Skolkovo Institute of Science and Technology

SSCHA-based evolutionary crystal structure prediction at finite temperatures with account for quantum nuclear motion

Abstract Reliable crystal structure prediction (CSP) at finite temperatures, including quantum anharmonic effects, remains challenging but is particularly important for systems containing light atoms such as superconducting hydrides. Here, we integrate machine-learned interatomic...

Application of Machine Learning Methods for Processing and Analyzing Data from Probe and Optical Microscopy of Biological Objects

Abstract This review systematizes modern machine learning (ML) methods for solving key image processing tasks in optical microscopy (OM) and atomic force microscopy (AFM). Traditional microscopy data analysis methods face problems of subjectivity, low throughput, and difficulty i...

Colloidal Nanocrystals Regrowth‐Assisted Synthesis of Perovskite Microwire Lasers For Integrated Optoelectronics

ABSTRACT Colloidal perovskite nanocrystals (NCs) are a well‐proven platform for growing anisotropic structures. Nanowires (NWs) exhibiting a quantum confinement phenomenon and microwires (MWs), which enable lasing, are of particular interest for optoelectronic devices. Synthesis...

Comparative genomic analysis of the CsoR-family Ni2+/Co2+ regulators

Metals are essential for many cellular processes, yet at excessive levels they are toxic, therefore metal concentrations in a cell must be tightly regulated. In bacteria, such regulation is often carried out by transcription factors (TFs). Here, we use comparative genomics approa...

Highly Contiguous Is Not Chromosomally Accurate: Integrated Cytogenetic and Genomic Mapping in Two Turtle Genome

Abstract High-quality genome assemblies are essential for robust research across biological and medical fields. Assembly errors can have far-reaching consequences for downstream analyses, including gene annotation and the inference of synteny. In contrast to the rapid growth of g...

Neutron diffraction investigation of residual stress and texture in additively manufactured AISI 410 and 316L steel plates produced by LPBF and DED

Residual stresses pose a significant challenge in additive manufacturing, particularly for large metal parts. Monitoring these stresses is essential to achieving reliable performance characteristics. Neutron diffraction—a nondestructive method that measures residual stresses thro...

Accelerated Alternating Minimization Algorithm for Low‐Rank Approximations in the Chebyshev Norm

ABSTRACT Nowadays, low‐rank approximations of matrices are an important component of many methods in science and engineering. Traditionally, low‐rank approximations are considered in unitarily invariant norms; however, recently element‐wise approximations have also received signi...

Transcriptional and histopathological profiling of skeletal muscle in Bla/J mice at the stage of dysferlinopathy manifestation

Dysferlinopathy is a rare muscular dystrophy characterized by chronic muscle damage and ineffective regeneration. While late-stage morphological changes, such as fibroadipose replacement, are well described, the early molecular mechanisms driving muscle fiber loss and regenerativ...

P2/O3 Biphase Integrated With Fence‐Type Superstructure Enables Robust Sodium Layered Oxide Cathodes

ABSTRACT Layered oxides are promising cathode candidates for sodium‐ion batteries (SIBs) owing to their tunable compositions and high specific capacities. However, detrimental phase transitions, Jahn–Teller (J–T) distortion, and transition‐metal (TM) migration during cycling typi...

Evaluating the radiation tolerance and halide-dependent stability of Cs 0.15 FA 0.85 Pb(I/Br/Cl)3 thin films for optoelectronic applications

The radiation tolerance of mixed-halide perovskites is of considerable interest for next-generation space photovoltaics and nuclear-grade optoelectronics devices operating in harsh radiation environments. In this work, the structural, optical, and electrical evolution of Cs 0.15...

Nonlinear response of a microplate on soft visco-hyperelastic micropillar arrays under base excitation

Abstract Soft visco-hyperelastic micropillar arrays, elastomeric nanocomposites reinforced with graphene, MXene, or carbon nanotubes, provide tunable mechanical compliance essential for wearable sensors, soft robotics, and bio-integrated microdevices. Nevertheless, the nonlinear...

Genomic predisposition is associated with the direction of sex chromosome evolution

Sex chromosome evolution is among the most dynamic genomic innovations in vertebrates, yet why some lineages evolve XY while others evolve ZW remains unclear. Using chromosome-level genomes from 19 geckos, we found that gecko sex chromosomes originated independently from 16 ances...

Surface‐Fluorinated Conductive Carbon for Coupled Electron/Ion Transport Through the Graphite Anode

ABSTRACT Graphite (Gr) is the dominant anode material for commercial lithium‐ion batteries (LIBs). However, its fast‐charging capability is often constrained by sluggish Li + transport and large interfacial polarization under high current densities. Conventional conductive carbon...

Unified framework for efficiently computable quantum circuits

Quantum circuits consisting of Clifford and matchgates are two classes of circuits that are known to be efficiently simulatable on a classical computer. We introduce a unified framework that shows in a transparent way the special structure that allows these circuits to be efficie...

Mechanical Performances of CFRP Rods Under Tension‐Bending Load: Experimental and Theoretical Analysis

ABSTRACT Carbon fiber‐reinforced polymer (CFRP) rods with the advantages of lightweight, high strength, corrosion, and fatigue resistant have a promising application prospect in the field of engineering structures. Due to the lack of mechanical performances and theoretical predic...

Beyond majority voting: a new framework for evaluating AI diagnostic systems against expert consensus

The integration of artificial intelligence (AI) into medical diagnostic workflows requires robust and consistent evaluation methods to ensure reliability, clinical relevance, and the inherent variability in expert judgments. Traditional metrics like precision and recall often fai...