60 mole-% is Ni, referring to the sum of Ni, Co and, if applicable, Mn and Al, and x is in the range of from zero to 0.2, said process comprising the following steps: (a) mixing (A) a mixed oxide or oxyhydroxide of Ni, Co and, if applicable, Mn, (B) at least one lithium compound selected from lithium hydroxide, lithium oxide and lithium carbonate, and (C) at least one oxide or hydroxide or oxyhydroxide of Zr with an average diameter D50 in the range of from 1 to 7 ?m, and in compounds (C) that are selected from oxides of Zr, their crystallite size is in the range of from 5 to 20 nm and (b) Subjecting said mixture to heat treatment at a temperature in the range of from 700 to 1000° C.

Abstract: A finger training apparatus comprising a glove with anchors attached to one or more fingertips and detachably fastened to keys, buttons, or valves of a musical instrument, controller, or handheld device to prevent slippage of the operator's fingers in order to train the operator to maintain proper finger positioning.