About

Yang Zhou is an Assistant Professor of Molecular Microbiology and Immunology at Brown University. His primary research interests are directed towards understanding the immunopathogenesis of lung injury and repair. He has investigated the roles of a chitinase-like protein and its receptors in various lung diseases, including asthma, chronic obstructive pulmonary disease (COPD), and pulmonary fibrosis. His future research aims to dissect the common mechanisms underlying the pathogenesis of pulmonary fibrosis, with a specific focus on the role of intracellular receptor trafficking pathways in disease progression. His long-range goals are to identify immune and cellular responses that mediate lung injury and repair, and to pinpoint specific molecular targets for potential treatment of related disorders.

Research topics

• Composite material
• Chemical engineering
• Crystallography
• Physical chemistry
• Inorganic chemistry
• Optoelectronics
• Nanotechnology
• Chemistry
• Materials science

Selected publications

• De-identified analysis dataset for peripheral blood karyotyping study submitted to Reproductive BioMedicine Online

  Zenodo (CERN European Organization for Nuclear Research) · 2026-05-18

  datasetOpen access

  This dataset contains a conservative de-identified case-level analysis dataset supporting the manuscript submitted to Reproductive BioMedicine Online (RBMO-D-26-00683), titled "Male Sex, Not Advanced Age, Predicts Constitutional Chromosomal Abnormalities in Peripheral Blood Karyotyping". The public dataset includes generated case IDs and analysis variables for year, sex, age group, advanced maternal age status, standardised clinical indication, karyotype category, pathological abnormality status and high-level mosaic subtype. It excludes original clinical records, patient identifiers, source laboratory identifiers, source filenames, raw clinical indication text, dates, physician/department fields and full karyotype report strings.

  PublisherDOI

• De-identified analysis dataset for peripheral blood karyotyping study submitted to Reproductive BioMedicine Online

  Zenodo (CERN European Organization for Nuclear Research) · 2026-05-18

  datasetOpen access

  This dataset contains a conservative de-identified case-level analysis dataset supporting the manuscript submitted to Reproductive BioMedicine Online (RBMO-D-26-00683), titled "Male Sex, Not Advanced Age, Predicts Constitutional Chromosomal Abnormalities in Peripheral Blood Karyotyping". The public dataset includes generated case IDs and analysis variables for year, sex, age group, advanced maternal age status, standardised clinical indication, karyotype category, pathological abnormality status and high-level mosaic subtype. It excludes original clinical records, patient identifiers, source laboratory identifiers, source filenames, raw clinical indication text, dates, physician/department fields and full karyotype report strings.

  PublisherDOI

• The superoxide anion radical scavenger as interface layer for efficient Cs2AgBiBr6 solar cells

  Applied Surface Science · 2026-04-25

  article
  PublisherDOI

• The magmatic evolution process of the Miyi volcanic rocks in the Emeishan Large Igneous Province and the enrichment mechanisms of associated critical metals (V, Sc, Ga, Cr) in those volcanic rocks

  Bulletin of Mineralogy Petrology and Geochemistry · 2025-10-30

  articleSenior author

  为探讨米易火山岩的岩浆演化过程、伴生关键金属富集机制及其与红格钒钛磁铁矿床的成因联系，我们开展了米易火山岩的全岩主微量元素分析以及MELTS模拟计算研究。结果表明，岩浆演化早期少量钒钛磁铁矿的结晶不会造成岩浆中Fe、Ti含量的显著亏损，而大量钒钛磁铁矿的分离结晶是造成岩浆中Fe、Ti、V亏损的关键因素。岩浆中Sc含量的变化主要受控于单斜辉石结晶，Cr含量变化则与铬铁矿和单斜辉石结晶有关，Ga含量随着分离结晶程度升高而增加。富铁贫硅的熔体进入浅部岩浆房，大量结晶钒钛磁铁矿、单斜辉石等矿物，最终形成红格岩体。残余熔体喷发至地表形成米易玄武安山岩和安山岩。具有Fe-Ti-V亏损特征的低镁火山岩（MgO<6%）可作为深部钒钛磁铁矿成矿的指示标志。

  PublisherDOI

• Unlocking a self-driving research workflow for perovskite photovoltaics

  Matter · 2025-06-01 · 6 citations

  articleSenior author
  PublisherDOI

• Performance-limiting metastable intragrain impurity nanoclusters in metal halide perovskites

