Abstract This Comment critically examines the reported p‐type semiconductivity in 2D Cs 2 PbI 2 Cl 2 perovskite [ Adv. Funct. Mater . 2025 , 35 , 2419709]. Quantitative analysis reveals insulating behavior, with the Fermi level positioned 1.35 eV above the valence band maximum yielding effectively zero‐hole concentration. The deep valence band maximum (‒6.12 eV) exceeds established p‐type doping thresholds, creating a 0.44 eV barrier that impedes hole extraction from CsPbI 3 . Simulation parameters used to justify performance improvements contradict experimental band positions. Observed device enhancements may be attributed to interfacial passivation rather than unsubstantiated p‐type semiconductivity, highlighting the critical need for direct carrier characterization in emerging semiconductor research.
The paper describes a number of dialogue phenomena associated with negotiative dialogue, as implemented in a development version of the Talkamatic Dialogue Manager (TDM). This implementation is an initial step towards full coverage of general features of negotiative dialogue in TDM.
We introduce the concept of AI-oracle machines for intelligent computing and outline several applications to demonstrate their potential. Following this, we advocate for the development of a comprehensive platform to streamline the implementation of AI-oracle machines.
Continuous synthesis of all-inorganic, low-dimensional, bismuth-based metal halides Cs4MnBi2Cl12 with high PLQY from reversible precursors Cs3BiCl6 and Cs3Bi2Cl9 under phase engineering and application of an orange light source.
The recently reported two-dimensional (2D) Ruddlesden–Popper perovskite materials exhibit a plethora of advantages, making them an ideal candidate for constructing high-performance photodetectors.
Leon Derczynski, Annika Solveig Hedegaard Isfeldt, Signhild Djurhuus
This article documents a dataset of sentence pairs between Faroese and Danish, produced at ITU Copenhagen. The data covers tranlsation from both source languages, and is intended for use as training data for machine translation systems in this language pair.
Recent research has demonstrated that vector space models of semantics can reflect undesirable biases in human culture. Our investigation of crosslinguistic word embeddings reveals that topical gender bias interacts with, and is surpassed in magnitude by, the effect of grammatical gender associations, and both may be attenuated by corpus lemmatization. This finding has implications for downstream applications such as machine translation.
We present a simple, yet effective, Neural Machine Translation system for Indian languages. We demonstrate the feasibility for multiple language pairs, and establish a strong baseline for further research.
Existing neural generation approaches create multi-sentence text as a single sequence. In this paper we propose a structured convolutional decoder that is guided by the content structure of target summaries. We compare our model with existing sequential decoders on three data sets representing different domains. Automatic and human evaluation demonstrate that our summaries have better content coverage.
Heap's Law states that in a large enough text corpus, the number of types as a function of tokens grows as $N=KM^β$ for some free parameters $K,β$. Much has been written about how this result and various generalizations can be derived from Zipf's Law. Here we derive from first principles a completely novel expression of the type-token curve and prove its superior accuracy on real text. This expression naturally generalizes to equally accurate estimates for counting hapaxes and higher $n$-legomena.
Selectional restrictions are semantic constraints on forming certain complex types in natural language. The paper gives an overview of modeling selectional restrictions in a relational type system with morphological and syntactic types. We discuss some foundations of the system and ways of formalizing selectional restrictions. Keywords: type theory, selectional restrictions, syntax, morphology
Transliteration is a key component of machine translation systems and software internationalization. This paper demonstrates that neural sequence-to-sequence models obtain state of the art or close to state of the art results on existing datasets. In an effort to make machine transliteration accessible, we open source a new Arabic to English transliteration dataset and our trained models.
Usernames are ubiquitous on the Internet, and they are often suggestive of user demographics. This work looks at the degree to which gender and language can be inferred from a username alone by making use of unsupervised morphology induction to decompose usernames into sub-units. Experimental results on the two tasks demonstrate the effectiveness of the proposed morphological features compared to a character n-gram baseline.
A formal theory based on a binary operator of directional associative relation is constructed in the article and an understanding of an associative normal form of image constructions is introduced. A model of a commutative semigroup, which provides a presentation of a sentence as three components of an interrogative linguistic image construction, is considered.
Abstract In this paper, I review the structural and physical properties of the gold mixed-valence complexes, M2[AuIX2][AuIIIX4] (M = Rb, Cs; X = Cl, Br, and I), having perovskite-type structure. In spite of the three dimensional perovskite-type structure, the charge transfer interaction between AuI and AuIII in these complexes is two-dimensional. These complexes undergo the pressure-induced Au valence transition from the mixed valence state of AuI,III to the single valence state of AuII, which is coupled with a structural phase transition. In the pressure region below the Au valence transition, these complexes show a metallic behavior, which would be attributed to a dynamic two-electron exchange between the AuI and AuIII states (i.e. highly mobile bipolarons). The metallic cubic phase appearing commonly for these complexes under high pressure and high temperature can be obtained as a metastable phase even at ambient pressure and room temperature. Moreover, as a recent topic, I report the photo-induced Au valence transition for Cs2[AuIBr2][AuIIIBr4].
Abstract The new compounds A4[Nb6Cl12(N3)6](H2O)2 (A = Rb, Cs) were synthesized from In4[Nb6Cl12Cl6] by substituting six terminal Cl ligands and the In+ ions in methanolic solution. An X-ray structure refinement was performed on single-crystal data of Rb4[Nb6Cl12(N3)6](H2O)2 (1) (space group P1̄, Z = 1, a = 912.5(1) pm, b = 937.2(1) pm, c = 1062.0(1) pm, α = 96.88(2)°, β = 101.89(1)°, γ = 101.44(2)°) and Cs4[Nb6Cl12(N3)6](H2O)2 (2) (space group PI, Z = 1, a = 920.9(5) pm, b = 947.9(7) pm, c = 1091.8(7) pm, α = 96.89(6)°, β = 103.35(5)°, γ = 101.60(5)°. Each of the centrosymmetric [Nb6Cl12(N3)6]4- ions of the isotypic compounds contains six terminal azide groups at the corners of the octahedral niobium cluster (d̄Nb-N = 226(1) pm (1), 225(1) pm (2), bond angles Nb-N-N 120-127°). The [Nb6Cl12(N3)6]4- ions are linked via Rb-N and Rb-Cl interactions of the Rb+ ions to form a three-dimensional structure. Crystals of the compounds react explosively on heating or mechanical pressure.
Elisabetta Pezzati, Aldo Magistris, Alberto Schiraldi
The initial thermoelectric power of the molten systems (Cu, Me) Cl and (Cu,Me)Br (Me=Na, K, Rb, Cs) was determined using copper electrodes. The results are compared with previous results obtained from the systems (Cu, Me) I and (Ag, Me)X (X = Cl, Br, I).