  Nature Communications · 2025-12-18

  articleOpen accessSenior authorCorresponding

  Impurity control in metal halide perovskite thin films is crucial for advancing the efficiency and long-term stability of perovskite solar cells. While previous efforts have mainly addressed impurities at grain boundaries and heterointerfaces, efforts have rarely been made to reveal and modulate (sub-)nanoscale impurities within grains. In this work, using low-dose scanning transmission electron microscopy, we observed the nontrivial existence of intragrain impurity nanoclusters, identifying a previously unknown, metastable orthorhombic non-perovskite phase with a parallel chain-like structure, in nominally processed Cs-incorporated mixed-cation perovskite films. First-principles calculations and quasi-in situ observations reveal that these intragrain nanoclusters adversely affect the optoelectronic properties and chemical stability of the perovskite. Guided by these insights, we incorporate inner salts during the solution processing, effectively reducing nanocluster density and enhancing device performance. Clarifying unconventional impurities hidden in perovskite crystal grains opens a research avenue in fundamental understanding and nano-engineering for improved perovskite solar cells and optoelectronics. Wang et al. identify the intragrain impurity nanoclusters of a metastable (FA,Cs)PbI₄ phase, arising from intragrain cation segregation, to be the performance-limiting defect structure in FA–Cs mixed-cation perovskites. An inner salt is introduced to mitigate these intragrain defects, enabling n-i-p perovskite solar cells with efficiency of 26.03%.

  PublisherDOI

• Integrative network and computational toxicology reveal the molecular mechanisms in PFOA-induced spermatogenic disorder

  Journal of Environmental Management · 2025-05-13 · 13 citations

  article
  PublisherDOI

• Bio-inspired multiscale design for perovskite solar cells

  Nature Reviews Clean Technology · 2025-07-15 · 1 citations

  articleOpen accessSenior author
  PublisherOA PDFDOI

• Design and synthesis of GRPR-targeted PET probes based on Dar derivatives for imaging of prostate cancer

  Nanomedicine Nanotechnology Biology and Medicine · 2025-05-22

  article
  PublisherDOI

• PV multiscale modelling of perovskite / silicon two-terminal devices: from accurate cell performance simulation to energy yield prediction

  Solar Energy Materials and Solar Cells · 2025-07-30 · 4 citations

  articleOpen access

  Recent conversion efficiency breakthroughs in double-junction (tandem) perovskite/crystalline silicon solar cells demand advanced opto-thermo-electrical simulations, that are critical for translating laboratory results into realistic photovoltaic module and system performance. A holistic framework is here developed and presented, combining cell-level simulations, spectral analysis, PV module and PV system modelling. After validating the deployed physics models against measured cells and modules, hourly spectral irradiances for Delft, the Netherlands, and Catania, Italy, are generated and clustered into representative “blue-rich” and “red-rich” spectra. The effects of spectral variations on the current-matching and energy yield of tandem modules are quantified. Realistic module architectures are simulated, integrating dynamic temperature and spectrum data. Temperature coefficients are derived as a function of both irradiance and module temperature, significantly improving upon traditional indoor-derived values. Results show that standard indoor-derived coefficients under-/overestimate values in realistic conditions, highlighting the ultimate need for location-specific power matrixes. This study offers a robust pathway to predict tandem module energy yields across seasons and climates, supporting optimized design choices for industrial production and future PV installations. • Validated holistic cell-to-system model links design to performance in SHJ and 2T tandem solar cells. • Simulations benchmark tandem interfaces; textured morphologies show superior optical performance. • G12 tandem modules with textured interfaces yield ∼30% higher STC power than SHJ-based counterparts. • Novel model enables accurate current matching in 2T tandems by accounting for location-dependent spectral irradiance.

  PublisherDOI

Recent grants

• CAREER: Improving Storage System Performance, Dependability and Manageability Using System Mining Techniques

  NSF · $449k · 2004–2010

• RII Track-4: Novel Electrochemistry in Hybrid Organic-Inorganic Perovskite Materials

  NSF · $94k · 2019–2020

• CAREER: Improving Storage System Performance, Dependability and Manageability Using System Mining Techniques

  NSF · $185k · 2009–2011

Frequent coauthors

• Nitin P. Padture

  Providence College

  356 shared

• Shuping Pang

  Qingdao Institute of Bioenergy and Bioprocess Technology

  132 shared

• Min Chen

  Arizona State University

  101 shared

• Yingxia Zong

  Qingdao University of Science and Technology

  93 shared

• Hector F. Garcés

  Providence College

  58 shared

• Mingyu Hu

  55 shared

• Guanglei Cui

  50 shared

• Srinivas K. Yadavalli

  University of Michigan–Ann Arbor

  49 shared